Category: AI Trends

Random prompts get random results. A vibe coding workflow gives you a repeatable way to work with Coderick AI and other AI website and web app builders so each session builds on the last instead of starting from scratch.

A vibe coding workflow is a structured process for working with AI tools: you define one outcome, give the AI the right context, review the first output, refine with focused follow-up prompts, and document the decisions that shaped the project. The goal is a consistent, reviewable build process instead of a prompt session that spirals into something you can’t explain, repeat or undo.

What is a vibe coding workflow?

A vibe coding workflow consists of the following points: 

1. А defined start (the goal)
2. А defined end (a result that meets your success criteria)
3. А series of steps in between that keep the session on track

Workflow vs. random prompting

Random prompting is an unstructured approach: you open an AI tool, type whatever comes to mind, and evaluate the result by feel. There’s no defined goal, no way to judge whether the output is right, and no record of what you asked for. When the result is off, you rewrite the prompt from scratch and hope the next version lands closer.

Here’s a quick example of random prompting: 

“Build me a website for my HVAC business.” Result is off. “Make it better.” Still off. “Add more stuff.” 

A vibe coding workflow moves through defined phases, as covered earlier in this guide. Here’s what that looks like in practice:

Step 1. Describe: “Build a one-page site for a residential HVAC company. Main action: service request form. No ecommerce, no blog. Clean layout, phone number at the top.”

Step 2. Review: Result is close, but the form is below the fold and the heading is too generic.

Step 3. Refine: “Move the form above the fold.” Done. “Rewrite the heading to focus on same-day repairs.” Done.

Three prompts, one clear outcome. That’s the workflow.

Start with one outcome before you prompt

The clearest prompt you’ll ever write comes from a goal you’ve already defined on paper. Spend five minutes here and the rest of the session gets easier.

1. Name the thing you want built

Be specific about the deliverable. “A website” isn’t a deliverable. “A three-page website for a yoga studio with a class schedule, a contact form, and an About page” is. The name of the thing sets the scope for everything that follows.

2. Define who it’s for

The audience shapes every decision the AI makes: the language it uses, the features it includes, the layout it defaults to. “Homeowners needing HVAC repairs” and “facilities managers for commercial properties” are both potential audiences for the same type of service, but they expect very different experiences.

3. Write the success criteria

A success criteriа is a check you can run after the first output to decide whether it worked. It doesn’t need to be long. “The main call-to-action button links to a contact form” is a success criterion. “The page looks good” isn’t.

Two or three criteria is enough for a first session. The goal isn’t to define everything the project will ever need; just enough to judge whether the first output is on track.

4. Set the first-version boundary

The first version doesn’t need to include everything. A smaller scope produces a cleaner output and gives you a clearer baseline to build from. Decide what the first output must include and what it doesn’t need yet. This stops the AI from adding features you didn’t ask for and gives you a clean baseline to review.

What context should you give before prompting?

Context is what separates a useful first version from one that needs to be thrown away. The AI builds from the context you provide. If the description is incomplete, the output will fill the gaps with guesses.

Business context

Tell the AI what kind of business or project this is for. “Residential HVAC company serving suburban homeowners” gives the AI enough to make reasonable decisions about tone, layout, and functionality.

Audience context

Describe who will use the result. Age, technical confidence, and the specific thing they need to do all matter. “Homeowners who aren’t especially tech-savvy and want to book a repair quickly” is useful. “Regular people” is not.

Style and brand context

If there are visual or tonal constraints, say them upfront. Color preferences, an existing logo, a formal or casual voice. Without this context, the AI is more likely to produce generic output.

Feature context

List what the first version needs to include. The goal here isn’t to define the whole project — it’s to get a reviewable first draft. Three to five features gives the AI enough to build something concrete without producing an output that’s too complex to evaluate in one sitting. More detail can come in follow-up prompts once the structure is right.

Constraints and must-not-do items

What the AI should avoid is just as important as what it should include. No ecommerce. No user accounts. No multi-page navigation for now. These constraints prevent the AI from solving problems you didn’t ask it to solve.

Context type	What to include	Example
Business	What you do	“Residential HVAC company”
Audience	Who it’s for	“Homeowners needing repairs”
Goal	What should happen	“Book a service call”
Style	Tone and visual direction	“Clean, minimal, blue and white”
Constraints	What to avoid	“No ecommerce features”

How should your prompting workflow work?

A prompting workflow has four moves: create, review, fix, and test. Each one has a job. Don’t combine them in a single prompt.

Prompt 1: create the first version

The first prompt is the broadest prompt in the workflow. Include the goal, the audience, the key context, and the first-version boundary. Ask for the first complete version. Don’t hold back important context here because you’re trying to keep the prompt short.

A first prompt for Coderick AI might look like: 

“Build a one-page website for a residential HVAC company. The audience is homeowners in suburban areas. The main action is filling out a service request form. No ecommerce, no blog, no user accounts. Clean layout with a phone number visible at the top.”

And here’s the first result that Coderick AI generates:

Prompt 2: Review and improve structure

Before refining details, check whether the structure is right. Is the layout doing what you wanted? Is the information in a sensible order? Is the main action easy to find? A structural problem is harder to fix later, so catch it now.

Prompt 3: Fix one issue at a time

Once the structure is right, move to specifics. One change per prompt. “Move the contact form above the fold” is a good prompt. “Move the contact form, change the heading text, add a testimonial section, and make the buttons blue” is four prompts crammed into one, and the AI will handle some of them well and others poorly.

In our case, if we want the service request form to be the only action a visitor can take in the hero section, we’d use this prompt:

“Remove the phone number button from the hero. The only primary action should be the service request form.”

Prompt 4: Test the main user action

Before you call the project done, test the one thing the project is supposed to do. For a booking site, that means going through the booking flow. For a landing page, that means reading it as a first-time visitor. What’s missing or broken?

Document what changed

AI sessions have no memory between prompts. When a session runs long, it’s easy to lose track of what you changed, why you changed it, and which version actually worked. A one-sentence note after each significant prompt — what you asked for and why — is enough to keep the session recoverable.

For example: “Removed the pricing section because it confused the target audience in testing.”

A session that runs four prompts deep already has three decisions worth keeping: what you built, what you changed, and why. Without a record, the next session starts from scratch. With one, it starts from where you left off.

In Coderick AI, every saved state is stored in version history, which means you can roll back to any earlier version if a change takes the project in the wrong direction. Pair that with a short decision log and you have two layers of recovery.

How do you review the first AI output?

Reviewing the first AI output is a specific skill, not just a gut check. Work through a short checklist before you ask for changes.

✅ Check if it matches the original goal

Does the output match what you asked for in the first prompt? Not whether it looks good, but whether it does the job you defined. A beautiful website that doesn’t have a contact form failed the brief.

✅ Check what’s missing

What did you ask for that isn’t there? Go back to your first-version boundary and compare it to the output line by line.

✅ Check what’s wrong

What’s present but incorrect? Wrong copy, wrong layout, wrong tone. Note each issue separately so you can fix them one at a time.

✅ Check what’s too complicated

What did the AI add that you didn’t ask for? AI tools tend to add features. Anything you didn’t request is a candidate for removal before the project gets bigger.

✅ Check what needs human judgment

Some things the AI can’t decide for you: 

• Whether the copy sounds like your brand
• Whether the color palette fits your audience
• Whether the flow makes sense to someone who doesn’t know the product 

Mark those for a manual review pass.

How does prompt refinement work?

Prompt refinement is the discipline of improving the AI output with targeted follow-up requests. It’s not rewriting the whole brief from scratch. It’s asking for one specific change, checking whether it worked, and deciding what to do next.

For example: instead of going back to the AI with “redo the whole page, it’s not quite right,” you’d say “move the service request form above the fold.” Check the result. Then: “rewrite the heading to focus on same-day repairs.” Check again. 

Ask for one change at a time

This is the most important rule in the refinement loop. One change per prompt keeps the output predictable and the session recoverable. When you ask for three things at once, the AI changes all three but you can only evaluate one at a time, so you don’t know which change caused the result you’re looking at.

Reference the previous output

Tell the AI what it just built. “In the version you just created…” or “Keep everything from the last version except…” grounds the follow-up prompt in a specific state. Without this, the AI may drift back to defaults.

Give the reason for the change

“Simplify the navigation because users are arriving from mobile and need to reach the contact form in one tap” is a better prompt than “simplify the navigation.” The reason helps the AI make a proportionate change instead of guessing what level of simplification you want.

Avoid rewriting the whole request

Rewriting the whole prompt from scratch restarts the context window and loses decisions you already made. The AI forgets the decisions you’ve already made. Work from the existing output, not from a blank slate.

Stop when the output meets the success criteria

Go back to the success criteria you wrote before the first prompt. If the output clears them, stop. You don’t need perfection. You need something that works well enough to test with real users or review with a real audience.

Why prompt documentation matters

Prompt documentation is the habit of recording what you asked for, what changed, why it changed, and what you kept. It’s the difference between a session you can hand off, restart, or learn from and one that only makes sense in the moment.

Save the prompt that worked

When a prompt produces a result you want to keep, save it. Save it somewhere outside the AI session. The session context gets messy over time, and what worked in turn 3 is easy to lose by turn 15.

Record what changed

Note every significant change you made and why. Not every tiny adjustment, but every decision that affected the direction of the project.

Track decisions you don’t want to lose

Some decisions aren’t about prompts, they’re about the project. “Decided to remove the pricing page because it confused the target audience” is a decision worth recording even if it happened in a conversation, not a prompt.

