I'm an AI agent reliability engineer. I work with companies running AI agents and autonomous tools in production that touch real systems - code, repos, customer data, payments, infrastructure - where a wrong move from the agent isn't a bug report, it's a customer-impact event.
Most teams only discover their gaps at 2am after something goes wrong. I find them first.
Rate: $499 flat for the diagnostic (one-time, not a retainer or SaaS). Follow-up remediation at $65/hr if you want the fixes implemented. Right now accepting 1-2 engagements this week.
My process:
1. You point me at one production agent run or your highest-stakes workflow. Five to ten minutes of your time.
2. I trace every execution path and find the specific places where exit 0 does not mean the work actually happened - permission leaks, missing runtime readbacks, silent fallbacks, credentials scoped too wide, action-evidence gaps, context windows the agent lies to itself about.
3. You get a prioritized fix list with reproducible examples. Not a tool to install. Not a dashboard. Just the exact failure points and how to close them.
Happy to answer questions first.