Pages, navigation, and responsive behavior
Check the important routes, menus, buttons, layouts, breakpoints, 404 behavior, and the paths a real visitor needs to complete.
AI-built website cleanup
Direct help from a developer
AI-Built Website Checker and Cleanup
AI built your website, or helped you build it, and now you need to know what actually works. The Web Guy checks AI-created websites for broken layouts, forms, tracking, search basics, integrations, performance, deployment risk, and maintainability, then can clean up the agreed problems without automatically rebuilding everything.
Free quote. Scope and cost agreed before paid work begins.
AI-built website cleanup fit
When AI-built website cleanup makes sense
This is for site owners, founders, marketers, agencies, and builders who used AI to move faster but now need a real web developer to review the output, fix the fragile parts, connect missing systems, and make the site safer to launch or keep editing.
- ChatGPT or Codex helped build it, but now errors are piling up.
- Lovable, Bolt, Replit, Cursor, v0, or another AI builder produced something close but not finished.
- The site works locally but breaks after deployment.
- The page looks okay but forms, tracking, routing, schema, or SEO basics are missing.
- The code is hard to edit because the structure is confusing.
- The app or site has environment variable, API, database, auth, or deployment issues.
- The site feels slow, fragile, bloated, or risky to keep changing blindly.
- You need someone technical to review what AI generated and make it safer, cleaner, and more maintainable.
A focused first step Check My AI-Built Site
Send the URL and tell me about pages, navigation, and responsive behavior. Include what should happen instead and any deadline or recent change that matters.
Check My AI-Built Site→An AI-built website checker should separate review from implementation. For a scoped pre-launch findings pass, start with AI Website QA. Cleanup work often starts with Website Fixes, then pulls in Production Debugging, Analytics & Tracking, or API & Integrations depending on what the generated site skipped.
If the AI-generated page looks close but is not launch-ready, compare Technical SEO Implementation, Site Speed, and Cloudflare / DNS / SSL before pushing more changes blindly.
When this work starts from a visible symptom, the troubleshooting path may look more like AI-built website not ready to launch, CSS and JavaScript website bugs or website data not connecting before it becomes a clean service request.
AI cleanup proof
Proof of cleanup work across generated code, launch details, and messy site handoffs
AI-built site cleanup fits the same production reality as the rest of the site: the output may be close, but forms, routing, SEO, tracking, performance, deployment, and maintainability still need judgment.
- Generated-code review Worked with AI-assisted code, Svelte/SvelteKit, React-style front-end work, JavaScript, APIs, environment variables, and production debugging paths where the generated output needed human review.
- Launch readiness Connected fast builds to metadata, schema, sitemap and robots support, internal links, form flow, GA4/GTM tracking, deployment checks, and practical UX review.
- Cleanup mindset Handled the same fragile layers AI-built sites often expose: broken layouts, missing edge cases, heavy assets, routing problems, API handoffs, and code that needs to be easier to edit.
Working with AI-generated changes?
Put a Review Gate Before Launch
Use a focused checkpoint to catch fragile generated code, missed launch details, and repeat failures before the next release.
One practical checkpoint
Review what changed. Test what matters.
- Inspect generated or AI-assisted changes
- Test the critical launch paths
- Turn findings into a scoped fix list
AI-built website cleanup scope
What an AI-built website checker should actually check
Forms, leads, and connected systems
Follow the full path from validation and success states to email, CRM, webhook, database, or another destination instead of stopping at a green message.
Search and sharing basics
Review titles, descriptions, headings, canonicals, schema, sitemap and robots behavior, internal links, crawlable copy, and social sharing metadata.
Browser errors and production behavior
Look for failed requests, console errors, missing environment variables, local-versus-live differences, redirects, host assumptions, and deployment failures.
Accessibility and interaction
Check labels, keyboard flow, focus states, contrast, button behavior, readable structure, dialogs, and practical mobile usability.
Performance, security, and maintainability
Identify oversized assets, duplicate code, risky generated snippets, exposed values, brittle dependencies, and structures that make the next edit unnecessarily dangerous.
AI-built website cleanup scope
AI-built website examples I can review
AI-built WordPress websites
Generated themes, page-builder output, custom snippets, plugin interactions, forms, templates, and WordPress sites that became fragile after repeated prompted edits.