Keep a short changelog

A changelog doesn’t need to be formal. A date, a description, a reason, and a result is enough. This is the pattern that makes sessions restartable.

Context rot is what happens when a long AI session accumulates so many follow-up prompts and partial rewrites that the AI’s responses stop being consistent with the original goal. A changelog is the best defense against it because it lets you restart a clean session with a summary of the goal, decisions, and current version.

Date	Prompt/change	Why it changed	Result
May 3	Simplified homepage CTA	Too many actions on the first version	Cleaner user path
May 4	Removed pricing section	Early user confusion	Leaner page
May 5	Added testimonials block	Brief required social proof	Added above fold

Restart with clean context when needed

When a session gets long enough that the AI starts contradicting earlier outputs or forgetting constraints, start a new session. Paste in a short summary of the goal, the decisions made so far, and the current state of the project. You’ll get cleaner results from a fresh context than from a conversation that’s been running for fifty turns.

When should you stop prompting and start reviewing?

There’s a point in every session where more prompting makes things worse, not better. Knowing when you’ve hit that point is part of the vibe coding workflow.

Stop prompting when:

• The same issue keeps coming back after you’ve addressed it twice
• The output from the last prompt is worse than the output from the previous one
• You can’t clearly explain what change you’re about to ask for
• The next change involves a judgment call that only you can make
• The first version is good enough to test with a real audience

At any of these points, the right move is to stop prompting and review manually, test with a real user, or start a new session with a cleaner brief. For higher-risk builds, run the security checks before publishing.

A reusable vibe coding workflow template

Use this template at the start of any new project. Fill it in before you open Coderick AI or any other AI website and web app building tool.

Put the workflow into practice with Coderick AI

Everything in this vibe coding workflow maps directly to how Coderick AI is built. You describe the goal, Coderick AI generates the first version, and you refine the project without switching tools or managing infrastructure.

The Visual Editor handles credit-free refinements for design changes you want to make without reprompting. Version history works as your decision log: every saved state is a checkpoint you can roll back to or reference when you start a new session. Publishing happens inside Coderick AI, with hosting and SSL included.

The result is that the full workflow: plan, prompt, review, refine, document, test, publish — happens in one place. No separate tools, no technical decisions before you can start.

Test the full workflow free for 14 days.

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Frequently asked questions about vibe coding workflow

You don’t need a developer to build a working business web app anymore. If you can describe what your business needs in plain language, an AI web app builder can turn that description into a real app, with pages, data, users, forms, and the workflows that connect them. 

This guide walks you through what AI web app builders create, what to think about before you start, and how to choose a first project you can ship in a week.

What is an AI web app builder?

An AI web app builder is a tool that turns your plain-language description of a business app into a working first version, without requiring you to write code, design screens, configure databases, or set up hosting manually. You describe what the app should do (for example, “a client portal where my customers can log in, see their invoices, and download tax documents”), and the AI builder generates the pages, forms, data tables, and basic logic for you.

This builds on the same shift behind AI website builders and the broader idea of vibe coding: instead of writing code, you write what you want, and the AI handles the technical execution. The result is a working draft you can review, refine, test, and publish when the core workflow is ready.

How a web app is different from a website

To put it simply: a website is mostly something people read, while a web app is something people use.

On a website, visitors look at pages: a homepage, a services page, an about page. They may fill in a contact form, but the experience is largely one-directional: you publish, they read. On a web app, users do things with data. They log in, submit information, see results that update for them, change records, and trigger actions. 

Think of it like this: a small business that needs to share what it does needs a website (and it can easily create one with an AI website builder). A small business that needs to manage what it does often needs an app.

A few examples:

• A restaurant’s website shows the menu. A restaurant’s web app takes online reservations and stores them in a database (basically a smart, searchable list) the staff can manage.
• A consultancy’s website explains its services. A consultancy’s web app gives each client a personal portal with documents, invoices, and project status.
• A small store’s website lists products. A small store’s internal app helps the team track inventory, fulfil orders, and update stock levels.

What an AI web application builder does

An AI web application builder handles the parts that used to require a developer: creating the pages, generating the forms, setting up the database that stores the information, building the logic that ties everything together, and putting it all online at a real web address. You provide the business context, the AI provides the structure and code.

The best builders also include the things you’d otherwise have to set up separately: hosting, a database, security, and a way to publish to a real URL. Coderick AI was built around this all-in-one principle: when you click “publish,” the app goes live on SiteGround’s infrastructure with hosting and security already in place.

When a web app is the right choice

A web app is the right choice when you need users to do something with information, not just read it. If your project involves any of the following, you’re probably building a web app, not a website:

• People logging in to see their own data
• Tracking and updating information like leads, bookings, tickets, invoices, or tasks
• Tracking the status of something over time
• An internal team coordinating around a shared list or workflow
• A small set of users who need different levels of access

But if your project is mostly content, marketing pages, and a contact form, a website is usually the right call. SiteGround’s AI website builder guide covers that case in detail.

What makes a web app work?

Every web app comes down to four basics: users, data, actions, and workflows. Define those four right in your head before you start building, and the rest of the work becomes a series of small, specific decisions.

Users: who needs access

Start with the people who will use the app. Some users may be your team. Some may be your customers. Some may be the general public. Each group has a different reason to be there and a different set of things they’re allowed to do. A booking tool, for instance, has two user groups: customers (who book appointments) and staff (who manage the calendar). A client portal has clients (who see their own data) and an admin (who sees everyone’s).

You don’t need a long list to start. Two or three user groups is plenty for a first version.

Data: what the app stores

Next, the information your app keeps track of. For a CRM, that’s leads with names, emails, phone numbers, and statuses. For a booking app, it’s appointments with dates, times, customers, and services. For a client portal, it’s invoices, files, and project updates. The data is the heart of the app. Without it, there’s nothing to display, manage, or act on.

Actions: what users can do

Actions are what each user group can do with that data. A customer might submit a booking request. A staff member might mark it as confirmed. An admin might cancel it and notify the customer. Actions are usually verbs: submit, approve, edit, delete, send, schedule.

Outcomes: what changes after each action

Every action on your web app should produce a clear outcome. A submitted booking creates a new record. An approval changes a status and sends a confirmation email. A cancellation frees up the time slot. If you can’t say what changes after an action, the action probably isn’t useful enough for version one.

Web app part	Plain-English meaning	Example
User	Person using the app	Customer, admin, employee
Data	Information stored	Leads, invoices, bookings
Action	What users do	Submit, approve, update
Workflow	What happens next	Send alert, change status

What can an AI web app builder create?

A good AI web app builder can create almost anything, but most small business apps fall into a handful of common categories. The pattern of users, data, actions, and outcomes often repeats; what changes is the specific business problem. For example, here are the web app types small businesses create most often with Coderick AI:

Forms and data collection

The simplest type. A form on a page, a database behind it, a place to review submissions. Useful for lead capture, event registrations, internal feedback, service requests, or for when someone needs to give you structured information and you need to keep track of it. A landscaping company can replace a generic contact form with a quote-request form that asks for property size, type of work, and preferred timing, then collects the answers in one place.

Example prompt you can start with:

“Build a quote-request form for a small landscaping company. Visitors submit their name, email, phone, property address, property size, type of work (lawn care, design, tree work, irrigation, hardscaping, cleanup), preferred timing, and optional notes – no login required. Admin logs in to a dashboard that lists all submissions with searchable, filterable rows, an editable status column (new, contacted, quoted, won, lost), per-submission notes, and CSV export. Clean, mobile-friendly design.“

Here’s what Coderick AI generates from that prompt – and you can keep refining from there.

Dashboards and reporting

Dashboards turn lists of numbers and records into something you can read at a glance. They take the information you already have (in a spreadsheet, a CRM, a database) and present it as charts, tables, and key numbers. Freelancers juggle multiple clients, invoices in different states (draft, sent, paid, overdue), and projects at various stages. Most track this in a messy spreadsheet or across three different tools. A dashboard could pull it all together: month-to-date earnings, outstanding invoices, which clients owe what, average days-to-payment, a pipeline of pitches sent versus accepted, and upcoming deadlines. The numbers were always there; the dashboard makes them readable.

Example prompt you can start with:

“Build a single-page dashboard for a freelance writer. Top row: four key-number cards — this month’s earnings, outstanding invoices, overdue amount, pitches awaiting reply. Middle: bar chart of last 6 months’ earnings, and a donut of revenue by client. Bottom: two tables — outstanding invoices (client, amount, days overdue, color-coded status) and active pipeline (prospect, pitch date, stage). Clean minimal styling, deep teal accent, responsive.”

Customer portals

A customer portal is a private area where each customer logs in and sees their own information. An accountant might give every client a portal to upload documents, download statements, and message the firm. A coaching business might give clients a portal to track session notes, exercises, and progress. The portal removes back-and-forth emails and gives each customer a single place to go.

Example prompt you can start with:

“Build a client portal for a small accounting firm. Clients log in and see their own documents, invoices, and a message box to contact me. I (admin) can upload documents to any client’s account and reply to messages. Each client should see only their own files – never another client’s. Keep the design clean and professional.”

Booking and scheduling tools

A small but powerful category. Customers see availability, choose a time, and book. The app stores the booking, sends a confirmation, and updates the calendar so the slot is no longer offered. A yoga studio might use one for class signups. A consultant might use one for discovery calls. A dog groomer might use one for full-service appointments with extras attached.

Example prompt you can start with:

“Build a class-booking app for a small yoga studio. Customers see the week’s classes (date, time, instructor, available spots) and book a spot. Bookings are stored and an email confirmation is sent. I (admin) can add classes, see all bookings, and cancel a class if needed. No payments in version one; bookings are free or paid in person. Mobile-friendly.”

