Free interactive lab · no login · no file upload

Find the launch failure hiding in your AI app before a user does.

Most AI-built apps do not fail because the demo looks bad. They fail when the first real user hits the boring parts: auth, payment state, webhooks, plan access, data boundaries, AI output trust, and support recovery.

Private in your browser 5-minute diagnostic Built for tiny SaaS and AI tools
Run the 5-minute simulator Choose a launch-risk tool Check Stripe final state Check Supabase exposure Generate paid pilot offer I already know it is risky
Stripe Supabase Clerk/Auth Webhooks AI output

The hook

This is not another checklist. It is a mini crash test.

The simulator forces the app through real launch situations: delayed webhooks, duplicate payment events, canceled subscriptions, user data boundaries, AI hallucinations, missing logs, and client delivery pressure. The result is a risk profile and a 72-hour rescue plan, not vague advice.

01

Final state over success screens

It treats “payment succeeded” as unfinished until access, credits, and records end in the right state.

02

Trust boundaries in plain language

It checks whether AI output, private data, and user permissions have understandable limits.

03

Recovery before scale

It asks whether the first broken user can be diagnosed and recovered without guessing.

Run the lab

AI App Launch Failure Simulator

Answer honestly. “Not sure” is treated as risk because real users do not care whether the failure was planned to be fixed later.

Step 1 of 4

1. What are you trying to launch?

2. Which risky parts exist?

Pick everything your app depends on. More parts is not bad; unverified parts are bad.

3. Could your app survive these real launch failures?

Choose “safe,” “not sure,” or “breaks” for each scenario. This is where the score becomes useful.

4. What evidence do you actually have?

These are the proof gates. If one is missing, the launch may still work, but you are relying on luck.

If you want to self-fix

$9 Paid Pilot Starter Kit

Worksheets for buyer interviews, one-page offers, scope boundaries, and a simple lead and revenue ledger.

Get the kit

If one flow can break money or trust

$99 one-flow preflight

Pick one risky flow. I run 10 focused checks and send back evidence, repro notes, and a smallest-fix-first action plan within 2 days.

Book the one-flow review

If you need the full method

$19 field guide

A deeper guide for getting paid before you overbuild: buyer evidence, paid pilots, delivery boundaries, and practical worksheets.

Read the guide

Want a human second pass?

Send one risky flow. Get a practical next step.

If the simulator exposed a money, access, data, or AI-output risk, send the app URL and the flow you are worried about. Do not send passwords, API keys, private customer data, or sensitive files.

This is a lightweight intake, not a guarantee of availability or outcome. If it looks like a fit, the next step is the fixed-scope $99 one-flow preflight.