Category: Website Building

If you’ve used an AI design tool and ended up with something that looks like a finished website, only to realize you have no idea how to actually put it online, you’re not alone. The gap between a solid AI prototype and an actual published website is where most AI-assisted projects come to a grinding halt. And while tools like Claude Artifacts, Google Stitch, and Claude Design have made the design stage faster than ever, they haven’t made the often-tedious production stage disappear.

An AI prototype becomes a published website only after that production layer is handled: we’re talking hosting, custom domains, SSL, responsive QA, metadata, backend needs, updates, and maintenance. So while AI design tools help validate the idea, a tool like Coderick AI can help move the validated concept into a managed publishing environment.

Why aren’t AI design tools enough to publish a website?

A prototype shows the idea without handling production

AI design tools are built for speed. You describe what you want, the tool generates it, and, like magic, you have something that truly looks like a complete website — layouts, copy, navigation, interactive states. That’s the point. It lets you test the idea before committing to the beasty infrastructure behind it.

But the output is just a visual representation, and, alas, not the finished product. There’s simply no server behind it. No domain attached. No SSL certificate. None of it. That’s because the prototype lives inside the tool’s environment. So if you close that tab and nothing is publicly accessible, then nobody can find it, navigate to it, or use it the way a real visitor would. 

A visual design is different from a hosted website

A visual design is a set of decisions: what the pages look like, how they’re laid out, what the typography and color are, where the buttons go. A hosted website is infrastructure: a server, a domain, an SSL certificate, a deployment process, a database if anything dynamic is involved. One answers “what should this look like?” The other answers “how does this actually run?” They’re different problems, solved by different tools, and finishing the first one doesn’t start the second.

Publishing adds hosting, domains, SSL, QA, and maintenance

Getting from AI prototype to published website means handling at least six things the design tool didn’t: choosing a host, connecting a domain, provisioning SSL, testing responsive behavior across devices, setting up metadata and analytics, and deciding how updates will be handled going forward. That’s a laundry list of possibly dizzying extras, each adding another round of decisions. 

What’s the difference between an AI prototype and a published website?

An AI prototype validates layout, flow, and functionality

An AI prototype is a working representation of an idea. It shows what the pages look like, how navigation connects them, and (if the tool supports it) how interactive elements behave. A Claude Artifact can be a fully interactive React component. A Google Stitch output is high-fidelity UI screens and front-end code. A Claude Design project offers a structured handoff package with layout, copy, and requirements.

All super valuable outputs. But, disclaimer: all built to answer design and validation questions, not production ones.

A published website needs infrastructure and ownership

A published website has an address anyone can type into a browser. It loads over a secure connection. It stays up when you’re not logged into the tool that made it. It has an owner (you) who controls the domain, the hosting account, and what happens when something needs to change. There’s a massive infrastructure gap between the prototype and a published website.

A production website must be tested, secured, and maintained

Going live opens a whole different kind of work. A proper production website needs responsive QA across real devices, accessibility checks, page speed testing, form submission testing, SSL verification, and analytics setup before the first real visitor arrives. 

Then, after launch, it needs updates, security monitoring, and a process for making changes without breaking anything. The website checklist for launch day is indeed longer than most prototyping workflows account for.

Stage	What it proves	What it still needs
AI prototype	Idea, layout, interaction, visual direction, user flow	Hosting, domain, SSL, QA, maintenance
Design handoff	Screens, copy, user flow, requirements, source files	Build path, backend decisions, publishing
Published website	Live public experience on a controlled domain	Monitoring, updates, SEO, security, maintenance ownership

Which AI design tools help before publishing?

Claude Artifacts help test interactive ideas

A Claude Artifact is a standalone output that Claude generates in a side panel: a web page, React component, form, calculator, chart, or interactive prototype. Artifacts run in the browser and can be shared via a claude.ai URL, embedded in another page, or downloaded as source files. They’re great for testing a specific interaction, validating a layout, or building a component that can be handed off to production.

Google Stitch helps create UI direction

Google Stitch is a free AI-powered UI design tool from Google Labs that turns text prompts, uploaded images, sketches, and wireframes into high-fidelity interface designs and front-end code. Stitch generates several complete UI directions from a single prompt, then lets you refine and export.

Claude Design helps create design projects and handoff bundles

Claude Design is Anthropic’s design tool, still in early access. Describe what you want, refine it through chat, tweak layouts with sliders, and leave inline comments. It’s a pretty great way to nail down a visual direction. When you’re ready to hand it off, you can export to a zip folder, standalone HTML, Canva, PDF, or PPTX.

Other AI design tools may still need a production path

These processes often apply to other AI design tools. Screens, code, interactive mockups — they usually stop at the design layer. The production path is often a separate decision, and the source of the prototype determines which handoff workflow fits.

What does a prototype need before it becomes a published website?

Clear page structure and navigation

Before any prototype goes into production, you’ll want to tackle work though an AI website builder checklist, which includes outlining your page structure. That means a defined list of pages, a navigation model that covers how users move between them, and a clear decision about which pages are static, which pull from a database, and which require authentication. A prototype often implies this structure visually without making it explicit. But production needs it in writing.

Final copy, calls to action, and content blocks

A prototype almost always contains placeholder copy. Production calls for final text: headlines, body copy, calls to action, button labels, form field labels, and error messages. Copy decisions that seem trivial when you’re spitballing the prototype, like the exact text on a call-to-action button, ultimately affect conversion rates on a live site. So that final copy really belongs in the handoff brief, not in the production sprint.

Responsive layouts for mobile, tablet, and desktop

Most AI design tools generate desktop layouts by default, which is great, but a published website needs to also work correctly on mobiles and tablets. So, sure, you can review these elements after the production build, but the prototype should at least include mobile-specific decisions. That is, navigation behavior at small screen widths, form layout on touch devices, and any components that need to restructure below a certain viewport size.

Forms, backend, database, or login requirements

Let’s say you want to include a contact form, booking system, user account, CRM, dashboard, or really any feature that stores or retrieves data on your website. All of these requirements need to be specified before production starts. That’s because while the prototype can show that a form exists, it doesn’t automatically articulate where the submissions go, how they’re stored, or who can access them. And when those kinds of backend decisions get made during production rather than before, during prototyping, they tend to get sloppy, adding both time and cost.

SEO metadata, analytics, and indexability

A prototype has no SEO metadata, no proper page titles, no meta descriptions, no sitemap configuration, no robots.txt rules, no canonical URLs, and no analytics. And hey, that’s fine, because it’s a prototype. The production build is where all of this gets set up for the first time, and it’s worth doing before the first visitor arrives rather than cleaning it up afterward. Run through an SEO checklist, and get those analytics set up before launch to make sure the basics are covered.

How do you move from AI prototype to published website?

The path from AI prototype to published website follows these same five steps regardless of which AI design tool produced the prototype. 

• Step 1: Validate the prototype
  Confirm that the prototype solves the problem it was designed to solve. This means reviewing the layout, user flow, and key interactions against the original goal. Get sign-off from any stakeholders who need to approve the design before production starts. Changes made after production starts cost more time and credits.
• Step 2: Create a production handoff brief
  Document everything the production build needs that isn’t visible in the prototype: the page list, final copy, user flow, form behavior, backend requirements, domain details, launch requirements, and maintenance expectations. The handoff brief is what prevents the production tool or developer getting lost in making decisions that should have been made during the design stage. A clear brief means the first production build is close to the approved design.
• Step 3: Choose a publishing path
  The right path depends on how much you want to manage. If you want hosting, SSL, publishing, and updates handled in one place without touching code, Coderick AI is the direct route. If you need source-code ownership, a custom deployment pipeline, or a developer-controlled environment, you’ll be looking at a separate build process using something like Claude Code (not your jam? Consider Claude Code alternatives). The decision table later in this article maps the most common starting points to the right next step.
• Step 4: Build or recreate the production version
  In a managed publishing environment, the supported prototype files, screenshots, and the handoff brief go in together as production inputs. The production tool reads the source files, applies the design intent, and builds on top of it: adding pages, wiring up functionality, and extending the layout. In a developer-controlled path, the prototype becomes a specification that the developer builds from. Either way, the prototype is the brief, not the deliverable.
• Step 5: Test, publish, and maintain the live website
  Before publishing, confirm that the live build matches the approved prototype, forms work correctly, responsive behavior holds across devices, SSL is active, metadata is set, and analytics are tracking. After publishing, the live website then needs a maintenance workflow: a process for content updates, a monitoring setup that catches errors, and a path for adding new features without taking the site down.

Where does Coderick AI fit after an AI prototype?

Coderick AI acts as the managed publishing path

Coderick AI is SiteGround’s AI website and web app builder. Describe what you want to build, and Coderick AI generates it. Hosting, SSL, custom domain, database, version control, and deployment are all included. Hit Publish and the site is live, backed by SiteGround’s infrastructure across more than 3 million domains. There’s no separate server setup, no hosting account to manage on the side , which is also why users who want a managed website outcome can build a website without OpenAI Codex.

The prototype becomes the production brief

Coderick AI accepts both text prompts and file uploads, which means the prototype output can go directly into the build. That means a Claude Artifact’s exported source files, a Google Stitch HTML export, or a set of screenshots from a Claude Design project can all serve as starting points. 

Coderick AI simply reads the uploaded files and builds on top of them rather than starting from scratch so that the design decisions made during prototyping are preserved in the production build.

Hosting, SSL, publishing, and updates move into one environment

After the initial build, all updates happen through the same Coderick AI chat interface. Describe the change (a new content block, a revised form, a layout adjustment, a new page) and Coderick AI applies it and deploys automatically. Plus, there’s no separate hosting control panel, no FTP client, no deployment pipeline to manage. 

For those of you who don’t want to own or manage infrastructure, this is the difference between creating a pretty prototype that goes nowhere fast, and one that becomes a fully maintained, production website.

Version control is built in so if an update breaks something you can roll back without a crisis. Projects that need user authentication support that too. Plus everything runs on the same infrastructure behind managed hosting at SiteGround, so it’s convenient, fast, and reliable.

Coderick AI is useful when users don’t want to manage the production stack

The decision between Coderick AI and a developer-controlled path comes down to one question: does the project need source-code ownership? If it does, because of any number of reasons (custom architecture, complex integrations, Git workflows, or a development team that will maintain the codebase) the project belongs in a developer environment. 

If none of that sounds remotely of interest to you, and all you need is a finished business site, landing page, booking system, membership area, CRM, or dashboard, then you can build a website without Claude Code and use Coderick AI as the faster publishing path.

And, worth considering: for those of you who might already be paying for Claude Code and then separately solving hosting, SSL, deployment, and maintenance, Coderick AI may also be the more predictable budget.

What should a prototype-to-website handoff include?

Prototype link, screenshots, or exported files

The handoff starts with the design output itself:

• The prototype URL or shareable link
• Screenshots of key states: default, hover, error, empty, and mobile views
• Exported source files the design tool supports

For Coderick AI, exported source files are more useful than screenshots alone. The tool reads .html, .css, .scss, .js, .jsx, .ts, .tsx, and .md files directly, so the website structure built in the prototype can carry over to the production build without being re-described from scratch.

Page list, navigation, and user flow

Don’t just hand over the prototype and assume the page structure is obvious. Document every page the production site needs, how website navigation connects them, and the two or three user journeys that matter most. Those decisions are easy to lose between the design tool and the build.

Copy, CTA placement, and content requirements

Final copy for every page means:

• Headlines, body text, and button labels
• Form field labels, confirmation messages, and error states
• CTA placement confirmed before production starts, not defaulted by the build tool
• Any content that needs regular updates — testimonials, pricing tables, event listings — so the production build can account for how it’ll be managed

Forms, backend, database, and login needs

Backend decisions are the hardest to change once the build is done. Before production starts, document every form the site needs, where submissions go, how data is stored, and what authentication looks like if the site has user accounts. Getting this wrong mid-build costs more than getting it right in the brief.

Domain, hosting, SSL, and maintenance requirements

If you have a domain, note it in the brief. If you don’t, add “buy domain” to the launch checklist. Then, in Coderick AI, SSL can be handled automatically once the domain points to SiteGround nameservers. Also define the maintenance workflow before you launch: who’s keeping the site updated, how new pages get added, and whether you want a staging environment to check changes before they go live.

Handoff checklist

Before you move into production, use this checklist to confirm everything the build needs is documented and ready. Anything left blank is a decision that will get made during the build instead of before it.