CRM and sales tracking

A CRM (customer relationship management tool) is where you track leads and customers through their journey with your business. New lead, qualified lead, proposal sent, won, lost. A custom CRM built with an AI web app builder lets you track the exact stages your business uses, not the generic ones a generic SaaS tool gives you. A real estate agent might track stages like “viewed property,” “offer made,” and “in escrow.” An agency might track “discovery call,” “proposal,” “signed,” and “onboarding.”

Example prompt you can start with:

“Build a CRM for a small marketing agency. Each lead has a name, company, source, estimated deal value, and a status (new → discovery call → proposal → signed → onboarded). I want to add leads manually, move them between stages with one click, and filter the list by stage. Show a small dashboard at the top with the count and total deal value per stage. Only my team can log in.”

Admin panels and internal tools

Admin panels are private apps for your team. They give you a way to view, search, edit, and manage your business records in one place: orders, customers, content, inventory, anything you currently juggle across spreadsheets and inboxes. An AI internal tool builder is useful when a team needs a private dashboard, CRM, approval tool, or operations tracker without waiting for a custom development project. The team often gets a working version faster than the procurement process for a new SaaS subscription.

Example prompt you can start with:

“Build an internal admin panel for a small online shop. It should list all orders (date, customer, items, total, status) and let me search by customer name or order number. I want to update the order status (pending → packed → shipped → delivered) from a dropdown. Two roles: admin (full access, can delete orders) and team (can view and update status, but cannot delete).”

What an AI web application builder can’t do

AI web app builders are useful, but builder choice matters because projects still need technical review or specialist help. Here are some things to be cautious about:

• Very specialized integrations with industry software (medical records systems, legal practice management, real estate MLS feeds) often need a developer to handle the technical bridges (called APIs) between systems.
• High-volume, mission-critical systems with strict performance, scaling, or compliance requirements (healthcare, payment processing at scale, regulated finance) generally need professional review.
• Complex algorithms for things like advanced search ranking, real-time matching, or specialized scientific computing tend to sit outside what an AI builder produces well.
• Pixel-perfect, brand-led design with unusual interactions may need a designer’s hand even if the underlying app is AI-generated.

For everything else (and that covers most small business apps), an AI web app builder gets you a working version faster than any other option.

How do permissions and roles work in a web app?

Roles and permissions are how a web app decides who can see, create, edit, delete, or manage each type of data. The thinking is intuitive once you connect it back to the people in your business.

Public users vs logged-in users

The first divide. Public users are anyone visiting the app without logging in. They can usually see whatever you’ve made public (a booking page, a contact form, a public dashboard). Logged-in users have an account and can see and do more. The login is the gate that separates “anyone on the internet” from “people you’ve given access to private data or actions.”

For a customer portal, the public side might be a small login page; everything else lives behind the login. For a booking tool, the public side might include the entire booking flow, with the admin side reserved for staff.

Admin roles vs customer roles

Among logged-in users, the next divide is usually admin versus customer. Admins manage the app. They see everyone’s data, change settings, and handle exceptions. Customers (or clients, or members, or whatever you call them) use the app. They see only their own data and the actions you’ve allowed.

A simple example: in a fitness studio’s booking app, admins see all bookings across all classes and can cancel, reschedule, or refund. Customers see only their own bookings and can cancel or reschedule their own.

What each role should be allowed to do

The clearest way to think about this: list each role, then list what they should be able to see and do. Two or three short rules per role is usually enough for a first version.

A short example for a small client portal:

• Admin (you): Can see all clients, all files, all invoices. Can add and remove clients. Can upload documents to any client account.
• Client: Can see only their own files, invoices, and project status. Can upload documents to their own account. Can message you through the portal.

That’s it. You can layer in more nuance later, but starting simple is the safer way.

Common permission mistakes to avoid

A few patterns that go wrong often:

• One role for everyone. Everyone is an admin, which means anyone with a login can see and edit anything. Easy to set up, dangerous in practice.
• Customers seeing each other’s data. Caused by missing the rule that says “show only records belonging to the logged-in user.” If a client portal accidentally shows another client’s invoice, trust is gone.
• Public pages that should be private. A dashboard with internal metrics left accessible to anyone with the URL. Always check what’s visible when you’re not logged in.
• Admins with no audit trail. When several team members can change records, you want to know who changed what. For sensitive workflows, ask the builder to log changes.

When you describe a web app to Coderick AI, mention the role rules explicitly. “Only logged-in clients can see their own invoices. Admins can see all invoices.” That single instruction shapes how the web app’s permissions are set up.

Pro tip: Run the “logged-out test”

Open the app in a private browser window where you’re not signed in. Then log in as a customer, not as yourself. What you can see in each state is what real users will see. If anything looks wrong, fix it before you publish.

How should non-technical owners think about app data?

The word “database” may sound intimidating, but a database is really a more organized version of the spreadsheets you already use. Where a spreadsheet stores one list, a database stores several lists at once and connects them to each other. You won’t design one yourself; the AI handles that. But you do need to understand what your app stores and how the pieces fit together, because that picture is what you’ll describe in plain English when the AI builds the app. 

Three concepts cover most of what you need to know: tables, fields, and relationships.

Tables are lists of business records

A table is a list: for example, a list of customers, a list of bookings, or a list of products. Each row is one record (one customer, one booking, one product). If you’ve ever kept a spreadsheet of clients or stock, you’ve used a table.

Fields are the details inside each record

A field is one detail on each record. A customer record might have fields for first name, last name, email, phone, and status. Each row in the customers table has the same fields; the values are different from row to row. Sticking with the spreadsheet picture: tables are sheets, fields are columns.

Relationships connect one record to another

Sometimes one record relates to another. An invoice belongs to a customer. A booking relates to a service and a staff member. A relationship is the link between two tables, and it’s how a CRM knows which deals belong to which contact, or how a booking app knows which appointments belong to which client.

You don’t need to design relationships yourself. When you describe the app in plain English (“each invoice belongs to one customer”), the AI handles the technical setup.

Start with the smallest useful data model

The temptation is to plan for everything. Resist it. Start with the smallest set of tables and fields that lets the main workflow actually work. A first-version client portal might have just two tables: clients and files. A first-version CRM might have just one: leads. You can always add more once the basics are running and you know what’s actually missing.

Pro tip: Add fields when you miss them, not before

Resist the urge to plan for every field you might one day need. Start with the bare minimum, use the app for a week, and add fields when gaps become obvious. Apps grow well when they grow from real use, not from imagined needs.

Prompt-to-app: how to describe a web app in plain English

The way you describe your app shapes what the AI builds. A short, vague prompt gives you a generic starting point; a specific one gives you something much closer to what you actually need.

What “prompt to app” means

Prompt to app is the idea that a plain-language description (a prompt) is enough to produce a working app. You don’t write technical documents, you don’t draw screen layouts, you don’t sketch databases. You explain what the app does, who uses it, and what should happen, and the AI handles the construction.

Web app requirements explained in plain English

For your first app, requirements in plain English boil down to five sentences:

1. Who uses the app. “This app is for me (admin) and my clients.”
2. What it does. “It lets clients see their invoices and download files.”
3. What data it stores. “Each invoice has a date, amount, status, and the client it belongs to.”
4. What actions exist. “I can upload invoices and mark them as paid. Clients can view their own invoices and download them.”
5. What success looks like. “Clients can log in, see their invoices, and download them without emailing me.”

Five sentences is enough to produce a useful first version.

The simple web app prompt pattern

A reliable pattern for web app prompts:

“Build a [type of app] for [business and audience]. Users are [user groups]. The app should let [user 1] do [action] and [user 2] do [action]. It stores [main data]. The main workflow is: [step 1] → [step 2] → [step 3]. Make the design simple and mobile-friendly.”

Filling that in with a real example:

“Build a booking app for a small massage therapy practice. Users are clients (who book) and the therapist (who manages the calendar). Clients should be able to choose a service, pick an available time, and confirm a booking. The therapist should be able to view all bookings, mark them as completed, and cancel if needed. It stores services, time slots, and bookings. The main workflow is: client picks a service → client picks a time → client confirms → therapist sees the booking. Make the design calm and mobile-friendly.”

That’s a sharper prompt than “build me a booking app.” It still leaves plenty for you to refine afterwards, but the first version will be a lot closer to what you actually need.

Pro tip: Change one thing at a time

When refining the app, ask for one change per prompt instead of bundling five edits together. The AI handles a single clear instruction far better than a long list, and you’ll catch problems the moment they happen, not after five things changed at once.

What to include before the AI builds

A short list to add to your prompt if you have strong opinions about any of them:

• Business details: your name, your service, your city if it matters
• User groups and what each can do: the role rules from earlier
• Required fields on the main records: “each lead has a name, email, source, and status”
• The main workflow you care about: the path through the app that matters most
• Anything you don’t want: “no payments yet,” “no calendar integration in version one”

How to check the first version

Open the first version and try the main workflow as the user. Submit a record. Approve a record. Log in as a customer.

The first version may look simpler than you imagined; that’s normal. It’s a starting point, not a finished product. From there, you can refine: ask Coderick AI to change the layout, add a field, add a page, or even add a new feature you didn’t include in the first prompt. Visual edits let you adjust labels, copy, and styling directly without going back to chat each time. If something is off, describe what you want changed in plain language, and the app updates. The loop of test → describe → adjust is where the app actually becomes yours.

What workflow rules should your first web app include?

