Send me one AI feature — a chatbot, search or retrieval flow, AI agent, or automation — and I’ll evaluate where it could fail in real-world usage, not just where the demo works.

Most AI features are designed to perform well in controlled scenarios. Production is different. This audit looks at what happens across the other 999 interactions: unexpected inputs, empty results, rising inference costs, security gaps, and failure points under real usage.

A concise written report covering:

3 likely production failure points and why they matter

Potential security or data-exposure risks visible from the provided flow

Estimated cost per call, where enough information is available

The first fix I would prioritize based on the findings

This is a diagnostic audit, not a development engagement. I won't modify your code or make changes to your system. You'll leave with a clear understanding of what's wrong, how serious it is, and what should be addressed first.

If you want the issues fixed, we can scope the implementation separately after the audit.

Any one of the following is enough:

A link to the AI feature

A Loom video

A screen-recorded walkthrough

Read-only access to the relevant code or workflow