AI App Review & Repair · Vibe coding rescue

AI app review and repair.
Start with one broken workflow.

AFK³ Solutions (AFKCube) helps founders, businesses and small agencies diagnose and repair AI-built web apps. Bring one broken workflow, failed integration or blocked launch. We reproduce the problem, explain the cause and deliver tested fixes within an agreed scope. About AFK³ Solutions and our public work →

Discuss an App Review

Start with a fit discussion. Diagnosis is a paid, bounded engagement agreed before work begins.

When we can help

A working screen is only the beginning.

You can keep using AI to build. Bring us the specific problem that needs engineering attention.

01 / WORKFLOW

It looks finished, but a task breaks.

A form does not save, records are inconsistent, or the next step fails. We trace the agreed task through its interface and backend.

02 / INTEGRATIONS

The pieces do not work together.

An API, sign-in flow or data connection needs repair. We confirm platform access and stack fit before accepting the work.

03 / LAUNCH

You need evidence before relying on it.

Review critical user journeys, error states, deployment configuration and recovery arrangements within an explicitly agreed assessment.

A defined starting point

Understand the problem before committing to repairs.

01 / PAID DIAGNOSIS

Know what needs attention.

Agree on one workflow, access, investigation budget and deliverables. Receive reproduced findings, evidence, priorities and a repair recommendation you can take to another developer.

02 / REPAIR SPRINT

Fix the agreed problems.

Approve scope, price and acceptance checks after diagnosis. Receive reviewable code changes, regression checks and a clear account of what was fixed and what remains.

03 / OPTIONAL SUPPORT

Agree on who handles the next issue.

Define maintenance tasks, supported systems, hours and response expectations separately. Ongoing support is optional and is not unlimited or automatically included.

Your diagnosis package

One workflow. Evidence you can use.

A short fit discussion confirms the app, stack, business impact, deadline and authorized access. We then agree in writing on the investigation time limit, price and tested environment before paid work begins.

The investigation can end with a recommendation to repair, replace a component or stop investing. It does not guarantee that every issue can be fixed within the diagnosis.

What you receive

  • The agreed workflow, expected result and reproduction steps.
  • Observed findings with supporting evidence and business impact.
  • Confirmed causes where established, with unknowns clearly identified.
  • Prioritized next steps, acceptance checks and remaining limits.

Implementation is quoted separately. You can take the findings to another developer.

Inspect our internal repair example →

Illustrative scope

“The form says saved, but the record is missing.”

This is a scoping example, not a customer case or a claim about every AI-built app.

How we would check the repair

Reproduce the missing record using demonstration data, identify the cause, and agree on a fix. Verify that the record persists after reload, failures show a useful message, and repeated submission behaves as agreed.

The review records its tested environment and remaining limits. Broader launch approval requires a separately agreed set of checks.

Before you book

Questions about an AI-built app review

What does AFK³ review?

AFK³ Solutions reviews a defined workflow in an existing AI-built web app. Diagnosis follows the task through its interface, backend and relevant integrations, records reproducible findings, and recommends the next step. Platform and repository access must be confirmed first.

How much does diagnosis cost?

Diagnosis is paid. We agree on the workflow, investigation budget and deliverables before starting. There is no universal price listed here: access, reproducibility and scope determine the quote. Repair is priced separately after diagnosis.

Should I repair or rebuild?

That depends on the cause, platform constraints and remaining work. Diagnosis can recommend a focused repair, a replacement component or stopping investment. It does not assume that a complete rebuild is necessary.

Can I use another developer afterward?

Yes. The diagnosis includes findings, evidence, priorities and a repair recommendation you can take to another developer. You do not have to buy a repair sprint or ongoing support.

Do you need private customer data?

Start with screenshots or a recording without private records. Use demonstration data and owner-authorized access in an isolated environment for investigation. Do not send credentials or customer records through the inquiry form.

Does a review certify the app for launch?

No. Findings apply to the agreed scope and tested environment. Security certification, compliance sign-off and a guaranteed launch date are not part of this review. Acceptance checks and deployment responsibilities are agreed explicitly.

Our own engineering example

A source tag could interrupt an inquiry.

This is an internal AFK³ website repair, not a customer case or a measured sales result.

In a controlled local reproduction, utm_source=chatgpt was accepted, but utm_source=chatgpt.com caused our tracking serializer to throw an error. The form could stop before submitting the inquiry.

The change and its verification

Read the full reproduction and repair walkthrough →

The patch accepts bounded domain-style campaign values in the browser and server. Malformed optional tags are omitted instead of blocking an otherwise valid inquiry. Referral codes retain their existing format; referral credit is still confirmed separately.

Automated checks cover source preservation, the inquiry form, the server handler, and a no-JavaScript fallback. Email delivery is mocked in these tests. They do not prove production inbox delivery, AI citations or increased sales.

Inspect the browser regression checks
Inspect the server regression checks

Bring the app and the problem.

In your first inquiry, tell us what the app does, its platform or stack, the step that breaks, its business impact, your intended deadline and approximate investigation budget. Screenshots or a recording can help.

We confirm relevant experience and access before quoting. A review may recommend a small repair, a platform feature, a replacement component or stopping investment in an unsuitable app.

Access and boundaries

Do not send passwords, API keys or private customer records through the inquiry form. After scope is agreed, arrange owner-authorized repository access and an isolated test environment with suitable demonstration data.

Production changes require an agreed deployment and rollback plan. Specialist penetration testing, security certification, compliance sign-off and guaranteed launch dates are not included in this engineering review.

Describe What Needs Fixing

Before an app review

Evidence and practical next steps.

Try the saved-ticket repair demonstration →

Inspect our own work and prepare the information that makes a diagnosis useful.

01 / INTERNAL CASE

An inquiry blocked by a source tag

A reproduced failure, a focused patch and the limits of its regression checks.

Inspect the repair →

02 / HANDOVER

Prepare your AI-built app for repair

Collect the task, code inventory, demonstration data and acceptance checks.

Use the checklist →

03 / DECISION GUIDE

Repair, replace or rebuild?

Compare options against the cause, business need and cost of the result.

Compare the options →