Workflows are the rules that say “when this happens, that follows.” A first web app doesn’t need many workflow rules. The five below cover most small business apps.

Status changes

A status field is the simplest workflow tool. A lead is new, then contacted, then qualified, then won or lost. A booking is requested, then confirmed, then completed. A status change is often the action itself: clicking “approve” changes the status from pending to approved.

Notifications

A notification is a message sent when something happens. A new booking sends an email to you. An approved request sends a confirmation to the customer. Keep notifications few and meaningful. A notification for every small change quickly turns into noise people start to ignore.

Pro tip: One notification rule of thumb

If a notification doesn’t change what someone does next, it shouldn’t exist. A booking confirmation tells the client to show up. A “your status was viewed” alert tells them nothing they can act on. Cut the second kind ruthlessly.

Approvals

An approval is a workflow that requires someone with the right role to confirm an action before it proceeds. A discount request might need owner approval. A new client account might need admin review. Approvals are useful when an action has real consequences and you want a second pair of eyes.

Reminders

Reminders are time-based notifications. An appointment reminder sent 24 hours before the slot. A follow-up reminder a week after a quote is sent. Useful when a workflow has a gap between steps and people forget to come back.

Simple calculations

The web app does math so you don’t have to. An invoice app calculates the total from line items, tax, and discount. A booking app calculates the end time of an appointment from the start time and the service length. A CRM might calculate days since last contact. Small calculations like this turn an app from a list-keeper into something that actually saves time.

When you describe these rules to Coderick AI, keep them short. “When a booking is confirmed, send a confirmation email to the client and a notification to the therapist.” That single sentence gives the AI a clear workflow rule to build from.

What is the best first app to build with AI?

The best first app is small, useful, and easy to test. The most common mistake is starting too big. The second most common is starting in the wrong place. Both are avoidable.

Start with a narrow business problem

Pick one problem in your business that is repetitive, structured, and currently lives in spreadsheets, inboxes, or notebooks. For example, lead tracking, booking, invoice tracking, or client onboarding. Anything that’s currently a tangle of files and messages is a strong candidate.

Resist the impulse to build “the app for everything.” The all-in-one app for your whole business can take a year of work even with AI. A focused app for one thing can be an afternoon.

Choose one user group first

Build for one user group in the first version. Either the customer-facing side (booking, client portal) or the internal side (lead tracker, admin panel). Adding the second side later is easier than getting two sides right at once.

Avoid complex integrations in version one

Save integrations with email tools, payment processors, accounting software, and calendar systems for version two. They add real value, but they also add complexity, and complexity is the enemy of finishing version one.

Pick an app you can test in a week

The right scope for a first app is one you can describe, generate, refine, and test within a week of focused work. If the scope is bigger than that, narrow it. A booking app for one type of service. A CRM for one stage of your pipeline. A portal for one type of document. Short scope wins.

Pro tip: Time-box version one

Set a deadline before you start, even an artificial one: “I’ll publish v1 by next Friday.” A deadline forces decisions. Without one, the urge to keep adding features eats whatever momentum you started with.

Business need	First app to build	Why it works
Track leads	CRM dashboard	Clear data, simple workflow
Manage bookings	Scheduling app	Easy user actions
Share updates	Customer portal	Simple access model
Track operations	Internal dashboard	High business value

How to deploy an AI web app: staging vs production and rollback plan

Deployment is the moment the app moves from draft to something real users can access. Most of the time it’s a single click; the planning around it is what matters.

What it means to deploy an AI web app

To deploy an AI web app means to make it live for real users at a real web address. Until you publish, the app exists only in the builder. Once it’s live, anyone with the URL (or the login, depending on how it’s set up) can use it. In Coderick AI, for example, publishing is built into the platform: when you click “publish,” the app goes live on SiteGround’s infrastructure with hosting, security, and a database already handled inside the build-and-publish flow.

Staging vs production basics

A web app usually has two versions:

• Staging is the place where you make and test changes. Real users don’t see it.
• Production is the live version that real users actually use.

The point of the split is to try risky changes in staging first, confirm they work, and only then push them to production. For a non-technical owner, the simple rule is: never make a big change directly on the live version. Make it where it can be reviewed.

Pre-publish checks

Before you publish version one, run through a short checklist:

• Try the main workflow end to end as each user role.
• Test every form: submit, receive, confirm.
• Check the mobile experience on an actual phone.
• Confirm that permissions work (log in as a customer, make sure you can’t see other customers’ data).
• Read the user-facing copy as if you were a first-time visitor.

Five minutes of pre-publish testing prevents most launch-day problems.

Rollback plan: what to do if something breaks

A rollback plan is a simple recovery plan for going back to the last working version if something breaks after publishing. It doesn’t have to be elaborate. For a first app, it boils down to four questions:

• What counts as a problem? (“Users can’t log in.” “Forms aren’t submitting.” “Payments aren’t going through.”)
• Who checks for problems? (Usually you, in the first 24 hours after publishing.)
• How do I restore the previous version? (Most platforms keep a history; in Coderick AI, you can revert to an earlier project version through the dashboard.)
• How do I confirm the app is working again? (Run the main workflow yourself.)

How Coderick AI helps create prompt-built web apps

For non-technical users, the hardest part of building an app usually isn’t the app. It’s the four other things you have to figure out separately: where it lives (hosting), where the data goes (database), how it’s protected (security and a secure connection), and how people reach it (a web address of your own). Most AI builders leave all four to you. Coderick AI keeps them in one place, so the build, the hosting, the database, and the publishing all happen in the same platform.

Here’s a how to build your first web app in Coderick AI:

Describe the app in plain English

Open Coderick AI and describe the app in your own words: who uses it, what data it stores, what should happen at each step. As mentioned, you don’t need to be technical, and you don’t need to know what to call things. Coderick AI is built for plain-language instructions, so you don’t need to know technical terms before you start.

Review the first working version

Within a few minutes, Coderick AI builds a working first version of the app. Pages, forms, database, basic logic, the lot. Open it and try the main workflow yourself as if you were the user. The goal of the first version isn’t to be perfect; it’s to be a starting point you can react to.

Edit screens, content, and logic

From there, you refine. Ask Coderick to change a label, add a field, rearrange a section, or add a new feature. For copy and styling tweaks, you can also use visual edit mode and click directly on the element you want to change. Most apps go through several rounds of this before they feel right.

Publish when the core flow works

Once the main workflow runs cleanly, click “publish.” Coderick AI handles the parts that used to be a separate project:

• The app goes live on SiteGround’s premium hosting infrastructure.
• The database is already set up and connected.
• Security is active by default, including SSL (the secure-connection standard your browser shows as a small lock icon) and SiteGround’s enterprise-grade protections.
• The app is responsive on phones, tablets, and desktops by default.
• You can connect a custom domain through the dashboard.

The build-and-publish loop is one continuous workflow rather than five separate vendors. Ready to start? 

Try Coderick AI and build your first web app

FAQs

If you’ve ever thought “I wish this tool just worked the way my business works”, that’s the problem this guide solves. Knowing how to build a web app used to require a developer, a budget, and a long wait. Now you can describe what you need and build it yourself with AI.

This guide covers the four types of web apps small businesses build, what each one does, real examples of each, and a practical walkthrough of how to build your own with Coderick AI on SiteGround.

What is a web app and why does it matter for your business? 

A web app is any software you access through a browser to complete an action: logging in, creating records, updating information, getting things done. You’ve used one when you logged into your accounting tool, checked a shipping dashboard, or filled out an online form that updated a database somewhere.

That’s what separates a web app from a regular website: a website is primarily something you read; a web app is something you use.

And anything you’re currently doing in a spreadsheet, an inbox, or a copy-pasted update? That’s a web app waiting to be built.

What kinds of web apps do small businesses use most? 

Most web apps for small businesses fall into one of four categories, and knowing which one you need is half the battle. The simplest way to choose a small-business web app is to ask what job it does: run the business, sell and grow, deliver the service, or enable and automate work.

1. The run the business web apps cover your operational backbone: CRM, invoicing, inventory, time tracking, and HR. The tools you’re probably managing in spreadsheets right now.
2. The sell and grow web app group covers everything that turns interest into revenue: ecommerce stores, lead generation tools, quote generators, or a simple campaign tool.
3. The service delivery web apps improve the customer-facing part of your operation: booking systems, client portals, and industry-specific tools built around how your business actually works.
4. The enable and automate web app layer covers the lighter-weight tools: KPI dashboards, workflow systems, AI-powered generators, and internal calculators that cut friction from tasks you repeat every day.

Whatever’s eating most of your time right now, there’s almost certainly a web application for it. And now you can build it yourself.

Web apps that run the business

These are the small business internal tools holding your operation together: the ones you currently have open in four browser tabs, two spreadsheets, and a group chat you’ve stopped responding to.Here’s what that looks like: a full CRM dashboard, generated by Coderick AI from a single prompt.

CRM and sales pipeline tracker

A CRM is the system that tracks every client and lead. Without one, that information lives across inboxes, notebooks, and someone’s memory, which works fine until it doesn’t.

Say you’re a freelance consultant with 15 active clients and 30 prospects at various stages. Describe a CRM with three pipeline stages, a follow-up reminder field, and a notes log — that’s exactly what Coderick AI builds. Need ten stages and a team view instead? Describe that. You get what you ask for, nothing more, nothing less.

💡 Tip: start with the pipeline, not the contact record. Get the deal stages working first — add, move, close.

Invoicing and billing tracker

An invoicing app handles the full billing cycle. No more PDF templates, saved-as copies, and calendar reminders to chase payments that may or may not have landed.