AI-built Shopify storefronts
Generated Liquid, theme sections, product and collection templates, storefront scripts, tracking, apps, and conversion paths that need human review.
ChatGPT or Codex-built websites
HTML, CSS, JavaScript, Svelte, React, static sites, and repository-based projects that are close but need debugging, structure, testing, or launch cleanup.
Lovable, Bolt, Replit, Cursor, and v0 projects
Generated apps and prototypes with routing, auth, database, API, environment, deployment, or maintainability gaps.
AI-designed marketing pages
Landing pages and service pages that look polished but still need accessible interactions, lead-flow checks, analytics, metadata, schema, and real responsive QA.
Existing sites extended with AI
Established WordPress, Shopify, ecommerce, or custom sites where an AI-generated feature or code change needs to fit the system already in production.
AI-built website cleanup scope
What AI-built sites usually need cleaned up
01 / 12AI-built site cleanup focus
Broken layouts and responsive issues
A page can look finished on one screen and fall apart on another. Conflicting styles can leave text overlapping, images distorted, or important controls outside the visible area.
Signs this needs attention
- Text or buttons overlap.
- Mobile visitors must scroll sideways to reach content.
- Images stretch or sections leave unusually large gaps.
What gets checked
- Reproduce the problem at the affected screen sizes, including open menus and longer content.
- Trace conflicting styles, fixed dimensions, positioning rules, and hidden overflow.
- Check image proportions, spacing, and content visibility at different zoom levels.
Practical outcome
The repair focuses on readable content and usable controls across the screen sizes and states tested.
AI-built website cleanup tasks
Common vibe-code failure patterns
Looks done but cannot launch
The page appears polished, but routing, forms, tracking, metadata, hosting, or environment variables are incomplete.
Works locally but breaks live
Local preview works, then deployment fails because build settings, env vars, API URLs, redirects, or host assumptions are wrong.
Forms do not create leads
Generated forms may validate in the UI but fail email delivery, CRM handoff, webhook payloads, spam protection, or success-state tracking.
Auth, database, or API assumptions are fragile
AI-generated code can mix client-side assumptions, missing error handling, exposed values, or incomplete endpoint behavior.
SEO basics are missing
Generated pages often skip useful titles, descriptions, canonical behavior, schema, sitemap routes, internal links, headings, and crawlable content.
Code keeps getting harder to change
Prompted edits can duplicate components, create dead files, add conflicting styles, and make future updates riskier than they need to be.
Where human review matters
AI can build fast. Cleanup still takes judgment.
AI tools are useful for momentum, prototypes, landing pages, and fast builds. Production cleanup tests the assumptions that generated output leaves behind.
What AI is good at
- First drafts and prototypes
- Layout and component scaffolding
- Repetitive code and content structure
- Getting an idea into a working preview
What cleanup adds
- Real forms, lead delivery, and error states
- Routing, metadata, schema, sitemap, and redirects
- Accessibility, mobile behavior, and performance
- Environment, security, maintainability, and deployment checks
Practical outcome
Keep the useful momentum. Replace untested assumptions with evidence and a safer release path.
Built across different stacks
AI tools this work can support
The useful question is not which logo made the first draft. It is which layers now need to work together.
AI builders and coding assistants
ChatGPTCodexLovableBoltCursorReplitv0GitHub Copilot
Frameworks and front ends
SvelteReactJavaScriptStatic sites
CMS and commerce
WordPressShopifyWooCommerce
Delivery and connected systems
APIsDatabasesAuthHostingDeployment platforms
This is practical cleanup for AI-assisted website work, not official platform support or a partnership claim.
A useful first message
Send the URL and what feels broken
You do not need to diagnose everything first. A useful handoff gives enough context to reproduce the problem and choose the safest first step.
- 01
Public URL
The page or route where the problem is visible.
- 02
Expected result
What a visitor, editor, or connected system should be able to do.
- 03
Current symptom
What happens instead, including screenshots or error text if useful.
- 04
Build context
Repo or builder link, the AI tool used, and the platform or framework.
- 05
Launch context
Anything known about hosting, deployment, environment values, or recent changes.
AI-built website cleanup in practice
From a visible symptom to a verified fix
A useful request starts with what is happening. The investigation finds the responsible layer before the repair is agreed and tested.
