Is your AI-built app safe to launch?
Get a founder-readable trust report. Delivered to your inbox.
01 — Two ways in
€340
Trust Report
- Automated founder-readable analysis
- Instant analysis, PDF delivered to your inbox
- Optional 20-min call with Mik (limited slots) — 80 Human Credits or included per Founding Cohort
- Code never leaves your browser
from €1,200
Launch-Readiness Audit
- Deep review under NDA
- Mik reads your code personally
- Prioritized recommendations
- Ship-safe or refuse-to-ship decision
02 — How your code stays yours
Your code never leaves your browser. Only the analysis result — scores, categories, evidence, no code, no file paths — is uploaded, and only after you approve, so we can deliver your PDF report.
Anonymize my report. You can choose to anonymize your report before it leaves your browser. Same risk picture, no identifiers — for founders who want to share it with a partner or book a call with Mik.
The scoring engine is open source. You can read it here: github.com/mikbry/gigi.
03 — How it works
01 — Analyze in your browser You analyze your code locally. Nothing is uploaded.
02 — Pay €340 You pay via Stripe. The full report unlocks locally.
03 — Approve delivery You approve. Only the result — no code — is sent to generate your PDF.
04 — Receive your Trust Report The PDF arrives in your inbox. Book a 20-min call with Mik if you want to walk through it.
04 — Founder stories
This section stays empty on purpose. It fills after the first paid clients, only with their permission, and only in a way that doesn't identify their product. No fake proof.
05 — Launch-Readiness Audit
The €1,200 Launch-Readiness Audit is the human tier. Mik reads your code personally, under NDA, and delivers a prioritized launch plan: what to fix now, what to defer, and whether it's safe to ship. Two to five days depending on scope.
If you already have a Trust Report, it accelerates the audit — the automated pass covers the shallow layer, so the human pass goes deeper on architecture, security, and the launch-blocking risks that pattern-matching can't see.