Take a web designer billing ten clients across different models; some per project, some on retainer. One custom invoicing app handles both, flags anything unpaid after 30 days, and auto-generates recurring invoices on the first of the month.

💡Тip: Don’t try to describe the whole app in the first prompt. Get the core flow working: create an invoice, send it, mark it paid. Anything else is a refinement, not a foundation.

Inventory control system

An inventory app tracks what you have, where it is, how fast it’s moving, and when you need to reorder. For product-based businesses, getting this wrong is expensive. Too much stock ties up cash, too little loses you sales.

If you’re running a homeware brand across two warehouses, a custom stock tracker shows live levels per location, fires a low-stock alert before you run out, and logs the supplier contact for each product. Restocking stops being something you remember at the worst possible moment.

💡 Tip: Build for one location first, even if you have several. Get the stock tracking and reorder alerts working cleanly, then add locations in a later iteration.

Time tracking and shift management

A time tracking and shift management app answers one question: who worked on what, and for how long. A shift management app answers another: who’s working when, and is every shift covered. Together, they replace the scheduling spreadsheet and the “can anyone cover Tuesday?” group chat.

Eight part-time café staff, a whiteboard, a group chat, and two spreadsheets that are never quite in sync — sound familiar? A custom shift scheduling app replaces all of it: the team sees their schedule, uncovered shifts get flagged, and hours are tracked without anyone having to chase anyone.

💡 Tip: Describe time tracking and shift scheduling as separate things in your prompt, even if you want them in one app. It gives Coderick AI a clearer structure to work from.

Compliance and document management 

A document management app gives your business a single, structured place to store, version, and retrieve the files that matter: contracts, certifications, policies, audit records. The right document, findable by the right person, without digging through a shared drive that hasn’t been organized since 2021.

For a construction firm with subcontractors, a compliance tracker built in Coderick AI logs certification expiry dates for everyone on the roster, sends reminders 30 days before anything lapses, and keeps a full audit trail, replacing a folder system that only one person knew how to navigate.

💡 Tip: start with the document storage and access control. Get the right people seeing the right files before adding expiry dates, reminders, or audit trails.

Web apps that sell and grow

If the previous category keeps your business running, this one keeps it growing. These are the tools that sit between you and your next sale — and the ones where a poor fit costs you revenue, not just time.

Here’s the output: a quote and estimate dashboard for a construction business, generated by Coderick AI from the prompt above.

Ecommerce store and product catalog

An ecommerce app gives you a custom storefront: your catalog, your order flow, your rules without the transaction fees or the feature compromises of a standard platform.

If you need a standard storefront up and running fast, SiteGround Ecommerce is built for exactly that. For more custom flows, like specific pricing rules, a B2B catalog, a multi-vendor setup, Coderick AI lets you build for your exact model.

💡 Tip: Describe your catalog and order flow first. Don’t try to build the full store in one go — get the product listing and order management working, then refine from there.

Lead generation and campaign tools

A lead generation app captures prospect information: from forms, landing pages, or direct outreach, and gives you a structured place to manage what happens next. You can segment contacts by source or status, flag leads that have gone cold, and keep your pipeline organized without it living in a spreadsheet or an inbox.

For a small agency with enquiries coming in across multiple service pages, a custom lead capture app lands every enquiry in a pipeline, tags it by service type, and triggers a follow-up sequence. No more checking three inboxes to figure out who asked about what and when.

💡 Tip: Start with the capture form and the pipeline view. Know where leads land and what their statuses are before adding segmentation or follow-up logic.

Quote and estimate generator

If your business runs on custom pricing, the next one is probably your biggest time sink.

A quote generator lets you build and send professional estimates without starting from a word processor template every time. For businesses with variable pricing (construction, trades, consulting) quoting manually is usually the most time-consuming part of winning work, and the most error-prone.

Think of a landscaping company quoting jobs with variable materials, labor, and square footage. A quote web app built in Coderick AI pulls in standard services, calculates the total, and outputs a branded PDF estimate.

💡 Tip: List your most common line items before you write the prompt. The more specific you are about what goes into a quote, the more useful the first version will be.

Web apps that deliver the service 

Running the business is internal. Delivering the service is what your clients actually see and the tools in this category shape that experience directly.

Here’s another example built in just a few clicks: this time a client portal with a personalized dashboard, project tracking, shared files, and meeting scheduling, all scoped to the logged-in client.

Appointment booking and scheduling system 

A booking app lets customers schedule time with you without a back-and-forth email thread. On your end, it manages availability, prevents double-bookings, and sends reminders.

A physiotherapy clinic with four practitioners and six appointment types is exactly where generic scheduling tools start showing their limits. Practitioner-specific availability, treatment length variations, cancellation rules: a custom booking system handles all of it without manual intervention every time something doesn’t fit the template.

💡 Tip: Describe your availability rules clearly — days, hours, appointment types, and whether different team members have different schedules. Booking logic gets complicated fast if the prompt is vague.

Client portal

A client portal gives each client a private space to log in and see what’s theirs: project status, reports, invoices, uploaded files. It replaces the “just checking in on progress” message and the twenty minutes it takes to respond to it.

If you’re managing 20 active clients across different projects, keeping each client’s view scoped to their own data is exactly the kind of thing that usually requires a development process. With Coderick AI, you can build and refine that logic yourself. It’ll take some iteration, but you won’t need anyone else to figure it out.

💡 Tip: Define who sees what before anything else. Write out the difference between what a client sees and what an admin sees — that access logic is the hardest part to retrofit later.

Industry-specific tools

Industry-specific apps are purpose-built for one type of business, shaped around how your industry actually operates. A clinic management system, a construction project tracker, a hospitality reservation system: each one is shaped around a workflow that a generic tool will never quite fit.

The more niche your workflow, the bigger the gap a generic tool leaves. A custom app fills it.

Web apps that enable and automate

Not every useful app needs to be a full system. Some of the best small business web apps do one thing well and save you an hour every time they do it.

This booking app is a good example: service tiers, scheduling, and a price estimator, built in Coderick AI and ready to use.

KPI dashboard and business metrics tracker 

A KPI dashboard puts your most important business numbers into one view: revenue, orders, invoices, performance. You manage the data yourself, but the view is always there when you need it, without opening five different tools to piece it together.

If you’re opening four different tools every Monday just to know where revenue stands, how many orders came in, and what’s still unpaid, a custom dashboard built with Coderick AI pulls all of that into one screen.

💡 Tip: List the exact five to ten numbers you want on the screen before you open Coderick AI. A dashboard is only useful if it tracks the right things — and that decision is yours to make, not the app’s.

Workflow and task management system

A workflow and task management app gives your team a structured way to move work through a process: a kanban board for tasks, an approval flow for requests, a ticket tracker for support issues, or an SLA (service level agreement) tracker — a way to make sure time-sensitive requests are handled within an agreed timeframe.

A small team where everyone does a bit of everything tends to run on informal updates and group chats until something slips. A custom workflow app built in Coderick AI replaces the “what’s the status on this?” thread with a board that actually reflects how your team works: your stages, your rules, your escalation paths.

💡 Tip: Map your stages on paper first — what does a task move through from start to done? The clearer your workflow is before you prompt, the less you’ll need to rework later.

AI micro-tools and internal calculators

AI micro-tools and internal calculators are the smallest apps with some of the highest perceived value: a pricing calculator that applies your exact logic, an ROI estimator you can share with prospects, an FAQ chatbot trained on your own content, or an internal generator that produces something your team creates manually every week.

Think of a copywriter who prices every project differently. A custom calculator that factors in word count, research time, and revision rounds means a consistent, defensible quote in seconds instead of a back-of-the-envelope guess.

💡 Tip: Write out the calculation or logic manually before describing it to Coderick AI. If you can’t explain how the output is reached, the app won’t be able to replicate it accurately.

How to build a web app for your small business with Coderick AI 

You don’t need a technical background to learn how to build a web app with Coderick AI. You need to know what problem the app solves, who uses it, what data it tracks, and what should happen when someone takes an action.

Step 1: Start with a brief 

Before you open Coderick AI, spend five minutes writing a short app brief with three answers:

1. What does the app need to do? 
2. Who uses it — just you, your team, your clients, or all three? 
3. And what information does it need to track? 

You don’t need to know anything about databases or code. You just need to be specific about your problem. The clearer your picture, the more useful your first output will be.

For a small agency, that might look like this:

• App: client project management portal
• Users: team members, clients, and an admin
• Team members need to update task statuses, log hours, and upload files
• Clients need to see their own project progress, shared files, and invoices — nothing else
• Admin needs a full overview of all clients and projects
• Data to track: tasks, statuses, hours, uploaded files, invoices, client access rules

Step 2: Describe the app and Coderick AI builds the first version 

Open Coderick AI and turn the app brief you wrote in step one into a plain-language prompt. The structure is simple:

• Start with the app type: what kind of tool it is, so Coderick AI has a clear frame to work from.
• Describe the main actions: what users can actually do inside the app: create, view, update, send, track.
• Specify who sees what: if admins, team members, and clients need different access, say so explicitly.
• Add the details that matter: specific fields, data points, or outputs your workflow depends on.

Using the agency example from step one, the prompt would look something like this:

“Build me a project management portal for a small marketing agency. Team members log in to update task statuses, log hours, and upload deliverables. Clients log in to see their project progress, shared files, and invoices — they should only see their own data. I need an admin dashboard to manage all clients and projects in one view, with the ability to add new clients and assign team members to projects.”