• Prototype source: link, supported exported files, screenshots, or visual references
• Website goal: what the site needs to achieve
• Target audience: who it’s for
• Pages needed: full production page list, including pages not shown in the prototype
• Navigation: how pages connect and what’s in the main menu
• Final copy: headlines, body text, button labels, error messages
• Calls to action: exact wording and destination for each
• User flow: the two or three journeys that matter most
• Forms: fields, validation rules, success/error states, and where submissions go
• Backend/database needs: any dynamic content, data storage, or integrations
• Authentication needs: user accounts, login requirements, access levels
• SEO title, meta description, canonical URL, and indexability notes: for every page
• Custom domain: registered or still to buy
• Launch requirements: anything that needs to be true before go-live
• Maintenance expectations: who updates the site, how often, and through which workflow

Which publishing path should you choose after an AI prototype?

The production path is broadly the same regardless of which tool you used, but the source asset determines where you start. The table below maps the most common starting points to the right next step.

Starting point	What you’re working with	Where to go next
Claude Artifact	An interactive artifact with exportable source files	Turn a Claude Artifact into a real website
Google Stitch design	UI screens with exportable front-end code	Turn a Google Stitch design into a real website
Claude Design project	A structured design handoff with export options	Turn a Claude Design project into a real website
No existing prototype	Just the idea, no design output yet	Start directly in Coderick AI

If you have a prototype, the handoff brief from the previous section is what you’ll use to turn a validated prototype into a live website in Coderick AI. If you’re starting from scratch, you can skip straight to Coderick AI and vibe code from the idea directly.

What should you test before the website goes live?

Visual match to the approved prototype

Before anything else, compare the production build to the approved prototype screen by screen. Typography, spacing, color, and layout should match. So should the states that are easy to miss — empty, loading, error, hover. The earlier a visual mismatch is caught, the cheaper it is to fix.

Responsive behavior on mobile and desktop

Though it’s tempting, don’t just resize the browser window. Open the live site on an actual phone and check that navigation works, forms are usable, images scale correctly, and text is readable without zooming. Better yet, watch someone else do it to see how they interact with your site.

Forms, buttons, navigation, and interactive states

Submit every form with both valid and invalid data. Check that validation messages appear, confirmations show after a successful submission, and nothing silently fails. Click every button, every link, every dropdown. If it’s interactive, test it.

Accessibility, contrast, and readable typography

Accessible web design is a legal requirement in many jurisdictions, so it’s worth having on your radar. Before launch, check that text color contrast meets WCAG 2.1 AA standards (4.5:1 minimum for body text at 16px or above), that images have descriptive alt text, that keyboard navigation works without a mouse, and that form fields have proper labels.

Page speed, metadata, indexability, and analytics

Before launch, run a Core Web Vitals check, keeping in mind that unoptimized images and layout shifts during load are the two most common failures on AI-generated sites. Also confirm every page has a unique title tag and meta description, the sitemap is accessible, and analytics are firing. These checks take less than an hour and prevent weeks of SEO cleanup after launch.

Custom domain, SSL, and maintenance workflow

Check that the domain loads the right site and the connection is secure (the URL should show HTTPS, not HTTP). Then, before you call it live, confirm who updates the site after launch, how new pages get added, and what happens if something breaks. 

The AI prototype is done. Now let’s publish.

It’s clear by now that moving from an AI prototype to a published website requires a lot more than a design tool. But it doesn’t have to be a complicated process. Validating the idea is the first step. The production layer (hosting, domain, SSL, backend, and ongoing maintenance) is what turns that idea into something people can actually visit. 

For people like you who want to turn a validated prototype into a live website without managing all the tedious extras, Coderick AI handles the production layer in one managed environment, from first build to ongoing updates.

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Frequently asked questions

OpenAI Codex is a coding agent built for software-engineering workflows: existing codebases, coding tasks, pull requests, code review, and developer-managed changes. Powerful stuff, if that’s your world. But maybe none of that is what you’re after. You just want a website, a real one, live and working. That’s where Coderick AI comes in. SiteGround’s AI website and app builder takes you from plain-language description to published site, with hosting, security, and your domain handled along the way.

When does OpenAI Codex make sense for a website?

When OpenAI Codex helps

Codex earns its keep when you already have a software project, codebase, or development workflow. It can write new features, fix bugs, and propose changes for a developer to review, all while running in a private cloud environment loaded with your existing code. Teams use it to run multiple development tasks in the background at once, with each result coming back as a tidy package ready for review. If that sentence made sense to you, Codex might be for you.

When OpenAI Codex is unnecessary

If your goal is a live website rather than a software-engineering project, Codex brings a lot of equipment you just won’t use. Before you’ve written a word of copy or picked a font, you’d be creating a code repository, installing a code editor, and wiring it all up to a GitHub account. After all that, you’d still need to separately sort out hosting, security certificates, and your domain. That’s a developer’s setup path, and if a website is what you came for, there’s a shorter, easier way, and if Codex feels too technical for the website you want to launch, OpenAI Codex alternatives for beginners can help you choose a simpler starting point.

When a managed website path is simpler

The easier way is a managed AI website builder. Tools like Coderick AI take the infrastructure layer off your plate entirely. All you have to do is describe what you want, the site gets built, and it goes live through a single platform. No code editor, no repository, no technical setup, no headaches.

What does OpenAI Codex add to the website-building workflow?

It adds a developer’s process between your idea and a live site. For actual software projects, that workflow does real work. But for someone who just needs a website, it mostly just gets in the way. Here’s how OpenAI Codex works:

It works on code projects, new or existing 

Codex can start a new project from a prompt or work inside an existing codebase, reading files, analyzing structure, and making changes inside a protected test environment. Either way, the tasks it’s built for are developer tasks: restructuring code, adding test coverage, building new features, and generating technical documentation. Whether it’s working with something new or something established, the output is always code. Getting that code to a live website is still a separate step.

It can review code changes and proposed updates

One of Codex’s developer-specific capabilities is code review. OpenAI describes it as checking whether a proposed set of code changes actually matches what the developer said they were trying to do, across the entire codebase, not just the files that were edited. Genuinely useful for developers. That’s genuinely useful for developers. For someone who just wants a homepage and a contact form, it’s completely out of scope and overkill by a long stretch.

It fits the Codex app, Codex CLI, and editor-based workflows

Codex runs in four places: a command-line tool (text-based interface developers use to run commands), code editors like VS Code and Cursor, a desktop app, and a cloud service for background tasks connected to GitHub. Every entry point assumes you’re already inside a development environment and understand what these terms mean. 

It still leaves you with hosting and launch decisions

OpenAI recently launched Codex Sites, a plugin that lets Codex build and deploy hosted websites without setting up a separate hosting workflow. On the surface, that sounds like it closes the gap, but the details matter. Codex Sites is currently in preview and only available for ChatGPT Business and Enterprise workspaces, so it’s not accessible to most individuals or small businesses. And even within those tiers, the documentation makes clear it’s built for internal team tools: dashboards, request trackers, and apps shared within a workspace. There’s no custom domain support, and access controls are built around workspace membership rather than the open web.

For a small business owner, freelancer, or founder who wants a public website with their own domain, the hosting problem is still theirs to solve. Codex Sites isn’t built for that use case, at least not yet.

Why would a non-technical person avoid OpenAI Codex?

Codex is built around developer concepts that don’t always map to “I want a website.” It was never designed for non-technical users in the first place. Here are the obstacles that get in the way:

They don’t want to manage a coding-agent workspace

Using Codex means setting up a developer environment, framing your goal as a coding task, and monitoring the output. By June 2026, Codex grew to more than 5 million weekly active users, though developers remain the dominant audience, and the core workflow is still built around code tasks, not website publishing. Non-technical users aren’t avoiding Codex because it’s hard to find. They’re actually avoiding it because what it gives you is a developer workflow (task queues, code environments, change reviews) when what they actually need is simpler: describe a website, and see it live.

They don’t want to review code changes before publishing

When Codex finishes a task, it produces a “diff,” meaning a report showing exactly which lines of code were added, changed, or removed. That’s just one of several technical checkpoints (alongside sandboxes, pull requests, and deployment configs) that make sense to a developer but add unnecessary complexity for someone who just wants a live website. It’s a developer workflow, and it stands between you and the live website you want to launch. Non-technical users don’t need a coding agent; they need a builder where the output is the website, not the code behind it.

They don’t want GitHub, repositories, or editor setup

Before Codex runs on anything, there’s a setup list: a GitHub account, a code repository for your project, a supported code editor or the Codex command-line tool, and enough familiarity with how code projects are structured to point Codex in the right direction. For an experienced developer, that’s already in place. For someone building their first business website, it’s weeks of learning overhead before a single page is live.

They don’t want to configure hosting, domain, or security settings separately

As noted above, Codex Sites can handle deployment for Business and Enterprise workspace users, but for everyone else, making a site accessible on the public internet is still a separate task. It means setting up web hosting, configuring your domain name to point to the right place, and getting an SSL certificate (the security layer that lets your site load over a secure connection). Codex isn’t alone in this. For non-technical users, building a website without Claude Code comes down to the same thing: you want a live site without the technical setup that coding tools leave on your plate. The same decision applies to Anthropic’s coding tool: if Claude Code feels too technical for the website you want to launch, Claude Code alternatives for non-technical users can help you choose a simpler starting point.

They want a live website, not a software-engineering workflow

OpenAI Codex is a tool for engineers building software. If your goal is simpler, however, like a website or web app that’s live and working, an AI builder like Coderick AI is the better fit.

What’s the simpler path if you don’t want Codex (or aren’t a developer)?

It starts with a different question. Not “what coding tasks do I need to set up?” but “what does this website need to do, and how do I get it live?” That’s the real split between the two kinds of tool. Ask a coding agent and it pulls the conversation toward the code. Ask an AI builder like Coderick AI and it pulls the other way, toward the site itself: what it should say, how it should look, when it goes live. That is the same logic behind a managed path from prototype to published website.

Start with the website outcome, not the code task

A business website, a booking page, a portfolio, or a simple web app are goal-level outcomes. The technology that produces them is an implementation detail you shouldn’t have to manage. When you start from what you want the website to do, the right tools are the ones that handle the technical side automatically.

Pick a managed builder that launches your site, not one that just writes code

A managed AI website builder produces a live website from a plain-language description. It handles the code generation, hosting, and publishing as part of one workflow. A coding agent produces code, and then leaves you to sort out the rest. For someone who just wants a site live, the managed path skips the layer where most of the friction is.

Keep publishing, hosting, domains, and updates in one place

Juggling multiple tools adds complexity fast. A site built in one tool, hosted on a separate platform, with your domain managed somewhere else, and your security certificate set up through yet another provider — that’s four tools doing one job, and four things that can break on a Sunday night. A managed environment brings all of it under one roof, and, if chosen right, with around-the-clock expert support should you need it.

How does Coderick AI replace the technical setup around Codex?

Coderick AI is SiteGround’s AI website and web app builder. Instead of a developer workflow, it gives you a chat interface: describe what you want, and Coderick AI builds it. It’s that easy. No code review, no technical setup, no separate hosting to configure.

Describe the website or app instead of opening a coding project

You start by describing your project in plain language (a booking page, a portfolio, an internal tool for your team) and Coderick AI generates a working result. There’s no repository to create and no task queue to manage. The starting point is what you want the site to do, not how the code behind it should be structured.

Build pages, forms, dashboards, or simple app logic through prompts

Coderick AI covers a wide range of projects: business websites, landing pages, portfolio sites, product catalogs, booking pages, client dashboards, simple CRM tools, membership areas, order management pages, task trackers, and invoice generators. The list goes on. You can also ask for animations, scrolling effects, and custom design touches, all through conversation rather than code review.

And if you’ve already got some work to bring in, Coderick AI now supports file uploads. You can drop in existing files (including HTML, CSS, JavaScript, TypeScript, and Markdown) directly into the chat and build from there. No repository, no code editor, no technical transfer process required.

Publish without managing a separate deployment workflow

When your Coderick AI project is ready, publishing is one step inside the same managed environment. There’s no process to configure, no server to set up, and no staging environment to manage. The site goes live on SiteGround’s hosting infrastructure automatically.

Connect the live project to hosting, security, and your own domain

Your Coderick AI project runs on SiteGround’s enterprise-grade hosting, with an SSL security certificate included. You can connect a custom domain name without manually adjusting settings through a separate registrar account. Hosting, security, and domain management all happen inside the same platform where you built the site.

