$597 · Delivered in 48 hours · No call required

You built it with AI.
Now have it checked.

A senior engineer reviews your AI-built product and records a 20 to 30 minute video walkthrough: the five biggest risks in your build, what each one could cost you, and the exact fixes, written so you can paste them straight into Cursor, Claude Code, or Lovable. Delivered within 48 hours of access.

Reviewed by senior engineers from a Y Combinator alumni team, with work delivered for Meta, Google, and Anthropic. Your code is covered by NDA from the moment you check out.

What you get

A real review, by a real engineer.

  • A recorded video walkthrough

    A senior engineer walks through your codebase or live product for 20 to 30 minutes, on screen, explaining what is solid, what is fragile, and why.

  • Your top five risks, ranked

    Security, data exposure, reliability, and cost risks, ordered by how badly each could hurt you, each with a plain-language explanation of the failure it leads to.

  • A paste-ready fix list

    Every fix is written as an instruction you can hand to your AI coding tool or your developer. No vague advice, no homework.

  • An async follow-up thread

    Questions after watching? You get a follow-up thread with the engineer who did the review, answered within one business day.

  • Full credit toward the AI Code Audit

    Upgrade to the $5,000 AI Code Audit within 60 days and your $597 is credited in full.

How it works

Four steps, forty-eight hours.

  1. 01

    Check out

    Pay $597. The intake form opens immediately.

  2. 02

    Give us access

    Three minutes: a read-only GitHub invite or a live URL, plus one sentence on what the product does. Access is read-only and revoked after delivery.

  3. 03

    Get your teardown

    Within 48 business hours you receive the video, the ranked risk list, and the fix list.

  4. 04

    Fix it, or go deeper

    Most founders fix the list themselves with their AI tool. If the teardown surfaces more than a teardown can cover, the AI Code Audit picks up where it stops, and your $597 comes off the price.

Why this exists

AI ships fast. It does not ship safe.

AI coding tools ship products that look finished. They do not review their own work, and they are trained to make things run, not to make things safe. The result is a generation of products with exposed keys, unprotected endpoints, silent payment failures, and databases that anyone curious can read. We have audited these products professionally for years. The teardown is the fastest, cheapest way to find out which of those problems you shipped, before your users or an attacker do.

Proof

Both of these started as products that looked finished.

Read what the review found.

FAQ

Questions, answered.

Is my code confidential?

Yes. Every teardown is covered by NDA from checkout. Access is read-only, limited to the engineer doing the review, and revoked when your teardown is delivered. We never train anything on your code and we never reuse it.

Do I need to get on a call?

No. The entire process is asynchronous: checkout, intake form, delivery, follow-up thread. If you would rather talk first, book a triage call and the $10 is credited.

What stacks and tools do you cover?

Anything the current AI tools produce: Cursor, Claude Code, Lovable, v0, Bolt, Replit, and conventional stacks in JavaScript, TypeScript, Python, and the major frameworks around them. If your stack is unusual, email us before buying and we will confirm fit within a few hours.

What is the difference between this and the $5,000 AI Code Audit?

Depth and formality. The teardown is one senior engineer, the highest-impact risks, and a video, in 48 hours. The AI Code Audit is two senior engineers, a full written report across security, architecture, reliability, and cost, and a remediation plan your team or investors can hold in their hands. The teardown tells you whether you have a problem. The audit is the document you fix the company with.

What if you do not find anything serious?

It has not happened yet, and we review for more than vulnerabilities: reliability, cost exposure, and the things that break at scale. If your build is genuinely clean, the video will say so, and that is worth knowing before your next investor or enterprise customer asks.

My developer built it, not an AI tool. Is this still for me?

Yes. The review is the same discipline either way. AI-built products are simply where we find the most issues the fastest.

Forty-eight hours from now, you will know.

One checkout, one three-minute form, and a senior engineer starts on your build.

The five biggest risks, the exact fixes, on video, by the day after tomorrow.