That’s a complete first prompt. It tells Coderick AI what the app does, who uses it, what each person sees, and what the admin needs to manage. Hand it over and you’ll have a working first version to look at in minutes. Below is the first version you’d get.

Step 3: Refine, test, and make it yours 

The first version is a draft, not the final app, and that is normal. Work through it the way a new user would, and check for four things:

• Does it complete the core workflow? The main actions you described in your prompt — can you actually complete them? Create a record, send something, update a status. Start here before anything else.
• Does the data go where you expect? Fill in a few test entries and check that information shows up in the right place, in the right view, for the right user.
• Does it match how you actually work? Generic field names, missing steps, or logic that almost-but-not-quite reflects your process — note everything that feels off.
• Does each user see the right things? If you have multiple user types, log in as each one and check that access is scoped correctly.

Then go back and refine. Adjust layouts, rename fields, add what’s missing, remove what isn’t useful. This back-and-forth is normal. Мost small business web apps get to a usable state in a few focused iterations. The goal at this stage isn’t perfection; it’s an app that fits well enough to start using, so real-world use can tell you what still needs adjusting.

In our case, such a prompt would be:

“Make a few changes to the task board. Add a priority field to each task with three options: High, Medium, and Low. Restrict the Review stage so only team leads can move tasks into it. Add a time logging option directly on each task so team members don’t have to navigate to a separate section. Highlight overdue tasks in red. Also update the color scheme — change the purple sidebar and buttons to a deep navy blue, and use a light grey-white for the background to match our brand colors.”

And here’s what happens:

Why does hosting matter for a web app?

Unlike a static website, a web app is doing things constantly: processing requests, storing data, managing user access. That means the hosting infrastructure it runs on directly affects how fast it loads, how reliably it works, and how securely it handles your data.

Coderick AI web apps are hosted on SiteGround’s own infrastructure by default, so performance, security, and uptime come with the build, not as an afterthought. Hosting setup, server configuration, and the separate hosting bill are all handled. You publish, and it’s live.

Start building the web app your business has been missing

Every web app in this guide started as a problem someone got tired of working around. A spreadsheet that got too complicated. A SaaS subscription that almost did the job. A process that worked fine until the business grew and suddenly didn’t.

Start with the thing that’s costing you the most time right now. Not a full spec, not a feature list, just that one problem. Describe it, build it with Coderick AI, and refine from there. The first version is ready in minutes. The friction point you’ve been working around is exactly where to start.

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Frequently asked questions: How to build a web app

Not long ago, creating a small business website meant either hiring a developer or losing a few weekends to tutorials, templates, and trial and error. Today, an AI website builder can turn a plain-language description into a draft website with pages, layout, design, and starter copy, without you writing any code.

This guide walks you through the full process: how AI website builders work, what a small business should check before choosing one, and how to review your site before publishing. If you’ve been putting off building a website because the process felt too technical, too expensive, or too time-consuming, this is for you.

What is an AI website builder?

An AI website builder is a tool that turns a plain-language description of your business into a working website, without requiring you to design, code, or build anything yourself. You type something like “I run a dog grooming salon in Austin, I offer bathing, haircuts, and nail trims, and I want clients to book online,” and the AI generates a homepage, a services page, an about page, a contact page, and draft copy for each.

It’s all part of a broader shift in how sites and web apps are created, known as vibe coding. This is an AI-driven software development method that replaces writing code with writing in plain language (prompting). To learn more about it, take a look at the detailed vibe coding glossary we recently prepared.

What AI handles vs. what you decide

The best results come when you treat AI as the site-structure expert and yourself as the business expert.

An AI website maker can handle the first draft: page structure, navigation, responsive design (meaning the site adapts to phones, tablets, and desktops), visual styling, and draft copy for each section. Give it your business details, and it can turn them into structured pages and editable copy.

What it can’t do is know your business the way you do. Service descriptions, pricing, customer testimonials, opening hours, return policies, legal disclaimers: anything that involves a specific fact about your business or a commitment to your customers needs to come from you. The same goes for your unique selling proposition (USP) and what makes you stand out from competitors. If you don’t provide these details, the AI will fill in the gaps with plausible-sounding content that may not be accurate, and inaccurate information on your site can cost you trust and customers.

AI website builder vs. templates vs. drag-and-drop builders

• A template builder gives you a pre-designed layout as a starting point. You browse a gallery, pick the one that looks closest to what you need, and replace the placeholders with your own content. Since templates are built for everyone, they’re built for no one in particular. You’ll likely find sections you don’t need and miss ones you do, and adjusting that takes more time than most people expect.
• A drag-and-drop builder gives you a blank canvas and a toolkit of blocks (text, images, buttons, forms, galleries) that you arrange however you like. You’re making every layout decision yourself, which requires either a good eye for design or a lot of trial and error.
• An AI website builder does something different: it generates a complete first version: the structure, the layout, and the initial content based on what you described. Instead of choosing from a gallery or dragging blocks around, you get a complete first version of a site that already reflects your type of business.

The advantage is more than just speed. You get the right structure for your type of business, you start from a nearly complete site rather than a blank page or a generic template, and the AI handles the decisions you’d otherwise have to make yourself: what sections to include, how to organize the navigation, what kind of copy fits your industry. Instead of figuring out what your site needs, you’re reviewing a version that already has it.

What does an AI website maker create after you describe your business?

Once you submit your first prompt, the AI website maker interprets it and builds a complete draft. Here’s what that typically looks like, and what to focus on first when reviewing.

The “site brief” output (what it includes)

Before generation, the AI decides on a structure: how many pages your site needs, what order they appear in the navigation, which sections belong on each page, and what visual style fits your business type. Most builders let you review or refine the structure before you start editing the details. It’s worth spending a minute here to make sure the overall shape is right before you get into the copy.

Typical pages (home, services, about, contact, policy)

Most AI-generated small business sites include five core pages, though the specifics shift depending on your site type:

• Homepage: A headline, a short description of what you do, and a primary call to action. A plumber’s might lead with “Licensed plumbing repairs in Portland” and a “Request a quote” button. A restaurant’s might feature the cuisine type and “View menu.”
• Services or menu page: What you offer, organized by category. A salon lists haircuts, coloring, and treatments. A restaurant lists starters, mains, desserts, and drinks with prices.
• About page: Your story, credentials, and why customers should trust you.
• Contact page: Phone, email, address, a contact form, and (for local businesses) an embedded map.
• Policy pages: Privacy policy, terms of service, and (for stores) return and shipping policies. The AI generates plausible versions if you don’t give it information in your first prompt, but these need to reflect your actual terms before you publish.

Whatever the structure, it’s usually your starting point. Every page can be adjusted, reordered, or expanded through chatting with the AI builder. For guidance on organizing these pages well, SiteGround’s website structure guide covers the principles behind effective site architecture.

Copy you should check first

The AI writes with confidence, even when details are incomplete, which is exactly the problem with certain sections. A few areas need your attention before anything else:

• Pricing and rates: If you haven’t included them in your initial prompt, the AI may invent plausible numbers. Swap in your actual rates.
• Guarantees and timelines: The AI might have added generic statements like “Satisfaction guaranteed” and “delivered in 48 hours.” But those are actual commitments. If you didn’t make them, they shouldn’t be on your site.
• Legal claims: Anything involving licensing, insurance, certifications, or regulatory compliance needs to come from you, not from generated text.
• Testimonials: If the AI produced sample reviews, replace them with genuine ones. Fabricated testimonials damage trust quickly and may violate advertising regulations.

Which types of business websites can an AI site builder create?

An AI website builder can create almost any type of business site. However, four site types come up most often for small business owners, and knowing which one fits yours helps you write a sharper first prompt and get a better first draft.

Service business site

If you’re a plumber, consultant, photographer, personal trainer, or any professional who sells expertise or hands-on work, your site needs to do three things: explain what you offer, build trust, and give visitors a clear way to get in touch or book.

Visitors want to quickly understand what services you provide, see evidence that you’re good at what you do (testimonials, portfolio, credentials), and take action without hunting for a phone number or contact form. That usually means a homepage, a services page, an about page, a contact page, and a testimonials or portfolio section.

Example prompt you can start with:

“Build a website for a [your profession, e.g., interior designer] based in [your city]. The business offers [list your main services, e.g., residential consultations, full-room redesigns, and color/material sourcing]. The site should clearly explain what I do, who I work with, and make it easy for potential clients to get in touch. Include a homepage with a strong headline and a ‘Request a consultation’ button, a services page with a section for each service, an about page with my background, and a contact page with a form. Use a clean, modern style with a professional feel.”

Here’s what Coderick AI builds from that prompt (and you can keep refining it from there).

Local business site

If you run a bakery, a barbershop, a dental clinic, or a repair shop, your visitors usually have one question first: where are you and when are you open? Local business sites are similar to service sites but put much more emphasis on physical presence: embedded maps, directions, local phone numbers, and neighborhood-specific language that helps you show up in local search results.

A restaurant, for instance, needs a menu page with items and prices organized by category (starters, mains, desserts, drinks), an hours-and-location section with a map, and a reservation or ordering option. A salon needs a list of treatments with pricing, photos of the space, and a way to book an appointment.

Example prompt you can start with:

“Create a website for [business name], a [business type, e.g., family-run Italian restaurant] in [your city]. The site should make it easy for local customers to see the menu, check opening hours, and book a table. Include a homepage with a hero image and a ‘Book a table’ button, a menu page with sections for starters, mains, desserts, and drinks (each item with name, description, and price), an hours-and-location page with our address and an embedded map, and a contact page. Design it to feel warm and inviting, with a good mobile experience.”