Update the project without reviewing code changes manually

After your site is live, updates work exactly the same way the build did: you just describe the change, and Coderick AI applies it. Et voilà. There’s no code change report to review, and no technical approval step. For anyone managing their own site on an ongoing basis, that’s a significant removal of friction from what is otherwise a recurring, time-consuming, and possibly costly task.

What do you avoid by using Coderick AI instead of OpenAI Codex?

It’s not just that Coderick AI is simpler. It’s that it removes a whole category of tooling that most website owners were never supposed to need in the first place.

No coding-agent task setup

Codex needs the work framed as a developer task: “fix this bug,” “add this feature,” “rewrite this module.” Coderick AI, on the other hand, takes “I need a booking page for a photography studio with a contact form and a gallery” and builds it. That’s not just a nicer interface but rather a different starting point that determines whether you can use the tool at all.

No code change review before publishing a simple site

Every Codex task finishes with a code change report that you’re expected to review before anything updates. For developers, that’s a sensible safety check. For someone building a landing page, it’s a mandatory technical step they have to clear just to hit publish.

No GitHub account required for basic website projects

Codex Cloud connects to GitHub repositories to do its work. Coderick AI doesn’t require a repository at all for new projects. If you’ve got existing files to bring in (HTML, CSS, JavaScript, TypeScript, Markdown), you can upload them directly to the chat. No GitHub account, no branching setup, no commit history to manage, no learning a foreign technical language.

No manual process to get the site live

Codex produces code. Getting that code onto a live website requires a separate deployment process: a build tool, a hosting account, configuration settings, environment variables, and usually a fair amount of Googling. With Coderick AI, building and publishing happen in the same workflow. When you’re done, the site is live.

No separate hosting or security certificate setup

Every Coderick AI project runs on SiteGround’s infrastructure, with an SSL security certificate and CDN included. Hosting isn’t a separate decision after the site is built. It’s part of the platform from the start.

Less to manage after launch

Sites built through a Codex workflow spread across multiple tools: the code lives in one place, the hosting in another, the security certificate in a third. Each one is yours to maintain. Sites built through Coderick AI stay in one platform. For anyone managing a site without a technical team, that consolidation is a major win.

When should you still choose OpenAI Codex?

Codex is the right tool when the work is truly a software engineering task. There are real situations where its depth is exactly what’s needed.

You need full control over your source code

If your project needs to live in a code repository — with a full change history, the ability to branch and test in parallel, and rollback to any previous version — Codex fits that requirement. While Coderick AI includes version control at the project level, it’s built for website and app iterations, not for teams managing a shared codebase across multiple developers.

You already work in the Codex app, the Codex CLI, or a code editor

If your workflow already lives in VS Code, Cursor, Windsurf, or the Codex command-line tool, adding Codex as a coding agent is a natural extension of what you’re already doing. The setup cost is minimal because the environment is already in place.

You need code review, automated tests, and change tracking

Codex can write automated tests, propose changes for review, and check whether proposed updates actually match what was intended. For teams that ship software through a structured review process, those capabilities are hard to replicate with a managed website builder.

You need advanced integrations or custom-built architecture

Custom backend logic, complex connections to third-party services, multi-system architectures, and enterprise-scale engineering require hands-on code control. Codex can work across an entire codebase and make coordinated changes across dozens of files. So even though Coderick AI handles a broad range of business applications well, the serious custom engineering belongs in a software development workflow.

You want a coding agent for software work

OpenAI Codex is a software engineering agent, full stop. It runs tasks in isolated cloud environments, ships proposed changes through a review process, and connects to the tools developers already use. For developers building software rather than just websites, it’s the right tool for the job.

Is Coderick AI the right path if you want to skip OpenAI Codex?

Use this table to match your situation to the right tool.

Your situation	Better path	Why
You want a live site without touching a developer workflow	Coderick AI	The process starts from what you want the site to do, not from a coding task
You don’t want code change reports, GitHub, or repository setup	Coderick AI	The managed path removes the developer layer entirely
You need hosting, security, publishing, and updates in one place	Coderick AI	SiteGround built Coderick AI as an all-in-one hosted AI website and app builder, with infrastructure included
You already have a codebase you want to extend or modify	OpenAI Codex	Codex is built for software engineering work against existing code projects
You need automated tests, code review, and change tracking	OpenAI Codex	Codex can review proposed changes, write tests, and suggest updates across an entire codebase

Ready to build without the developer overhead?

If your goal is a live website and not a software engineering project, the path is clear. Coderick AI skips the repositories, the code review, the deployment process, and the hosting setup, and gets you to a published site instead. Meanwhile, the 14-day free trial gives you enough runway to go from first prompt to published site, no commitment required.

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Frequently asked questions

Claude code pricing stops at the code, whereas getting to a live site? That’s on you. Building, launching, hosting, securing, and maintaining what you create with that code adds costs that the plan price simply doesn’t cover.

Claude Code can be accessed through Claude subscription plans or API usage, but the real cost goes beyond this, as it depends on usage limits, usage credits, project complexity, and the production stack around the code. Developers may already plan for hosting, databases, deployment, monitoring, and maintenance. But non-technical users should ask whether they need Claude Code at all, or whether Coderick AI is a more predictable all-in-one path for a website or а web app.

What is Claude Code?

Claude Code is an agentic coding assistant built by Anthropic, and understanding its full cost starts with knowing what it actually is. Unlike the Claude chat interface you use in a browser, Claude Code lives in your computer’s terminal and works directly alongside your code. It can read files, write and edit code, run commands, and work through multi-step development tasks, all from the command line.

If you’ve been vibe coding with Claude in the browser and are wondering whether Claude Code is the next step, it’s worth stopping here. Claude Code is designed for people who are already comfortable in a development environment. If terms like “terminal”, “repository,” and “command line” made you pause just now, that’s actually useful information because it’s worth understanding what Claude Code involves before you commit to a plan that includes it.

What is Claude Code pricing in 2026?

Claude Code doesn’t have its own separate price tag. It’s included in certain Claude subscription plans, or you can access it through Anthropic’s API and pay based on how much you use. There’s no free Claude Code plan. The free Claude tier covers chat only.

Claude Pro pricing

Claude Pro costs $20 per month, or $17 per month if you pay annually ($200 upfront). It’s the entry-level plan that includes Claude Code, and for most individuals it’s the natural starting point. You get access to Claude’s main models and a usage budget that refreshes every few hours.

Who it’s for: Individuals and solo developers who want to try Claude Code without a heavy commitment. Good for focused sessions, smaller projects, and getting started.

One thing worth knowing upfront: your Claude Code usage and your regular Claude chat usage share the same budget. If you spend a long session building something in Claude Code, that can eat into what’s available for your other Claude work in the same window. It’s one shared pool, not two separate ones, so a big morning Claude Code-exploration session could leave you feeling a bit short-changed by lunchtime.

Claude Max pricing

Claude Max comes in two tiers. Max 5x costs $100 per month and gives you five times the usage capacity of Pro. Max 20x costs $200 per month and gives you twenty times. Both are monthly only. There’s no annual discount.

Who it’s for: Developers who regularly hit Pro limits and need more daily headroom. Max 20x is for full-day heavy users where the flat rate works out cheaper than paying per use.

Max makes sense once you’re consistently running out of capacity mid-session. Most people starting out won’t need it right away. And if you’re not sure whether you need it, you probably don’t.

Claude Team pricing

Claude Team plans are for organizations and small teams that need shared billing, administration, and seat-level access. There are two seat types. Standard seats cost $20 per seat per month annually (or $25 billed monthly). Premium seats cost $125 per seat per month (or $100 annually) and give five times more usage headroom, making it the right choice for developers using Claude Code heavily throughout the day. There’s a minimum of five seats, but you can mix Standard and Premium seats on the same account.

Who it’s for: Teams with a mix of heavy and light Claude Code users. Premium seats suit developers using Claude Code intensively throughout the day; Standard seats work for anyone who needs Claude Code occasionally or mainly uses Claude chat. Premium seats include five times more usage capacity per session than Standard seats.

Claude API pricing

An API is essentially a direct line to Claude’s brain. There’s no subscription, no plan, just a connection your developer (or your tools) can tap into and pay for exactly what they use. Think of it like a pay-as-you-go meter rather than an all-you-can-eat plan. Usage is measured in tokens, which are roughly three-quarters of a word each, and billed per million. As of June 2026, the rates are:

Model	Input (per MTok)	Output (per MTok)
Claude Haiku 4.5	$1.00	$5.00
Claude Sonnet 4.6	$3.00	$15.00
Claude Opus 4.8	$5.00	$25.00

Who it’s for: Developers and teams building automated workflows or tools on top of Claude Code, where usage is variable and unpredictable. For regular daily use, a flat subscription plan is simpler and usually cheaper.

One trap worth flagging: if you’re a developer and you have an Anthropic API key configured in your setup, Claude Code may bill at these per-use rates instead of through your subscription, even if you have an active plan. It’s one of those things that’s obvious in hindsight and annoying in real life. Worth double-checking before a long session if you’re not sure which billing path is active.

What changed with Claude Code pricing and limits in 2026?

The main 2026 changes to Claude Code aren’t new plan tiers or price increases. They’re about Claude Code rate limits, and specifically how much you can do within your plan before hitting one.

Higher Claude Code usage limits

On May 6, 2026, Anthropic doubled the usage limits on Claude Code for all paid plans: Pro, Max, Team, and Enterprise. The change came alongside a large compute expansion through a partnership with SpaceX’s Colossus 1 data center. In plain terms: you can do roughly twice as much in a single session before hitting a usage limit.

The doubling applies to the per-session limit, not the weekly one. Weekly limits stayed the same in this announcement, though a separate temporary promotion from May 13 through July 13, 2026 added a further 50% on top of that across all plans.

Removed Pro and Max peak-hour reductions

Before May 6, 2026, Pro and Max users got less Claude Code capacity during busy periods of the day, when lots of people were using Claude at the same time. Anthropic was quietly throttling usage during those windows, which meant your plan felt less powerful at the exact times you were most likely to be working. Not ideal. That’s now permanently gone for Pro and Max. Your plan delivers the same capacity at 10am as it does at 10pm.

Usage credits became more important for heavy users

In 2026, Anthropic added an option that lets you keep working after you’ve hit your plan’s included limit, by switching to pay-as-you-go pricing for the overage. You set a monthly spend cap so it doesn’t run away from you; you can also toggle on and off whether you tap into your credits. Both are useful safety valves, but the option does mean your monthly cost may no longer be strictly fixed. Usage credits are billed separately from your subscription, so it’s worth keeping an eye on them if you’re using Claude Code heavily.

How do Claude Code usage limits affect the real cost?

Usage limits are where the plan price and what you actually spend start to diverge. The subscription tells you the floor. Your usage patterns, credits, and API billing determine the ceiling.

Claude and Claude Code share the same usage limits

If you’re on Pro or Max, your Claude chat and Claude Code usage come out of the same pot. That means a long Claude Code session in the morning can leave you with less capacity for regular Claude work later in the day. It’s not a separate Claude Code limit. It’s the same budget being used in two places at once. 

Usage credits can add separate pay-as-you-go costs

When you hit your plan’s limit and usage credits are enabled, you keep working but the meter switches to pay-as-you-go. Those overage charges are billed separately on top of your flat subscription. For a Pro subscriber who triggers this regularly, the combined monthly cost can start creeping toward what Max 5x would have cost outright. It’s worth knowing how often you’re hitting your limit before deciding whether to upgrade your plan or rely on credits.

API-key usage can create different billing behavior

This one’s mainly relevant if you or your developer have set up Claude Code with an API key directly. In that setup, all Claude Code activity is billed at per-use rates rather than through your subscription plan, even if you have an active subscription. It’s a common source of unexpected charges and easy to miss if no one’s watching the API account.

What are the hidden costs of building with Claude Code?

Claude Code pricing covers access to the AI assistant, but doesn’t cover the infrastructure needed to put what you’ve built somewhere the rest of the world can actually reach it. That’s where the bill (and list of things to do) has a habit of quietly growing. So while not every Claude Code user is building something that needs to go live (some use it for internal tools, existing codebases, and so on), if the goal is a standalone website or web app there will be separate costs. Hosting, SSL, domains, and ongoing maintenance are all outside the subscription. As such, some users may find a managed path the more straightforward route.

Hosting and deployment

Code generated or edited through Claude Code doesn’t run anywhere by default. It sits on your machine, being code. Deploying it requires somewhere for it to live: a cloud platform, managed hosting, a VPS, or a containerized runtime. Monthly costs range from a few dollars for static sites to several hundred for production web applications with real traffic. None of that is covered by the Claude subscription. Neither is the process of implementing it.