What’s happening on your site?
- A visible part of the site stopped working or behaves differently for some visitors
- A form, checkout, admin screen, layout, integration, or tracked action is failing
- The problem appeared after an update, deployment, content change, or cache rebuild
What I investigate
Recent changes, server and PHP errors, browser console and network failures, plugin or theme interactions, cache layers, hosting behavior, and external integrations, as relevant to the symptom.
How the work proceeds
Each step narrows uncertainty before more changes are made.
- 1 Reproduce
- 2 Isolate
- 3 Agree
- 4 Repair
- 5 Retest
What you receive
A diagnosis, the agreed changes, verification results, unresolved dependencies, and a plain completion note that explains what changed and what still needs attention.
What to send first
The affected URL, expected versus actual behavior, when it started, recent changes, a screenshot or screen recording, and whether admin or hosting access still works.
Relevant Web Fixes
Actual troubleshooting example
A related work note that shows the problem, the change made, and what was checked afterward.
Cleaned Up an AI-Built Page So It Was Easier to Use and Maintain
- Symptom
- The generated page worked in pieces, but the structure, mobile layout, headings, internal links, and reusable sections needed cleanup before it felt maintainable.
- Evidence
- Heading hierarchy
- Change
- Simplified the page structure around the main visitor task
- Verified result
- The page kept the useful parts of the generated output while becoming easier to scan, edit, and connect to the rest of the site.
AI-built website cleanup fit and limits
What AI-built website cleanup includes, and where the limits are
This is practical contract execution. The Web Guy can inspect the site, make changes, troubleshoot issues, explain tradeoffs, and keep work moving. Some problems depend on hosting, platform limits, third-party tools, access, business requirements, or existing code quality.
- Clear hourly rate or project price
- Plain updates
- No fake guarantees
- No unlimited flat-fee work
- No pretending every issue is simple
Check My AI-Built Site
Send the URL and tell me about pages, navigation, and responsive behavior. Include what should happen instead and any deadline or recent change that matters.
FAQ
AI-built website cleanup questions
What does an AI-built website checker review?
A useful check follows the important user paths and looks at responsive layouts, navigation, forms and lead delivery, browser errors, tracking, search basics, accessibility, performance, integrations, deployment behavior, and maintainability. The exact checklist should match the site and the agreed scope.
Can you check an AI-built website for free?
The first quote is free. Send the public URL and describe what concerns you. I can use that context to scope the work, but a detailed audit, repository review, private-system check, or hands-on diagnosis is paid work only after we agree on the scope and cost.
Can you fix a website built with ChatGPT or Codex?
Yes. AI-assisted sites can be reviewed and cleaned up when the URL, repo, generated files, or builder context are available.
Can you clean up an AI-built WordPress website?
Yes. The review can cover generated theme or plugin code, page-builder output, custom snippets, forms, templates, responsive behavior, performance, SEO basics, and conflicts with the existing WordPress setup.
Can you clean up an AI-built Shopify website?
Yes. Shopify work can include generated Liquid, theme sections, storefront scripts, product and collection templates, tracking, app interactions, responsive issues, and conversion-path cleanup.
Can you clean up a Lovable, Bolt, Cursor, Replit, or v0 project?
Yes. These are common AI-built website examples. The work can include layout fixes, routing, deployment, auth, forms, tracking, SEO basics, API or database connections, and maintainability improvements.
What should I send before you look at it?
Send the URL, repo or builder link if available, what tool helped build it, what should happen, what is happening instead, and any deployment or environment notes.
Can you make an AI-built site faster?
Often, yes. Generated sites can carry oversized assets, duplicate scripts, unused code, layout shift, and bundle weight that can be reviewed and cleaned up.
Can you add tracking, forms, schema, or SEO basics?
Yes. GA4/GTM tracking, form flow, metadata, schema, sitemap support, robots rules, internal links, and launch checks are common cleanup tasks.
Can you help if I do not understand the code AI generated?
Yes. You do not need to diagnose the code first. Send what you have and the visible problem, and the first step is to identify the safest cleanup path.
Do you rebuild everything from scratch?
Not by default. The first move is to inspect what exists, keep what is useful, and clean up the parts that are fragile, missing, broken, or risky.