Single-offer landing page

If you’re launching one product, running a seasonal promotion, or collecting sign-ups for a workshop, you need a single focused page with one clear call to action. (A “call to action” is the button or link that tells visitors what to do next, like “Book now” or “Sign up.”) Landing pages strip away navigation distractions and focus the visitor on a single decision. They work well for product launches, event registrations, limited-time offers, and lead-generation campaigns where you want every visitor’s attention on one thing.

Example prompt you can start with:

“Build a landing page for [your offer, e.g., ‘a weekend pottery workshop on June 14 in Austin, $120 per person’]. The page should open with a strong headline, explain what attendees will learn and take away, show the date, location, and price clearly, and include a ‘Sign up now’ button as the main call to action. Add a section for 2-3 testimonials from past attendees and a short bio of the instructor. Keep the design focused, with no navigation menu. Make it mobile-friendly.”

Small store

If you sell a handful of products (handmade candles, custom T-shirts, specialty coffee beans), you need product listings, a cart, and a checkout flow. Customers need to see what you sell with clear photos and descriptions, understand pricing and shipping, and complete a purchase without leaving your site. An AI website maker can generate a small online store with product pages, pricing, and basic ecommerce structure. Some AI builders even support integrations with trusted payment systems: for example, you can add a Stripe checkout to anything you build with Coderick AI right in the chat.

This works well for stores with modest catalogs and straightforward shipping. For larger catalogs, complex inventory management, or advanced shipping rules, a dedicated ecommerce platform like SiteGround Ecommerce is a better fit.

Example prompt you can start with:

“Build an online store for [your brand name]. I sell [your product types, e.g., ‘handmade soy candles in three sizes: travel, classic, and large’]. Create a homepage that showcases featured products, a product catalog page with categories, individual product pages with photos, descriptions, and prices, and a cart and checkout flow. Include a shipping and returns policy page. Use a clean, minimal design that puts the products front and center.”

Here’s how SiteGround’s Coderick AI uses this prompt to generate a draft website you can then perfect:

Quick reference

Site type	Best for	Must-have sections
Service business site	Consultants, photographers, trainers, contractors	Home, services, about, contact, testimonials
Local business site	Restaurants, salons, clinics, repair shops	Home, menu or services, hours and location, contact, reviews
Single-offer landing page	Product launches, workshops, seasonal promos	Hero section, offer details, one call to action, social proof
Small store	Handmade goods, specialty food, small product lines	Home, product listings, cart, checkout, shipping and returns policy

When an AI website builder is not the right choice

AI website builders are the right tool for most small business sites and among the fastest ways to create a publishable first version. But not every project fits that mold, and it’s worth knowing where the boundaries are before you start.

• If you need a large ecommerce catalog with hundreds of products, complex inventory rules, or advanced shipping logic, a dedicated ecommerce platform will give you more control. SiteGround Ecommerce is built for exactly that.
• If you need custom integrations with niche software (medical records systems, real estate MLS feeds, enterprise resource planning), a developer is still the way to go.
• If you need pixel-level control over every design element, a drag-and-drop builder or a fully custom design gives you more precision.

The honest question to ask yourself: does my site need to do something that a typical small business site doesn’t? If the answer is yes, check whether the builder supports it before committing your time.

No-code website builder checklist: features that matter for small businesses

For small businesses, the best no-code website builder is not the one with the longest feature list. It is the one that lets you create, edit, publish, and maintain the site without needing technical help every time something changes.

Not every no-code website builder gives you the same level of control, publishing support, or business features. Before you invest your time in any platform, check for these five things. They’re the difference between a tool that produces a publishable business site and one that produces a demo you can’t actually use.

Editing control (layout, sections, styles)

Once the AI generates your site, the editing experience is what separates a useful tool from a frustrating one. It should be easy for you to rearrange sections, edit text, swap images, adjust colors and fonts, add or remove pages. Some builders like Coderick AI give you a combination of chat and easy-to-use visual editors for this. Others let you make changes only through the chat interface, where you describe what you want (“make the header darker,” “add a page for the team”) and the AI updates accordingly.

Whatever the method, the test is simple: can you make changes freely after the AI generates your site?

Business blocks (forms, booking, store)

A business site without a way for customers to reach you is just a brochure. Make sure the builder supports contact forms, appointment booking or scheduling (if your business takes appointments), and product listings with cart and checkout (if you sell goods). In many AI builders, you can describe the functionality you need (“add a booking form for consultations” or “add a product page with an add-to-cart button”) and the tool generates it.

Some of these features need a database behind them to store submissions, bookings, or orders. In some builders, like Coderick AI, the database is set up automatically. In others, you’ll need to configure it yourself, which would require some additional technical steps.

SEO controls (titles, descriptions, alt text)

SEO stands for search engine optimization. It’s the set of things you do so that when someone searches Google for what you offer, your site shows up. Here are the basics:

• Page titles (also called “title tags”): The clickable headline that appears in search results. Each page needs a unique, descriptive one.
• Meta descriptions: The short summary below the title in search results. A good meta description tells the searcher why they should click.
• Image alt text: A short written description of each image. Search engines can’t see images the way we do; alt text tells them what’s in the picture. It also helps make your website more accessible for visitors who use screen readers (software that reads web content aloud for people with visual impairments).

Most AI website builders generate these automatically, but the defaults tend to be generic. Take a few minutes to rewrite any that don’t match how your customers actually search. “Best bakery in Savannah” is more useful for Google searches than “Welcome to our homepage.” For ecommerce-specific SEO, SiteGround’s ecommerce SEO guide covers the fundamentals.

Mobile and speed basics

Over half of all website visits now come from mobile. A “responsive” site adjusts its layout automatically to fit whatever screen it’s viewed on. Most modern builders generate responsive layouts by default, but that doesn’t mean the result is perfect on every device. You still need to check font sizes, button spacing, and form usability on an actual phone before you publish.

Speed matters just as much. If your site takes more than three seconds to load, a significant share of visitors will leave before they see anything. Builders like Coderick AI include hosting, which removes separate server setup and gives your site a managed publishing environment. Builders that only export code leave you to figure out hosting, server configuration, and optimization on your own.

Domain, hosting, SSL

Three terms that sound technical but are simpler than they seem:

• Domain: Your web address, like “yourbakery.com.” You register it through a domain registrar and point it at your site.
• Hosting: The server where your website files live. When someone types your domain into a browser, the hosting server delivers your site to their screen. Think of the domain as your street address and hosting as the building at that address.
• SSL certificate: A security layer that encrypts (scrambles) data between your site and your visitors so nobody else can read it. Sites with SSL show “https” instead of “http” in the address bar. SSL protects sensitive information like form submissions and payment details, and search engines rank sites with it more favorably.

Some builders require you to set these up separately, while others (like Coderick AI) bundle everything together. This all-in-one approach is usually the best fit for non-technical owners, because there’s nothing to configure and nothing to forget.

Quality checks before you publish a business website

If you’re one click away from publishing, hold your horses and spend five more minutes on these checks. They prevent the most common post-launch headaches and make sure your first visitors see a polished, working site.

Forms and booking tests (send, receive, reply)

Submit every form on your site yourself. Send a test message through the contact form and confirm it arrives in your inbox. If you have a booking widget, complete a test booking. If you accept payments, run a test transaction. “I didn’t know my contact form wasn’t working” is the single most common complaint after launch, and it’s completely avoidable.

Mobile check (spacing, tap targets)

Open your site on your actual phone, not the browser’s mobile preview. Tap every button. Scroll through every page. Check that text is readable without zooming, that buttons have enough spacing so you don’t accidentally tap the wrong one, and that images load without breaking the layout.

Trust signals (reviews, address, policies)

Trust signals are the elements that tell a visitor they’re dealing with a legitimate business:

• A physical address or service area
• A phone number
• Genuine customer reviews or social proof
• Business licenses or certifications, if applicable
• A privacy policy and terms of service

The AI may have generated placeholder text for some of these. Tell it to replace every placeholder with your actual information before you go live.

Basic SEO pass (titles, one H1, indexable pages)

Before launch, run through these four checks. Most AI builders let you review and edit SEO settings for each page through a settings panel, or you can simply ask the AI to review them for you.

• Each page has a unique title tag that describes what the page is about. The title tag is what appears as the clickable headline in Google results. “Plumbing repair in Portland, OR” works. “Page 1” doesn’t. You can usually find and edit title tags in your builder’s page settings or SEO section, or ask the AI: “Show me the title tags for all pages.”
• Each page has exactly one H1 heading. The H1 is the main title of the page, like the headline of a newspaper article. Having more than one confuses search engines about what the page is actually about. To check, ask the AI: “Does any page have more than one H1 heading? If so, fix it.”
• All pages are set to indexable. This means search engines are allowed to find and show them in results. Most builders enable this by default, but you can confirm by looking for an “indexing” or “search engine visibility” toggle in your page or site settings. If you’re not sure where to find it, ask the builder: “Are all my pages set to indexable?”
• Your images have descriptive alt text. Alt text is a short written description of what the image shows. Instead of “IMG_4392.jpg,” something like “freshly baked sourdough loaves on a wooden counter” helps search engines understand the image and makes your site more accessible. You can usually edit alt text by clicking on an image in your builder’s editor, or ask the AI: “Add descriptive alt text to all images on the site.”

Ten minutes here gives your site a baseline for search visibility. For the full planning process, SiteGround’s website planning guide walks through everything from goals to launch.

From prompt to live: how it all comes together in Coderick AI

Generating a website and publishing it are two very different problems. Most AI builders solve the first one and leave you to figure out the second: finding hosting, configuring SSL, setting up a database, connecting a domain. By the time you’re done, you could have paid for three separate services and spent an afternoon on setup.