Custom domains and SSL

Your project also needs a domain name and an SSL certificate (the padlock in the browser bar that tells visitors the site is legit). Domain registration typically runs $10 to $20 a year, and while SSL is often included with hosting, the DNS setup and domain configuration take time even when the certificate itself is free. Users who are comparing cost because Claude Code feels too technical can also look at Claude Code alternatives for beginners.

Databases, backend services, and monitoring

Any application that stores user data, handles authentication, or processes payments needs a database and backend services. Managed databases on platforms like AWS or Google Cloud add a database cost that scales with storage and query volume. Application monitoring, error logging, and uptime alerting typically mean additional subscriptions. These are standard costs for any code-first project, regardless of which AI tool helped write the code.

Maintenance, updates, and debugging time

Code written today needs attention later. Dependencies go stale. APIs change their minds. Bugs show up in production that had no business being there. Each update cycle takes developer time, and for non-technical users without a developer available, that maintenance cost has a market rate. This is especially true when comparing an AI prototype to published website costs, where the production layer often turns out to be the real ongoing cost.

Do you need Claude Code, or a predictable all-in-one website path?

The decision between Claude Code and a managed builder path isn’t really about AI capabilities. It’s about whether you need a codebase, who’s going to manage the infrastructure it requires, or whether you can build a website without Claude Code in the first place. And the reality is, for a lot of people, the answer to the first question is no.

Coderick AI — SiteGround’s managed AI website and app builder — is relevant when the budget question isn’t “how do I deploy my Claude Code project more cheaply?” but “do I need a Claude Code project at all?” If the goal is a business website, landing page, portfolio, booking flow, dashboard, or web app, it can be a more predictable cost path than Claude Code with separate hosting, SSL, domains, backend setup, deployment, and maintenance on top. And honestly, it’s a whole lot easier.

Use Claude Code when you need codebase control

Claude Code is a developer tool. It works in the terminal and connects to Git workflows, deployment pipelines, version control, and test runners. It’s the right choice when the project needs custom architecture, third-party integrations, specific backend logic, or the ability to read and modify every line of code. Developers who already manage infrastructure can treat the production stack as a known and expected cost.

Use Coderick AI when you don’t need a code-first workflow

Coderick AI is SiteGround’s managed website and app builder. You describe what you want to build, and Coderick AI generates it. From there, publishing, hosting, SSL, version control, and updates are all handled within the platform — no separate tools, no deployment pipeline, no developer required. There are different plan tiers depending on how much you want to build, but all of them include everything you need to go live.

For founders, freelancers, marketers, and small business owners whose goal is a working website or simple web app, the total cost and time comparison matters more than the feature comparison. Coderick AI replaces the code-first workflow rather than following it — and if you’re curious how that works in practice, the process of building a web app with an AI builder is more straightforward than it sounds.

Think in total project cost, not only AI subscription cost

A fair comparison between Claude Code and a managed builder path looks like this: Claude subscription cost plus hosting plus SSL plus domain plus database plus deployment time plus ongoing maintenance. Not just the subscription price. For many non-technical users, the production stack adds more to the monthly budget than the AI subscription itself; the same cost-and-complexity question also applies when comparing OpenAI Codex alternatives for beginners.

Can you build in Claude Code and then use Coderick AI?

Coderick AI isn’t a full Claude Code project deployment platform

Coderick AI isn’t the standard path for deploying a Claude Code project. It’s not a GitHub import tool, a repository connector, or a way to hand off a full Next.js or React app from your local environment to a managed host. The two tools serve different starting points.

Some files can be used as references or starting points

Coderick AI supports uploading specific text-based file types as reference material or starting points: HTML, CSS, SCSS, JS, JSX, TSX, and Markdown. In some cases, individual files from a Claude Code workflow can be uploaded into Coderick AI as inputs for a new build. That’s not the same as importing and deploying a full project repository, though. A partial component, an HTML layout, or an artifact-style file can be a useful starting point, especially when turning a Claude Artifact into a real website, but a complete multi-file application can’t be imported as-is.

The main decision is code-first workflow vs managed workflow

The more practical question is which workflow to choose from the start, not how to connect them after the fact. If the project needs a codebase, Git history, custom backend logic, and developer-managed deployment, start with Claude Code. If it needs to be live and managed without developer overhead, start with Coderick AI. 

How can you keep building affordably with Claude Code?

Pick the right Claude plan for your actual usage

The most common Claude Code overspend comes from choosing a plan based on how you imagine you’ll use it rather than how you actually do. Pro at $20 a month is the right starting point for most individual developers doing focused daily work. Upgrading to Max 5x ($100 a month) only makes sense once you’re regularly exhausting Pro limits mid-session. Max 20x ($200 a month) earns its keep for developers using Claude Code as a full-day primary tool, where the flat rate runs cheaper than equivalent API billing.

Monitor usage before enabling more credits

Usage credits let you keep working after plan limits run out, but they add variable costs on top of your flat subscription. Before enabling them, it’s worth checking whether you’re actually hitting limits or just getting close. Turning credits on without monitoring how often they trigger can quietly push a Pro bill toward Max territory for a fraction of the capacity.

Separate experiments from production builds

Exploratory sessions, big refactors of unfamiliar codebases, and prototype builds burn more tokens per task than focused feature work. Running experimental sessions separately from production work, and being deliberate about context size and model choice during exploration, keeps the core subscription budget predictable.

Decide early whether the project needs codebase ownership

The production stack costs for a Claude Code project aren’t always obvious at the start. A developer-owned codebase means deployment infrastructure, ongoing maintenance, and update cycles. Deciding early whether the project genuinely needs source code control avoids building a code-first project and then discovering the ongoing costs of managing it weren’t in the budget.

Avoid paying for both a code-first stack and a managed stack when one path is enough

Some users end up paying for a Claude Code subscription, a hosting service, and a managed builder tool simultaneously, which is a great way to spend money on three things when one would have done the job. If one path covers the project requirements, the other is just overhead. 

A Claude Code subscription plus separate hosting makes sense for developer-controlled projects. A managed builder path makes sense for websites and simple web apps where hosting, SSL, and publishing come included. Paying for both without a clear reason usually means the project scope wasn’t defined clearly at the start.

When is Coderick AI the more affordable path?

Coderick AI may be the more affordable path when the code-first stack costs more than the project needs. Here’s when that’s usually the case.

The project is a website or simple web app

Business websites, landing pages, portfolios, booking flows, dashboards, and content-driven web apps don’t need a user-managed codebase with version control and a deployment pipeline. If you’re a small business owner, building your website with an AI website builder without writing any code may be a more natural starting point than Claude Code.

The user doesn’t need source-code ownership

Source code ownership matters when a project needs custom integrations, proprietary logic, multi-developer collaboration, or future portability. For a business website or simple web app maintained by one person, source code ownership adds cost and complexity without adding proportional value.

The user wants hosting, SSL, publishing, and updates handled together

A predictable managed website deployment bundles the production concerns that sit outside a Claude Code subscription into a single service. Hosting, SSL certificate provisioning, custom domain connection, and update management are part of the platform, not separate line items in the monthly budget.

The user wants predictable post-build costs

The ongoing cost of a Claude Code project is harder to predict than the subscription price. Maintenance, updates, and infrastructure usage all add variable costs after the initial build. A managed builder path with a fixed monthly cost is easier to plan around, particularly for non-technical users who’d otherwise pay a developer for every update cycle.

Which path is more cost-effective for your project?

Project situation	More cost-effective path	Why
You need source-code control, tests, Git, custom architecture, or manual deployment	Claude Code	You need a code-first workflow and should budget for infrastructure separately
You already have a developer or engineering workflow	Claude Code	The extra production stack is expected and controllable
You only need a business site, landing page, portfolio, booking page, dashboard, or simple web app without source-code ownership	Coderick AI	A managed all-in-one path can avoid separate tooling, hosting, and infrastructure costs
You are non-technical and mainly want the project live	Coderick AI	You avoid paying for a coding workflow you don’t plan to manage
You have a partial HTML/CSS/JS component or export	Depends	Coderick AI may use supported files as references or starting points, but it isn’t a full project importer

Ready to build without the infrastructure overhead?

If the goal is a working website or web app, not a developer-controlled codebase to maintain, Coderick AI bundles AI-assisted building, hosting, SSL, publishing, updates, and expert around-the-clock support into a single managed path. It’s not the right tool for every project. But for users who pay for a Claude Code subscription and then still need to solve hosting, deployment, and ongoing maintenance separately, it may be the more predictable and affordable place to start.

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Frequently asked questions

Claude Artifacts live on claude.ai by default. To put one on your own domain, pick a production path: Coderick AI for managed hosting, Claude Code for developer control, or manual deployment.

A Claude Artifact runs on a claude.ai URL with no way to add a custom domain, no control of SEO metadata, no place to store form submissions, and no path for ongoing edits outside Claude. Adding those things is what makes a site production-grade. 

You have three practical paths for going live: publish the artifact from Claude for demos and sharing, use Claude Code and a developer deployment workflow, or hand the artifact files and production brief to Coderick AI, which can accept the artifact’s source files directly and rebuild them as a hosted site on SiteGround’s infrastructure.

What is a Claude Artifact?

A Claude Artifact is a standalone output that Claude creates in a side panel during a conversation. It can be a small web page, React component, SVG, chart, dashboard, calculator, form, game, or interactive prototype. Artifacts are useful because you build and refine the result visually while you chat, so instead of receiving only code in the conversation, you see how the artifact looks and behaves.

Many artifacts use the same building blocks as websites: HTML, CSS, and JavaScript which live inside Claude’s environment. When you publish an artifact, it is served from Claude’s infrastructure, usually on a claude.ai URL. That is enough for a prototype, but not always enough for a public website.

That distinction is the core of the workflow: Claude helps you validate the idea, while the production path turns that idea into a website people can actually use. This is one version of the broader AI prototype to published website workflow.

Can you publish a Claude Artifact directly?

Yes. Claude includes built-in artifact publishing for sharing and demos. On Free, Pro, and Max plans, you can publish an artifact and share it via a public link. Anyone with the link can open it in a browser. On Team and Enterprise plans, artifact sharing may be limited to your organization, depending on the workspace settings.

Claude also supports embedding published artifacts into another website. When embedding, you define which domains are allowed to load the artifact. You can also unpublish the artifact later to revoke access.

Claude publishing vs. a real website

Publishing the artifact directly works well when the goal is to share, test, or demo a prototype, not launch a production website. In such cases, the artifact works like a live mockup. It proves the interaction and helps people understand the idea faster than a static screenshot.

A published artifact stops being enough when the project needs to operate as a public business asset. At that point, you are no longer asking how to share a Claude Artifact. You are asking how to turn it into a real website.

When Claude publishing is enough	When you need a real website
Sharing or demoing a prototype	Running a public business asset
A claude.ai URL works	Branded custom domain + SSL
Stakeholders or a small team	Public visitors and search traffic
Form flow just needs to look real	Forms must store or route data
You’ll re-edit it in Claude	Someone owns and maintains it long-term

How to turn a Claude Artifact into a real website

Turning a Claude Artifact into a real website is a five-step process: finalize the artifact, save its code, write a short handoff brief, choose a production path, then build, publish, and test the live site.

1. Finalize the artifact in Claude

Keep iterating until the artifact reflects the site you want to launch. Review the design, functionality, copy, and user flow, and treat the final artifact as the visual and functional source of truth for the production version.

2. Save the code and document the behavior

Open the artifact’s code view and download and save the relevant source files before starting the production handoff. Depending on the artifact, this is typically an .html file plus separate .css and .js files, or .jsx and .tsx files for React components. 

These are exactly the file types the production path can read directly, so save them individually rather than as a single screenshot or PDF.

Also take screenshots of important states, such as:

• Default view
• Mobile view
• Empty state
• Error state
• Success state
• Form validation state
• Any modal, dropdown, or multi-step interaction

Screenshots and short notes help the production tool or developer understand intended behavior that static code does not make obvious.

3. Create a production handoff brief

Write a short brief that explains what the live website needs beyond the Claude Artifact.

Include:

• Artifact purpose and target audience
• Published artifact link
• Screenshots of key screens and states
• Saved artifact code
• Page structure and navigation
• Final copy and calls to action
• Form fields and data-routing requirements
• Domain and SSL requirements
• Analytics or marketing integrations
• Launch deadline
• Ongoing maintenance owner

This step is easy to skip, but it’s what prevents the production build from making decisions that aren’t explained in the artifact. A clear handoff brief keeps production focused on building the site, not rediscovering decisions already made during prototyping.

4. Choose the right production path

Choose the production path based on who will own, update, and maintain the site after launch. 

• Use Coderick AI for a managed production handoff where the site is built, hosted, published, and edited inside one SiteGround workflow, especially if you want to build without a Claude Code workflow. 
• Use Claude Code if a developer needs to turn the artifact into a real codebase, manage it in Git, and deploy it through a technical pipeline. 
• Keep the published Claude Artifact if the goal is only to share a working prototype.

5. Build, publish, test, and maintain the live site

Once you choose a path, rebuild or import the artifact into the production environment, connect the domain, enable SSL, test the site, and define how future edits will happen. A website is not finished when it launches: it needs a clear owner, an update process, and a maintenance plan. The specific publishing and domain steps for the managed path are below.

How to hand off a Claude Artifact to Coderick AI

Instead of re-explaining your design in three paragraphs of prose, you give Coderick AI the supported artifact files, screenshots, and a short prompt and tell it where each file belongs. The sequence is:

1. In your finalized Claude Artifact, open the code view and save the source files (for example, an .html file and its .css file, or the .jsx and .tsx files for a React component).
2. In Coderick AI, drop those files directly into the chat. 
3. Prompt Coderick AI with the role each file plays: “Apply this HTML as the homepage” works far better than “use this file,” because Coderick AI needs to know where the file goes and what it does.

4. Coderick AI reads the source and rebuilds it inside your project, keeping your structure, your styles, and the specific elements you uploaded, then builds on top to add pages, wire up functionality, or extend the layout.

What Coderick AI handles after the handoff

After the handoff, Coderick AI covers the managed production layer: building the website or web app from your files and prompts, applying edits through chat, publishing and hosting on SiteGround’s infrastructure, applying SSL, creating responsive layouts, and supporting backend needs such as databases and user authentication. 

It also includes built-in version control, so you can experiment and roll back to an earlier version at any time, and the backend is auto-generated, so you never touch server-side logic unless you want to. For the user, this turns the artifact-to-website process into one guided managed workflow instead of a chain of disconnected tools.

How to publish and connect a custom domain

Publishing in Coderick AI puts your project live on SiteGround’’s hosting immediately; there is no separate hosting setup to arrange. 

To put it on a custom domain, go to Client Area > Websites > Coderick Projects, open the chosen project’s Actions menu, and select Change Primary Domain. 

Enter the new domain and confirm. 

If the domain is registered with SiteGround, it is pointed automatically. If it is registered elsewhere, point it to the SiteGround DNS records shown on that screen. 

SSL installs automatically once the domain points to SiteGround’s DNS. 

When Coderick AI is not the right path

Coderick AI is not the best fit when the project needs full source-code ownership, external infrastructure, Git branches and pull requests, or a custom CI/CD pipeline; in those cases Claude Code with a developer deployment workflow is more appropriate. Before choosing that route, factor in Claude Code pricing and deployment costs.

It may also be the wrong fit for projects that require bespoke API integrations, background jobs, or direct server-level configuration. Coderick AI is strongest when the priority is managed publishing: moving from a validated prototype to a hosted site without handling infrastructure separately. 

What to test after the artifact becomes a live website

Once the site is live, run a focused pre-launch check before sending visitors to it.

• Custom domain and SSL – Confirm the site loads on the custom domain over HTTPS, check for mixed-content warnings in the browser console, and make sure redirects are in place if the site replaces an older URL.
• Mobile layout – Open the site on a phone and tablet and check the header, navigation, hero section, forms, buttons, embedded media, and interactive elements. Mobile is where prototype-to-production issues show up first.
• Forms and database actions – Submit every form, confirm the data reaches the correct destination, and confirm the visitor sees a clear success message. If the site includes accounts, test sign-up, login, logout, and password reset.
• Page speed and accessibility – Run a basic performance check and look at Largest Contentful Paint and Cumulative Layout Shift, not only the overall score. Check that images have alt text, headings follow a logical order, links are descriptive, and the site works with a keyboard.
• Ongoing edits and maintenance – Decide who owns the site and how future edits happen. On Coderick AI, updates happen through chat; in a developer workflow, updates happen in the codebase and redeploy through the pipeline. Without an owner and update process, even a successful launch can become outdated quickly.

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Take the validated artifact into production with Coderick AI

The hardest part of taking an artifact live is not the artifact. It is everything that happens after you close the Claude tab. Coderick AI is the answer to “I’d rather not deal with the rest.”

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FAQs

Building a website with Claude Code no longer means opening a terminal. What you still need is everything that happens after the code: a host, a domain, SSL, a deploy step, and someone to keep it all running. If that list made you tired, Coderick AI skips it: describe the site you want, and it goes live on SiteGround hosting.

Can you build a website with Claude Code if you can’t code?

Yes. Claude Code no longer requires a terminal, and you can describe what you want in plain language while it writes the code. What it doesn’t come with is hosting, a domain, or a way to publish. Those are still yours to arrange.

The desktop app removes the terminal

The Claude Code desktop app swaps the command line for a graphical interface. You point it at a folder on your computer, ask for changes in plain language, and review what it did. You still end up with project files in a folder, not a website.

Claude Code on the web runs in the cloud, but needs GitHub

Claude Code on the web runs on Anthropic’s cloud infrastructure, so there’s nothing to install. The catch: it works from a GitHub repository you connect, and pushes finished work to a GitHub branch. That means a GitHub account, plus a way to get the code from GitHub onto a live site. Either way, you end up with code. Turning it into a website is where the real work starts.

When does Claude Code make sense for a website?

When Claude Code helps

Claude Code is genuinely useful when you already have a project, codebase, or a development workflow. It works inside a codebase (the full collection of source code files that make up a software project), so if there is an existing repository and a team of developers already comfortable working with code, it makes their work a lot faster and more efficient.

When Claude Code is unnecessary

Claude Code becomes unnecessary the minute you just want a live website. A landing page, a portfolio, a booking site, a small CRM, an invoice tracker, or a small business website. None of these require a codebase, much less technical knowledge, to exist. If that sounds closer to your situation, Claude Code alternatives for beginners can help you choose a simpler starting point.

When a managed website path is simpler

A managed path is simpler when the goal is the website outcome, not the development process. If the question is “how do I get a working site live today without configuring servers,” the answer is definitely a managed AI website builder. And definitely not a coding agent that expects a project folder, a deployment pipeline, and a computer science degree you never got.

What does Claude Code add to the website-building workflow?

Claude Code gives technical users precise control over the codebase and development workflow. That’s its strength. It is also, for non-technical users, the precise problem.

It works with codebases and project files

Claude Code is built to work inside projects that already have a file structure. It reads, edits, and creates files within that structure. You point it at a repository and work from there. There is no chat-to-live-site path; you start with code and end with code — you still require deployment, hosting, domains, SSL, and ongoing maintenance.

It can run commands, tests, and development tasks

Claude Code can run commands, execute test suites, and perform development tasks that would normally require manual effort. For a developer, that’s major time saved. For everyone else, it’s a lot of activity you’d struggle to check.

It fits GitHub, GitLab, and pull request workflows

Claude Code is designed to slot into professional development workflows that use version control. Branches, pull requests, commit histories — these are the natural environment for Claude Code. 

It still leaves you with launch and infrastructure decisions

Even if you’re on board with Claude Code building or modifying a codebase, the launch decisions remain. Where does the site live? Who handles hosting, DNS, SSL, and the deployment pipeline? These are essential questions to be addressed, and Claude Code doesn’t answer any of them. It hands you code, wishes you luck, and leaves the rest entirely up to you.

Why might non-technical users avoid Claude Code?

Claude Code is easier to start with than it used to be, but it’s still built around code, not websites. Here’s what stands between you and a live site if you try.

They don’t want to work inside a codebase

Every version of Claude Code works on project files, whether that’s a folder on your computer or a GitHub repository. The desktop app hides the command line, but not the code. You’re still reviewing file changes and error messages you didn’t write, one decision at a time. That’s a lot of homework for someone who just wants a portfolio site.

They don’t want to manage repositories or GitHub

In the browser, Claude Code needs a GitHub repository, and its workflow is built around branches and commits. That means setting up a GitHub account, connecting a repository, and understanding version control well enough to know what just changed. For a freelancer who wants a portfolio site, this is overhead that has nothing to do with the actual goal.

They don’t want to configure hosting, DNS, SSL, or deployment

After the code exists, it still needs to go somewhere. Configuring a hosting environment, pointing a custom domain, setting up SSL certificates, and wiring a deployment pipeline are infrastructure tasks that require technical knowledge. Claude Code doesn’t manage any of that.

They want a live website, not a developer workflow

This is the core tension. Claude Code gives you control over a development workflow. Most non-technical users don’t actually want a development workflow: they want a live website. Optimizing for control over the process is only useful when you understand the process. When the goal is a live website, the right tool is the one that gives you exactly that, and not a graduate course in deployment infrastructure.

What is the simpler path if you don’t want Claude Code?

Start with the website outcome, not the codebase

Describe what the site should do, not how to build it. The simplest path to a live website skips the technical infrastructure entirely and starts with the outcome: a plain-language description of what you need. AI website builders like Coderick AI make this possible without a repository, a framework decision, or a terminal session before the first page exists.

Claude Code works the opposite way: you start with infrastructure, and the website is what eventually comes out the other end.

Choose a managed builder instead of a coding agent

A coding agent like Claude Code is built for developers who already know what to do next. A managed website builder handles the full path in one environment (creation, structure, hosting, and publishing) so no prior technical knowledge is required to get something live.

Keep publishing, hosting, and updates in one environment

Switching between tools creates friction, costs, and headaches, especially when you factor in Claude Code pricing and deployment costs. Building in one place, then exporting to a hosting provider, then configuring deployment is a multi-step process that requires understanding each layer. A managed environment where building and hosting are the same product removes that friction entirely (and often saves you costs in the process).

How does Coderick AI replace the technical setup around Claude Code?

Coderick AI is SiteGround’s AI website and web app builder, with no coding required. Here’s what that looks like in practice.

Already designed it in Claude Design or Google Stitch? Import it

If you’ve already designed your site in Claude Design or Google Stitch, you don’t have to start over. Export the design as a ZIP or HTML file, upload it when you start a new Coderick AI project, and adjust the pre-filled prompt to describe how it should work. Coderick AI builds a working website or web app from the design, hosted and ready to publish.

Describe the website or app instead of opening a code project

The starting point in Coderick AI is a plain-language description. The more detail you bring upfront, the stronger the first build, but you can start with something as simple as “a booking site for a vet clinic with an appointment form and a services page” and refine from there. Coderick AI interprets the intent, generates the user interface, creates the backend logic, and handles the technical work in the background. No repository, no terminal session, no framework decision required.

Coderick AI also accepts visual references, screenshots, and supported files as starting material. If you already have a design mocked up elsewhere, you can bring it straight in. If you designed something in Google Stitch, you can turn that Google Stitch design into a real website using Coderick AI. The same applies if you worked up something in Claude’s design tools. You can turn a Claude Design project into a website, or even a Claude artifact into a website using Coderick AI, all without starting from scratch. From there, you shape the project into something suited to your needs, all through the same chat interface.

Build structure, pages, forms, and simple functionality through prompts

Once the initial build is generated, changes happen through the same conversation. Add a page, adjust the layout, add a contact form, and change the navigation structure by using natural language prompts. The platform supports a wide range of use cases: business websites, portfolios, landing pages, internal tools, simple CRMs, booking systems, invoice trackers, and task planners. 

Users can also import existing code files (including .js, .jsx, .ts, .tsx, .html, .css, .scss, and .md) to bring existing work into a Coderick AI project. That makes Coderick AI useful for users who already have files from other prototyping tools and want to take them live without setting up infrastructure separately, including cases where the goal is to turn a Claude Artifact into a real website.

Publish without setting up a separate hosting workflow

When a project is ready, hitting Publish deploys it instantly to SiteGround’s hosting infrastructure. No domain configuration to manage. No hosting environment to configure. No deployment pipeline to set up. The site goes live on the same infrastructure that powers millions of SiteGround-hosted websites, and with built-in caching and a free CDN included.

Every Coderick AI project ships with hosting, SSL, version control, user authentication, and automatic deployment included. These are not add-ons. They are part of the product from the first build. For what that actually saves versus assembling the pieces yourself, see how to compare AI website builder pricing without getting burned.