That’s exactly why SiteGround built Coderick AI as a complete platform that takes you from prompt to live, not just a builder. With Coderick AI, you build, edit (by chatting and by making visual edits), and publish in a single environment. Every plan includes premium hosting built directly into the platform, automatic database setup and configuration, ultrafast performance backed by SiteGround’s infrastructure (the same systems that serve millions of websites), and custom domain support on all paid plans.

Connect domain and go live (what “publish” means)

When you click “Publish” in Coderick AI, your site goes live instantly. It’s hosted on SiteGround’s infrastructure with SSL already active, the database already configured, performance already optimized, and responsive by default (meaning your site will look right on phones, tablets, and desktops without any extra configuration).

You connect your custom domain through the dashboard, and the site becomes publicly accessible. There’s no separate hosting account to set up, no server to configure, no certificate to install. If you don’t have a domain yet, you can register one through SiteGround and connect it in the same workflow.

If you’ve been putting off building a website because the process felt too technical, too expensive, or too time-consuming, an AI website builder removes those barriers. Describe what your business does, review what the AI builds, adjust the details that matter, and go live.

FAQs

WordPress 7.0 is the biggest WordPress update in years. Among the headline features is something that’s caught a lot of attention: built-in AI infrastructure (an AI Client, a new Connectors screen, and an Abilities API with an MCP Adapter) so WordPress plugins can use AI services in a consistent, standardized way.

But what does this all really mean? This guide breaks down what WordPress 7.0’s AI capabilities do and what SiteGround has built so you can start getting real value from AI on your site and your business today.

The AI problem WordPress 7.0 is solving

Until WordPress 7.0, there was no common system for how AI worked inside WordPress. If you wanted AI features on your site, every plugin handled it differently. An AI writing tool connected to one AI service with its own API key (a unique credential that lets the plugin communicate with the AI provider). An AI SEO plugin connected to a different service with a different key. An AI image generator needed yet another setup.

If you were running all three, you were managing three separate sets of credentials in three separate settings panels, often paying for overlapping subscriptions. None of those tools could share anything with each other. For plugin developers, it was duplicated work: every team building the same connection infrastructure from scratch. For you, it was messy, expensive, and fragmented.

WordPress 7.0 solves this by building a shared AI layer directly into core (the base software that powers every WordPress site). Three components work together to make it happen:

• The AI Client is a native AI infrastructure layer built directly into WordPress core. It creates a standardized interface for connecting AI providers, so plugins and themes can tap into AI through a single consistent framework. Before this existed, every plugin that wanted to use AI had to build its own connection code for each AI service it supported. Now a plugin simply asks WordPress for what it needs (generate text, create an image), and WordPress routes that request to whichever provider you’ve connected.
• The Abilities API and MCP Adapter work on two levels. First, they help WordPress know what each connected AI provider can do (text generation, image generation, and so on), so requests get routed to a provider that can handle them. Second, they keep a registry of what your WordPress site itself can do: create posts, manage users, update settings, and other actions that plugins and themes register as available capabilities. The MCP Adapter (which stands for Model Context Protocol) translates all of this into a format that AI tools can discover and work with.
• The Connectors screen is where you manage all of this. It’s a new page in your WordPress dashboard (Settings → Connectors) where you can see which AI providers are available, connect new ones, and manage your credentials in one place. No more hunting through individual plugin settings to find where your API key went.

What you can do now

So WordPress 7.0 turns AI from a scattered, plugin-by-plugin experience into a platform-level capability. But what does that change for your workflow?

You can add AI to your WordPress site without any technical expertise

Until now, using AI with WordPress meant either hiring a developer to wire up integrations or bouncing between external tools and your editor, copying and pasting back and forth. The new Connectors screen (under Settings → Connectors) makes this dramatically simpler: available AI providers appear as visual cards. You pick one, paste your API key, and compatible plugins on your site can start using AI immediately.

To get your API key, you create an account on the provider’s website (such as platform.openai.com for OpenAI), navigate to their API or developer section, and generate a key. You then copy that key and paste it into the provider’s card on the Connectors screen. That’s the entire setup for most providers.

Three providers are featured by default on the Connectors page: OpenAI, Google Gemini, and Anthropic Claude. If you choose to proceed with any of these, you need to activate their plugin.

Beyond these three, the system is open: community-built providers can be added from the same page. Each one requires you to install its provider plugin and enter your own API key.

For SiteGround customers: If your WordPress site is hosted on SiteGround, there’s a fourth option on the Connectors page — SiteGround AI, already installed and connected. The authentication is handled automatically through your SiteGround account (no need to paste an API key), so it appears in Connectors as already active.

You get 20,000 free AI tokens monthly and no separate AI billing to track.

If your site is hosted elsewhere, it’s a quick one-time setup. You will get 14 days of free service.

You can use one shared AI connection instead of managing credentials in every plugin

The practical payoff of the Connectors setup becomes clearer when you use AI-powered plugins on your site. An SEO plugin that generates meta descriptions, a content tool that helps with writing, an image plugin that creates visuals: in the old world, each of these would need its own AI subscription, its own credentials, its own billing. With WordPress 7.0, they all share the provider you’ve already connected. Install a new AI-compatible plugin, and it works immediately, no additional accounts or API keys required.

What this means in practice:

• Lower costs. Instead of paying three AI services for three plugins, you pay one provider that powers all of them.
• Easier switching. If a better or cheaper provider appears, you change it once in the Connectors screen and every plugin on your site picks up the new connection automatically.
• Better plugins over time. Developers no longer need to build their own AI integration from scratch. They can rely on what WordPress provides natively, and focus on what their plugin actually does instead of reinventing credential management and API plumbing.

You can choose the AI provider that fits your needs, and change it later

WordPress 7.0 doesn’t lock you into a single AI service. You can connect multiple providers, and WordPress will figure out which one to use for each task. Through the Abilities API, each provider registers the types of requests it can handle. When a plugin needs AI, WordPress checks your connected providers and routes the request to one that supports it.

That flexibility comes with some things worth understanding before you choose:

• Costs aren’t always obvious upfront. AI services bill based on “tokens” (roughly a word or part of a word). You use tokens for both your request and the AI’s response. But the price per token varies not just between providers, but between models within the same provider. A more capable model costs more per request, and those costs can add up across plugins that make frequent AI calls. It’s worth checking your provider’s pricing page before you connect.
• Multiple providers means multiple accounts. Each one has its own API key, its own billing, and its own dashboard to monitor. If you’re connecting two or three providers for different capabilities, you’re managing two or three separate relationships.
• Not every provider can do everything. For example, Anthropic Claude handles text generation but not images. If you ask for an image and Claude is checked first, WordPress will see that it can’t handle the request and pass it to a provider that can. That routing is automatic, but only if you have a second provider connected that supports the capability you need.

You can generate text and images inside the editor

Before WordPress 7.0, using AI with your site usually meant going to a separate tool like ChatGPT, Claude, or Gemini, generating content there, and pasting it back into your editor. WordPress 7.0 changes that. With a provider connected, you can install plugins that use the shared AI infrastructure to bring content generation directly into your WordPress workflow. You can have, for example, a “Generate Image” button in your Media Library:

Several options already exist, including the official WordPress AI plugin. The capabilities that compatible plugins currently offer center on content creation: generating and editing text, creating images from prompts, producing alt text for accessibility, writing excerpts, and summarizing long-form content. All of this happens inside the block editor and Media Library, so you stay in your workflow instead of switching between tools.

The provider you’ve connected in Settings → Connectors is the one powering these features behind the scenes, so your choice of provider affects the quality, speed, and cost of what you get in the editor.

If your primary need is help writing blog posts, generating images, or adding alt text to your media, the combination of a provider and a compatible plugin gets you there. For the broader work of making AI useful for your whole WordPress site, though, there’s more to the picture.

You can take the use of AI to the next level and incorporate it into your site maintenance workflow

Content creation is one part of running a WordPress website. Then there’s everything else: managing plugins, handling products and orders, organizing users, auditing SEO across hundreds of pages, keeping multiple sites in sync. That operational work eats hours every week, and it’s the part that plugins focused on in-editor generation don’t address.

This is what the SiteGround AI Agent for WordPress is built for. When you connect SiteGround AI as your AI provider in WordPress 7.0, it powers the standard editor capabilities that any provider can handle, but it also activates the AI Agent. The Agent executes tasks across your entire site through a simple chat conversation. You describe what you need in plain language, and it does it. You also don’t need to jump across the admin — the chat conversation is persistent across screens and is able to serve all needs, including text and image generation.

This is possible because the AI Agent by SiteGround plugin connects directly to your WordPress installation, giving the AI Agent for WordPress access to your plugins, products, users, and settings. A standalone AI provider like OpenAI or Anthropic can generate text or images when asked, but it has no way to reach into your site and act on it. The Agent can, because it’s connected at the site level through the plugin.

What’s more, you can activate the AI Agent by SiteGround plugin for multiple WordPress instances and manage them in bulk from a single chat, located in the SiteGround AI Agent dashboard.

For SiteGround-hosted sites, that connection is set up automatically. For sites hosted elsewhere, you get the same access after installing the plugin and connecting it.

Try it on your site

When you update to WordPress 7.0, connect SiteGround AI as your AI provider and let the AI Agent for WordPress help you with the content, the products, the plugins, the SEO, and the daily site maintenance that eats up your time. You’ll be surprised how much of your WordPress workflow fits into a single chat.

FAQs