Manage updates without editing a repository manually

Post-launch updates work the same way as the initial build: describe the change in chat and Coderick AI applies it. There is no need to check out a branch, edit files locally, push to a repository, or trigger a deployment. The managed environment handles the full update cycle ( building, versioning, and redeploying) so the workflow stays the same whether you are making the first page or the fifteenth update.

What do you avoid by using Coderick AI instead of Claude Code?

Every item below is a step that Claude Code requires and Coderick AI removes entirely. The same logic applies if you want to build a website without OpenAI Codex and avoid a coding-agent workflow altogether.

No installation or project setup

Coderick AI runs in your browser. Sign in with your SiteGround account, describe the project, and start building. There’s nothing to install, no folder to point it at, and no repository to connect before the first page exists.

No GitHub repository required for a simple site

Coderick AI has built-in version control. There’s no need to set up GitHub, initialize a repository, or manage commits manually. For users who want a business site, a portfolio, or a landing page, a GitHub repository is an unnecessary layer of complexity that Coderick AI removes by default.

No manual deployment pipeline

Deployment in Coderick AI is automatic. There is no build step to trigger, no automated pipeline to configure, and no server to target. Publishing is a single action.

No separate hosting or SSL setup

Hosting, SSL, and DNS are part of the Coderick AI managed environment. There’s no separate hosting account to provision, no SSL certificate to install, and no DNS record to configure for the initial launch. Custom domains are supported (users can connect a custom domain to a Coderick AI project through their account) but the base configuration requires no manual infrastructure work.

Less post-launch maintenance complexity

After launch, updates go through the same prompt-based workflow as the build. There are no server patches to apply, no deployment scripts to maintain, and no hosting configuration to revisit for routine content changes. The managed environment absorbs the operational complexity that would otherwise fall on the site owner.

When should you still choose Claude Code?

Claude Code is the right tool in a specific set of circumstances. Those circumstances generally involve existing codebases, engineering teams, or the need for precise technical control.

You need source-code control

If reviewing every code change, managing branches, and maintaining a full commit history is important to the project, Claude Code fits into that workflow. It’s built for teams that treat version control as a core part of how work gets reviewed and approved.

You already have a codebase or engineering team

Claude Code’s most natural home is an existing project. If there is already a codebase in a repository and a team working inside it, Claude Code adds speed to the work that team already does. For a non-technical user starting from nothing, that advantage is not relevant.

You need custom integrations or advanced architecture

Complex backend requirements, custom API integrations, non-standard data architecture, multi-service dependencies — these are cases where direct control over the codebase matters. Claude Code is suited to those requirements. Coderick AI is built for a different scope: functional websites and web apps that don’t require custom engineering depth or full source-code ownership.

You want GitHub, tests, pull requests, and manual deployment control

If the workflow involves pull request reviews, automated test runs, and manual deployment approval, Claude Code belongs in that pipeline. These are professional development workflows, and Claude Code is designed for them. They are not requirements for most small business websites, portfolios, landing pages, or internal tools.

Is Coderick AI the right path to build a website without  Claude Code?

For most non-technical users, yes — especially when the project does not need a developer-controlled codebase. The table below maps the most common situations to the most appropriate tool.

User situation	Better path	Why
You want a live site without working in a codebase	Coderick AI	The workflow starts from the website or app outcome, not files and commands
You do not want GitHub, repositories, or deployment pipelines	Coderick AI	The managed path removes technical setup
You need hosting, SSL, and publishing handled together	Coderick AI	SiteGround’s Coderick AI includes hosting, SSL, version control, and publishing as part of the builder experience
You already have a codebase and want to modify it	Claude Code	Claude Code is built for working inside existing projects

Skip Claude Code. Launch your website instead. 

For users starting from scratch, the path is simpler than you might expect. Describe what you need, build it through conversation, and publish it in a single step.If you’re new to SiteGround, your first Coderick AI Essential plan starts with a 14-day free period, so you can build and launch your site before your first payment. The repository, the hosting, the deployment pipeline: none of it is your problem. Build a website without Claude Code using Coderick AI and spend your time on the business, not the infrastructure.

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Frequently asked questions

This article was originally published in June of 2026 and then updated in October of 2026.

To turn a Claude Design project into a real website, finalize the design in Claude Design, document the design intent, and then choose a production path.

Developers can use Claude Design’s native handoff to Claude Code. Non-technical users can use Coderick AI as the managed production path after Claude Design. Coderick AI handles the full launch — hosting, SSL, custom domains, and deployment — without any manual setup. 

What is Claude Design?

Claude Design is a research-preview workspace from Anthropic Labs where each design project lives on its own canvas. You describe what you want, Claude generates a visual version, and you refine it through chat, inline comments, direct edits, and layout sliders: all in the same place, without starting over.

Released on April 17, 2026, it runs on Claude Opus 4.7 and is available to Claude Pro, Max, Team, and Enterprise subscribers. Unlike most AI tools that respond to prompts with text, code, or images that disappear into the chat, Claude Design keeps your work in a persistent, shareable project that can be reviewed, refined, exported, or handed off.

What you can create in Claude Design

In Claude Design, you can create:

• Interactive prototypes
• Product wireframes, mockups, and website concepts
• Design explorations
• Pitch decks and presentations
• One-pagers, visual concepts, and presentation-style assets

During onboarding, Claude reads your codebase and existing design files and generates a design system (colors, typography, and component patterns) that carries through every project automatically.

How Claude Design supports design iteration and sharing

Iteration happens through two inputs:

• Chat for broad changes to layout, color scheme, or structure
• Inline comments for targeted edits to specific elements on the canvas

You can pin comments across multiple elements and send them as a single batch. Claude resolves everything in one turn.

Sharing is organization-scoped with three permission levels:

• Private: visible only to you
• View-only link: anyone in your organization with the link can see it
• Edit access: collaborators can modify the design and chat with Claude together

Not every project needs to start in Claude Design. If you already know what you want to build and you are ready to go live, you can skip the design step entirely and start directly in Coderick AI. Claude Design earns its place when the visual direction needs validation before production; not every project does.

Why a Claude Design project is not the same as a live website

Claude Design can export to an internal URL, a .zip folder, Canva, PDF, PPTX, or standalone HTML, but none of those outputs are a live website. A Claude Design project has no hosting, no custom domain, no SSL certificate, no backend, and no deployment pipeline. It shows what a website should look like and how it should behave. It does not run as one.

Can a Claude Design project become a real website?

Yes. A Claude Design project can become a real website after the design intent, page structure, copy, user flow, and production requirements are documented.

Claude Design is built for the work that happens before production: aligning on layout and visual direction, testing user flow through an interactive prototype, presenting a concept to a client or stakeholder, and documenting design intent before handoff. When those things are done, its job is done.

Moving the design into production means translating the approved Claude Design project into a working site. The design intent, page structure, copy, and user flow carry over, but the prototype does not. This is one version of the broader AI prototype to published website process.

A production website needs hosting, an SSL certificate, a custom domain name, a deployment pipeline, and a system for ongoing updates. None of that exists inside Claude Design. It belongs to whoever owns the production path.

How to create a Claude Design

Claude Design works best when your prompt is specific. Open Claude.ai, click the palette icon in the left-hand navigation, and start a new project. The more detail you give upfront, like a visual direction, page structure, copy intent, and user flow, the closer the first output is to what you actually want. 

Here’s an example of a well-structured starting point:

And here’s the first result that Claude Design gives you:

This is a starting point, not a finished design. Claude Design is iterative and the first output gives you something to react to, and you refine from there through chat and inline comments. When the design looks right and the user flow works, that is when the production path begins.

How do you turn a Claude Design project into a real website?

To turn a Claude Design project into a real website, follow these five steps.

Step 1: Finalize the Claude Design project

Finish all design iterations before the production build starts. Approve the layout, visual direction, page structure, and user flow. Confirm that the design intent is documented and that stakeholders have reviewed the interactive prototype. Changes cost more to fix in a production build than in Claude Design.

Before handing off, confirm five things are true:

Checkpoint	What it means
Design direction is approved	Stakeholders have signed off. No major changes expected.
Design intent is documented	Layout decisions, component choices, and interaction patterns are captured in writing.
Page structure and content are clear	Every page, heading, call to action, and form field is defined.
Interactive prototype has been reviewed	Navigation, form interactions, and state changes have been tested.
Production requirements are known	Hosting, domain, backend needs, and the production path are decided.

Anything unresolved here gets decided by the builder, not the designer, which can create mismatches between the approved design and the live website.

Our original prompt covers the visual direction and homepage structure well, but it leaves three gaps: the inner pages (Services, About, Portfolio) are underspecified, the interactive prototype is requested but never reviewed against a defined user flow, and there is no production handoff summary to document design intent for production. 

Once you have reviewed the first output, use the production readiness checklist above to identify what is still missing. 

Here are the additions that turn the initial prompt into a complete handoff-ready brief:

Step 2: Choose your production path

Three production paths are available. Claude Design stays as the source of design intent, while Claude Code, Coderick AI, or a developer turns that intent into a live website.

Path	Best for	What happens next
Coderick AI	Non-technical users, founders, marketers, freelancers, and small teams that want a managed launch path	Use the finished Claude Design project as a production brief and build/publish the live site in a managed environment
Claude Code	Technical users and teams that want codebase control	Use Claude Design’s handoff bundle or export files to move the design into a developer-controlled build
Developer or agency	Projects needing custom engineering, integrations, complex backend logic, or strict QA	Hand off the design intent, export files, user flows, and requirements for a manual production build

Claude Design has a native handoff to Claude Code, but not every user wants a developer-controlled workflow. Users who find that path too technical can explore Claude Code alternatives for beginners. If the project doesn’t require codebase ownership, a managed path can help users build without Claude Code while still moving the approved design toward a live site.

Step 3: Export or document the design intent

Export the project in the format that fits your chosen path.

If you chose Claude Code:

When a design is ready to build, Claude Design packages the project into a handoff bundle that can be passed to Claude Code with a single instruction — design to production code, inside Anthropic’s ecosystem. The handoff bundle packages the design intent, layout structure, and component context into a format Claude Code can read and act on.

Send the project to Claude Code when:

• The design is approved and the page structure is clear
• The team wants to own the source code and manage a Git repository
• The build requires tests, custom deployments, or developer-controlled infrastructure

If the team is not using Claude Code directly, use the export that fits:

Export format	Best for
HTML bundle	Developer working outside Claude Code
PPTX or PDF	Client proposals, presentations, review documents
Shareable link	Internal stakeholder review and approval

If you chose Coderick AI:

The Claude Design project does not import directly into Coderick AI, but it does not need to. The validated design is the production brief. Export the project as a PDF, PPTX, or standalone HTML and upload it alongside your brief.

Coderick AI also accepts existing code files (.js, .jsx, .ts, .tsx, .html, .css, .scss, and .md) so any existing code or content comes with you too. The validated design becomes the production brief: describe the page structure, design intent, copy, user flow, functionality, domain requirements, and update needs, and Coderick AI builds from there.

Below is your everything-you-could-possibly-need list, not a homework assignment. If you are uploading an HTML export or code files from Claude Design, a good chunk is already covered. Focus on what the files cannot tell Coderick AI: your copy, user flow, forms, backend needs, domain, and how you plan to keep the site updated.

Use this as your reference and fill in what applies to your project:

Field	What to include
Claude Design project reference	Direct link to the finished project, or exported files if sharing externally
Exported files	Screenshots, (.png, .jpg, .jpeg, .gif, .webp) or HTML export of each page. Coderick AI accepts .js, .jsx, .ts, .tsx, .html, .css, .scss, and .md files — upload any existing code or content alongside the visual reference.
Goal of the website	What the site needs to achieve and for whom
Target audience	Who will use the site and what they are trying to do
Pages needed	Full list of pages with purpose and priority
Design intent	Describe in your prompt: the visual direction, tone, and layout logic behind the approved design
Brand colors and typography	Exact hex codes, font names, sizes, and weight rules
Component behavior and visual states	Buttons, cards, navigation, headers, footers — how they should look and behave
Final copy	All headlines, body text, CTAs, labels, and microcopy — ready to use
Calls to action	Exact CTA text, placement, and destination for each page
User flow	The path from landing to conversion, with any branching or conditional steps
Forms	Fields, validation rules, and where form submissions should go
Backend/database needs	Any data that needs to be stored, retrieved, or managed
Authentication needs	Login, sign-up, roles, or access control requirements
SEO title and meta description	Per-page SEO metadata, ready to paste
Custom domain	The domain to connect after publishing
Launch requirements	Any staging, review, or approval steps before going live
Ongoing update and maintenance expectations	How often the site will be updated and by whom

The more specific the brief, the closer the first build is to the approved design.

With this checklist in mind, here are the fields the original Claude Design prompt does not cover — and what to add to your Coderick AI brief before you start the build:

And this is what Coderick AI builds: not a prototype, not a design file, but a working website on live infrastructure with hosting, SSL, and a custom domain ready to connect.

If you chose a developer or agency:

Hand off the exported files, design intent notes, page structure, user flow, and production requirements. Use the PPTX, PDF, or HTML export from Claude Design as the visual reference, and document anything that is not visible in the export — interaction logic, backend requirements, authentication needs, and launch criteria.

Step 4: Build, publish, and maintain the live website

Build from the approved design using the chosen path. With Coderick AI, publishing is one click: hosting, SSL, and deployment are included, and ongoing updates happen through the same chat interface. With Claude Code or a developer, hosting, SSL, and deployment need to be configured separately after the build is complete.

How can Coderick AI turn a Claude Design project into a managed website?

Once the brief is ready (design intent, page structure, copy, user flow, and functionality notes documented), Coderick AI takes it from there. This is the managed production path after Claude Design for building, publishing, hosting, and updating the live website, without a developer-controlled workflow.

Start with a full project description, then refine by section

Start with a framing prompt before sharing any files: something like “I am starting a new website project and will be sharing a Claude Design brief and files.” This prevents Coderick AI from building before your full brief is in. Then share everything together: the design intent, page structure, copy, user flow, functionality notes, and any exported files or screenshots from Claude Design.

Build and refine the website inside Coderick AI

Building with Coderick AI works the same way as the Claude Design iteration process: describe what you want, review the output, and refine through chat. You can adjust layout, update copy, add pages, and change functionality without leaving the platform. 

Coderick AI is suitable for business websites, landing pages, portfolios, booking systems, membership areas, CRMs, dashboards, and internal tools. It also accepts existing files like .js, .jsx, .ts, .tsx, .html, .css, .scss, and .md, so you can bring in any existing code or content alongside the Claude Design brief.

Publish and update the site in a managed environment

When the build is ready, Coderick AI publishes it to SiteGround’s infrastructure with hosting, SSL, and automatic deployment included. That makes it a managed path without Claude Code for users who want the approved design to become a live site without handling infrastructure separately. Connect a custom domain, and the site is live. Ongoing updates, such as new pages, content edits, or feature additions, all happen through the same chat interface, without touching a codebase or logging into a separate hosting control panel.

What should you test after the Claude Design project becomes a live website?

Testing after a Claude Design to production build is not a generic hosting checklist; it is a design-to-production QA pass. The goal is to confirm the live site matches the approved design and functions correctly for real users.

Visual match to the approved Claude Design project

Compare the live site against the approved Claude Design project page by page. Check that layout, spacing, typography, colors, and component styles match the design intent. Visual drift is common during production builds — catch it before users do.

Responsive behavior on mobile, tablet, and desktop

Test every page at three breakpoints: mobile, tablet, and desktop. Check that layouts reflow correctly, touch targets are large enough, navigation works on small screens, and no content is clipped or hidden unintentionally.

Navigation, forms, and interactive states

Test every navigation path in the site. Submit every form and confirm it reaches its destination. Check hover states, focus states, error states, and empty states. Interactive elements that work in the Claude Design prototype need to work the same way in the live build.

Accessibility, contrast, and readable typography

Check color contrast ratios against WCAG AA minimums. Confirm all images have alt text. Test the site with keyboard navigation. Verify that font sizes are readable at every breakpoint and that line lengths do not make body text hard to scan.

Page speed, image optimization, and layout stability

Run a Lighthouse or PageSpeed Insights audit on key pages. Check that images are compressed and served in modern formats (which is done automatically with Coderick AI). Confirm there is no layout shift on load — elements jumping as the page renders hurt both user experience and Core Web Vitals scores.

Custom domain, SSL, metadata, and indexability

Confirm the custom domain resolves correctly, and SSL is active. Check that every page has a unique title tag and meta description. Verify the site is not accidentally set to noindex.

Test that canonical URLs are correct and the sitemap is accessible. Before launch, also confirm the update workflow: in Coderick AI, test that chat-based edits apply correctly; for Claude Code or developer builds, confirm the staging environment is in place and the deployment process is documented.

Related workflows: Claude Artifact and Google Stitch

This article covers the Claude Design workflow: from a finished Claude Design project to a live website via Claude Code or Coderick AI. Two other starting points lead to similar production questions but follow different paths.

Use the Claude Artifact workflow for interactive Claude prototypes

If the starting point is a Claude Artifact — an interactive component, tool, or prototype built inside Claude — the production path is different. See the Claude Artifact production workflow for how to move from an artifact to a live build.

Use the Google Stitch workflow for UI design screens

If the starting point is Google Stitch (Figma-style UI screens and components), as opposed to Claude Design, the design handoff and production requirements are a bit different. See the Google Stitch design workflow for that path.

Ready to take your Claude Design project live?

A Claude Design project gets the hardest part done — the visual direction, the page structure, the user flow, and the stakeholder sign-off. What comes next is a production decision, not a design one.

Most founders, freelancers, and small teams do not need a codebase. They need a live website. If that sounds like you, take the Claude Design project you just validated and bring it straight into Coderick AI.

Your design work is done. The infrastructure is handled. All that is left is the build. If you do need codebase control, the Claude Code handoff is there for you. But chances are, it’s not your next step; Coderick AI is.

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FAQs about turning Claude Design projects into real websites

Google Stitch can produce stunning UI designs for web and mobile apps in minutes. It has the pages, the layouts, the buttons, the copy. But Google Stitch design is not the same as a published website. Getting to a live website requires a proper production path: hosting, a domain, backend logic, and a way to turn your approved web design into something people can actually visit. 

Now, that path looks different depending on your project, your technical comfort, and who will manage the site after launch. So here is everything you need to know to choose the right way and make it happen.

What is Google Stitch, and how does it help create website designs?

Google Stitch is a free AI-powered UI design tool from Google Labs that turns text prompts, sketches, uploaded images, and wireframes into high-fidelity interface designs and front-end code. It launched at Google I/O in May 2025 and got a serious upgrade in March 2026, adding multi-screen generation, an infinite design canvas, and voice input.

Built on Google’s Gemini models and available through Google Labs, its party trick is speed. Describe what you need and Stitch gets to work immediately, generating several complete UI directions from a single prompt in minutes. The kind of output that used to take a designer days now takes seconds.

Its speed and skill makes it a very handy tool for founders, product managers, small businesses, and designers who need to move from a rough concept to a usable visual reference without spending days (or heaps of money) on manual design work. 

But getting from a Stitch design to a live website requires more than a magic wand, and that’s what we’re tackling here.

What can you create with Google Stitch?

Stitch generates designs and user interfaces for web and mobile apps. Typical outputs include:

• Landing pages
• Dashboards
• Onboarding screens
• Product detail layouts
• Multi-step forms

As of March 2026, Stitch also supports multi-screen projects, so you can map out a full user flow across several connected screens in a single canvas.

Notice that what we are talking about here are designs, not finished production websites. Stitch is also specifically a UI design tool. It is built for digital interfaces, not broader design work, so it does not produce:

• Marketing materials
• Presentations
• Social graphics
• Print assets

At the end of the day, its focus is UI design for digital products, and not a full production layer. Rest assured, we’ll get to the final deliverable part in a moment. 

How Google Stitch turns prompts into high-fidelity UI concepts

Stitch interprets natural language, uploaded sketches, images, and voice input as UI instructions, generating one or more visual variants with underlying HTML, CSS, and Tailwind code. The output is not a static mockup. It is a refinable, exportable design that can be connected across screens and previewed as an interactive flow.

Why a Google Stitch design still needs a production website workflow

Google Stitch generates the visual UI and front-end design, not a complete production website. The front-end code output covers layout and styling, but Stitch doesn’t handle hosting, SSL, custom domain setup, backend logic, authentication, database connections, or ongoing maintenance. All things that are absolutely essential for taking the Google Stitch output from idea to actual functioning product.

A Google Stitch design is the blueprint, not the keys to the house. Getting from one to the other requires a separate production path.

Can a Google Stitch design become a real website?

A Google Stitch design can become a real website once the UI direction, page structure, copy, and functionality requirements are documented and handed off to a production path. Before the design is ready for that, it may be useful for stakeholder sign-off, user testing, or internal alignment. But once the screens are approved, the work shifts from design validation to website production. This is one version of the broader AI prototype to published website process.

What changes when a design becomes a production website

A production website is not just a rendered version of the Google Stitch design. To actually work, it needs routing and navigation logic, server-side or client-side rendering, image optimization, form handling, SEO metadata, accessibility compliance, performance configuration, and connection to any backend services the product needs.

Each of these elements requires decisions and setup that go beyond what any UI design tool provides. That is why they are outside Google Stitch’s scope.

Why hosting, SSL, domains, and updates are still needed

A live website has to be served from somewhere, encrypted in transit, and reachable at a domain name people can type or click. It also needs to be updated when content changes, security patches are released, or new features are added. It is an ongoing process, not a one-off deliverable.

These are infrastructure requirements, not design requirements. Google Stitch does not address them. But your production path does.

How do you start a Google Stitch project?

You can jump straight into prompting in Google Stitch and get impressive results. But if you are planning to hand the project off to a developer or an AI builder, starting with a Project PRD will make the design and production handoff more accurate.

PRD stands for Product Requirements Document. It is the strategic foundation of the project: the “what” and the “why” before any screen design begins. To generate one, describe your project to Stitch and explicitly ask: “Create a project PRD for this site.” You do not need a polished brief ready. A brain dump of the key points is enough for Stitch to organize into a structured document.

What to give Stitch to generate a strong PRD

To produce a useful PRD, Stitch looks for four things:

• The “Why” — vision and goals: What is the primary purpose of the site? Who is it for? A sentence or two on the goal and the target audience gives Stitch the context to make smart design decisions throughout the project.
• The “What” — pages and features: Which pages does the site need? Are there specific interactive elements like filters, subscription signups, or a cart drawer? A rough list is enough.
• The “Vibe” — brand and visual style: A few keywords go a long way. “Artisanal Radical,” “Clean and Corporate,” “Gritty and Brutalist.” Include how the brand should speak as well as how it should look.
• Constraints and success metrics: Are there things you absolutely do not want? Assets that must be used? And how will you know the project is successful?

The PRD comes before the design

The sequence in a Google Stitch project runs in a specific order: PRD first, design second, handoff brief last. The PRD sets the vision. The design executes it visually. The handoff brief translates that visual execution into technical specifications a builder can follow precisely. Together, the three things give a production build everything it needs: the soul of the project, the look of it, and the exact specs to recreate it accurately.

When is a Google Stitch design ready for a website build?

The PRD is in place and the design work is done. Now comes the gate check: confirming the visual layer is complete and the operational requirements are documented before anything moves to production. If you’re new to this process, an AI website builder checklist can help frame what to expect.

Confirm in Google Stitch before handing off:

• Final screen designs approved
• Desktop and mobile layout direction confirmed
• Full page list defined
• Navigation bar structure and user flow mapped
• Typography, colors, and spacing locked
• Component states and interactions visible in the design

Add before the build starts:

• Copy and calls to action with confirmed destinations
• Form fields, types, and validation requirements
• Button actions and link destinations
• Login or authentication needs
• Backend or database needs
• SEO title and meta description for each page
• Custom domain requirements confirmed

The final screens and layout direction are approved

Approved means signed off, not just finished. Review every Stitch screen against the original brief and confirm that the layout direction, visual hierarchy, and component arrangement are intentional decisions, not defaults the AI picked. If anything looks off, refine it in Stitch now. Changes requested after the build starts cost significantly more time than ones caught here.

The page structure and navigation are clear

Use Google Stitch to map every page that will exist on the live site, not just the ones with fully designed screens. Secondary pages, 404 error pages, and utility pages are easy to overlook in a design canvas but create gaps in the build if they are not listed. Confirm the website navigation structure reflects the full page list before the handoff, including any pages that exist in the user flow but were not explicitly designed in Stitch.

The mobile and desktop layouts are documented

Stitch supports both viewport sizes, so use it to confirm responsive behavior before the handoff. If a screen was only designed at desktop, generate the mobile version in Stitch and review it. Check that column stacking, navigation behavior, and image scaling are all visible in the mobile web design before it leaves Stitch. Responsive decisions made at the design stage are faster and cheaper to implement than ones made mid-build.

Define typography, colors, and spacing in Google Stitch

Before moving on, confirm that your branding basics are defined, documented, and consistent across every screen. Use Stitch to lock the type scale, color palette, and design system, and check that these decisions are applied consistently across every page. The goal is not just visual consistency inside Stitch but a clear enough record that the next step can apply them accurately without guessing. 

The copy, calls to action, and content blocks are placed

Use Stitch to place final copy directly in the design before the handoff. Placeholder text creates layout assumptions that break when real content is added. If the copy is not ready, use realistic placeholder text that matches the intended length and tone rather than generic lorem ipsum. Calls to action need confirmed destinations before the build starts.

The buttons, forms, menus, and interaction states are defined

Use Stitch to confirm what each interactive element looks like before the handoff, and it will create a UI Kit for you with all the necessary details. A primary button needs a default state, a hover state, and a disabled state. A form needs visible field labels and an error state. A navigation menu needs both its open and closed positions designed. Note any states Stitch did not render as items the builder will need to define.

How do you turn Google Stitch screens into a website build brief?

With the design confirmed, the next step is packaging everything into a brief a builder can act on. The Stitch handoff gives you the visual and structural layer. Your job now is to add the operational layer on top of it.

Generate the handoff brief from Google Stitch

Ask Stitch to produce a handoff brief directly from the design. The brief captures the visual and structural layer: colors, typography, spacing, page list, layout notes, component states, and responsive behavior.

Think of it as the bookend to the PRD. The PRD defined the vision at the start. The handoff brief captures the technical execution at the end. Together they form the complete production package.

What the handoff brief does not cover are the operational requirements: form behavior, button destinations, backend needs, SEO metadata, and domain setup. Those get added in the steps that follow.

Save the final Google Stitch project screens and visual references

With the handoff brief generated, export and organize everything from the Stitch canvas. Stitch allows you to download the full project as a zip file, or export to a specific format such as Figma, HTML/CSS, or DESIGN.md depending on your production path. To export, just select all the files on your canvas, click Export, and choose your export delivery preference.

The goal is a single organized package containing three things: the Project PRD, the handoff brief, and all visual references. Together these give a production build the vision, the technical specs, and the visual reference it needs to execute accurately.

List form fields, button actions, menus, and interaction notes

While designing in Stitch, these elements are already shaping the layout. This step is about making them explicit. Go through every interactive element and define its behavior: field labels, validation rules, and submission destinations for forms; confirmed destinations for buttons and calls to action; dropdown and mobile behavior for menus. Keep this as a simple written list, specific enough that the builder does not have to make assumptions.

Define backend, database, and login requirements

Some websites are purely informational and need no backend. Others need functionality that runs behind the scenes: user accounts, a database, or a connection to an external service like a payment processor, email marketing, or CRM. Google Stitch can design the screens for all of these, but designing a screen and building what happens behind it are two different things. Before the build starts, identify whether your site needs any of this and be specific. The builder will use that requirement to configure the right functionality.

Add SEO metadata and launch requirements

SEO and domain requirements should already be taking shape during the design process. This step makes them explicit. Write an SEO title tag and meta description for each page, and make sure to follow an SEO checklist. Note any redirect rules or canonical tags, and include any staging needs or launch date constraints the builder needs to plan around.

Now you have everything needed to hand the project to whichever production path you have chosen.

How can Coderick AI turn a Google Stitch design direction into a live website?

Coderick AI is a managed website and web app builder from SiteGround that fits naturally after the Google Stitch design is approved. Stitch defines the interface. Coderick AI turns that direction into a live website or web app that can be built, edited, published, hosted, and updated within a single managed environment, with version control, user authentication, and automatic deployment included in every project.

The workflow for taking a Google Stitch design into Coderick AI follows five steps — a process that fits squarely within what the industry now calls vibe coding.

1. Use the Google Stitch design as the visual blueprint

Coderick AI accepts both text prompts and image uploads, so the exported Stitch files can go directly into the build prompt alongside the additional details you have defined above.

Start with a framing prompt before uploading anything: something like “I am starting a new website project and will be sharing some design files.” This prevents Coderick AI from starting to build before your full package is in. After it takes you to the next screen, upload everything together: the Project PRD, the handoff brief, the operational requirements, and the exported screen images.

The more complete this package is, the more accurately the build will reflect the approved design direction.

2. Recreate the page structure and layout inside Coderick AI

From there, review and refine one page at a time. For simpler sites, the full brief in a single, plain-language prompt is likely enough. For larger builds, focusing the prompt on one page at a time may produce more accurate results. Either way, use the approved Stitch screens as the benchmark for each page before moving to the next.

3. Refine copy, forms, backend needs, and functionality notes

With the visual structure in place, work through the Coderick AI chat to confirm the operational layer matches the brief. Check that form fields, validation rules, and submission destinations are implemented correctly. Verify that copy reads as intended in context, button actions work as specified, and any backend requirements like user authentication or database connections are configured correctly. 

4. Publish the website through Coderick AI’s managed environment

Publishing from Coderick AI means the site is live on SiteGround infrastructure immediately, without manual deployment steps. SSL is included. A custom domain can be connected from within the platform. The published site is production-ready from the moment it goes live.

5. Update the site without managing deployment manually

After launch, all changes go through the Coderick AI chat interface. Describe the update: a new content block, a revised form, a layout change, a new page. Coderick AI applies it and deploys automatically.

What should a handoff from a Google Stitch project to Coderick AI include?

The five-step workflow above is only as good as the material you bring into it. The brief-building section covers the universal layer: screens, layout notes, typography, colors, page structure, navigation, forms, backend needs, and SEO metadata. What follows are the additional details specific to handing off to Coderick AI.

Custom domain and publishing requirements

Confirm the domain name that will be connected to the live site and note any redirect requirements. If you don’t have a domain yet, don’t worry: you can register one through SiteGround as part of the process. Once your domain is ready, connecting it to your live site is straightforward, as hosting and SSL are included automatically with Coderick AI, with no extra cost or manual setup needed.

Imagery, icons, and visual assets

Stitch generates placeholder imagery and reference images to support the layout. When writing your Coderick AI prompt, include any brand guidelines, visual style references, photography direction, or icon and illustration preferences. 

For the images themselves, the most practical approach is to let Coderick AI generate a first version, then refine from there using Visual Edit, where you can swap in your own images or generate new ones directly in the preview in seconds. Worth noting: uploading your own images via Visual Edit is free, while generating new AI images uses credits.

Maintenance and update expectations

Coderick AI handles deployment and hosting automatically, so updates after launch are straightforward. Changes go through the interactive chat interface and deploy without manual steps. Before launch, decide internally who will be responsible for requesting changes and how frequently the site will need to be updated. Having that process in place avoids ad hoc edits that create inconsistencies over time.

Should you use Coderick AI, Claude Code, or a developer after Google Stitch?

The right production path depends on the level of technical control needed, the complexity of the build, and who will manage the site after launch. All three paths can produce a live website from a Google Stitch design. But they differ in how much manual setup, code access, and ongoing maintenance responsibility each one requires.

Path after Google Stitch	Best for	What happens after Google Stitch
Coderick AI	Non-technical users, founders, marketers, freelancers, and small teams who want a managed launch path	Use the approved Stitch design, screenshots, copy, page and layout structure, and functionality notes as the blueprint for building and publishing the live website in a managed environment
Claude Code	Technical users who want to turn the Stitch design direction into a working codebase	Use the Stitch design as a visual reference, then use Claude Code to help build, edit, debug, and prepare the project for deployment
Developer or agency	Projects that need custom engineering, complex integrations, advanced backend logic, or strict design QA	Hand off the Stitch design, layout notes, user flows, and technical requirements so the developer can build, deploy, and maintain the production version
Stay in Google Stitch	Early-stage ideas where the UI direction is not yet approved	Keep refining screens, layout, visual hierarchy, and user flow before moving into production

Let’s break this down.

Use Coderick AI when you want managed website publishing

Coderick AI is the right choice when you want a managed publishing path from an approved Google Stitch design to a live website without handling hosting, SSL, domain configuration, backend setup, deployment pipelines, or maintenance tasks manually. It fits founders, marketers, and small teams building everything from simple landing pages to web apps for small businesses, internal tools, and dashboards.

Use Claude Code when you want to turn the design into a codebase

Claude Code is a command-line coding assistant that helps you write, edit, and debug code. Use the Stitch design as a visual reference and describe the screens, components, and interactions to Claude Code to generate the underlying codebase.

The end result is a codebase you own and can edit freely. It is not a live website. Deployment, hosting, SSL, and domain setup are handled separately through whichever hosting provider you choose.

This path suits technical users who want full code control, custom integrations, or a specific deployment setup. By contrast, Coderick AI supports a website build without Claude Code for users who want the design published through a managed platform.

Use a developer when the build needs custom engineering

Some projects need capabilities that go beyond what any AI builder provides: proprietary APIs, complex data models, enterprise authentication systems, or performance requirements that need hand-tuned infrastructure. For those projects, hand the Stitch design, layout notes, user flows, and technical spec to a developer or agency.

This path gives you the most control. It also gives you the longest timeline and the largest invoice. Development costs are significantly higher upfront, and ongoing changes (even small ones like updating copy or adding a new section) typically require going back to the developer. For projects that need frequent updates or evolving content, factor that dependency into the decision before committing to a custom build.

The Stitch design still serves as the visual brief. The developer translates it into a custom production build.

Keep Google Stitch as the source of visual direction

Regardless of which production path you choose, the approved Google Stitch design remains the visual reference throughout the build. Use it to check layout accuracy, review responsive behavior, and validate that the production site reflects the intended design direction.

What should you check when the Google Stitch design becomes a live website?

Once the production build is live, check it against the approved Stitch design and the functional requirements defined in the handoff brief. A thorough review before you point traffic at a new site catches problems that are much cheaper to fix at this stage than after launch.

Visual match to the approved Google Stitch design

Compare each live page to the corresponding approved Stitch screen. Check layout, spacing, color, typography, and component arrangement. Flag any sections where the production build drifts from the design direction.

Responsive behavior on mobile, tablet, and desktop

Resize each page across the three main breakpoints and verify that the layout adapts correctly across screen sizes. Check text size, image scaling, navigation behavior, and touch target sizes on mobile.

Navigation, buttons, forms, and interactive states

Click every link, button, and menu item. Submit every form with valid data and with intentionally invalid data to test validation. Verify that every interactive element behaves as specified in the handoff brief.

Accessibility, contrast, and readable typography

Check text contrast ratios against WCAG 2.1 AA requirements as part of good accessible web design practice. Verify that all images have descriptive alt text. Test keyboard navigation for users who do not use a mouse.

Page speed, image optimization, and layout stability

Run a Lighthouse or PageSpeed Insights audit on the homepage and the highest-traffic page. Check that images are compressed, served in a modern format, and use lazy loading so they only load when needed. Look for cumulative layout shift caused by images loading without defined dimensions, and confirm that browser caching is enabled.

If you built with Coderick AI, most of this is handled automatically. Images are optimized out of the box, and SiteGround’s infrastructure takes care of caching, CDN, and server response time without any manual configuration needed.

Custom domain, SSL, metadata, and indexability

Confirm the custom domain resolves correctly. Verify the SSL certificate is active and that all pages serve over HTTPS. Check that each page has a unique title tag and meta description matching the approved metadata. Confirm the site is not blocked from indexing by a robots.txt directive left over from staging.

Related workflows: Claude Artifact and Claude Design

This article focuses on Google Stitch designs. If your starting point is an interactive prototype inside Claude, use the Claude Artifact workflow. If your starting point is Anthropic’s design workflow, use the Claude Design workflow to turn it into a website. The production logic is similar, but the source asset and handoff details are different.

Start building from your Google Stitch design today

A finished Google Stitch design is the production blueprint, not the finished website. Once the vision is defined, the screens are approved, and the handoff brief is ready, the only thing left is to turn that Google Stitch design into a real website.

Coderick AI provides the managed path from an approved Google Stitch design direction to a live, hosted, maintainable website or web app. Bring your complete Stitch package into Coderick AI, build on SiteGround’s infrastructure, and publish without manual deployment steps.

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FAQs about turning Google Stitch designs into a website