AI Agent Health Audit
A fixed-scope deep dive into your AI agent: log analysis, loop detection, cost forensics, and a fix playbook you can ship. 72 hours from intake to deliverable.
A redacted report + a fix playbook
📄 The report (PDF + Markdown)
12–30 page audit: log analysis, loop detection, cost forensics, three root-cause hypotheses, and prioritized fixes.
🛠 The fix playbook
Concrete steps to ship: code changes, config tweaks, guardrails. Not generic advice — bound to your stack.
🧪 Repro scripts
Bash or Python scripts that reproduce the failure modes I found, so your team can verify and re-run.
💬 A 30-min Q&A
Optional call after delivery to walk through the report. Async reply by email if you prefer.
A redacted sample report is attached to every sprint page.
No marketing copy. No "we'll figure it out." A real artifact, with names changed.
Common questions
How is this different from a free audit?
Free audits give you observations. This sprint ends with a redacted report and a fix playbook you can hand to an engineer or run yourself.
Do I need to give you production access?
No. You share a sanitized export or read-only logs. The deliverable is a written report — not ongoing monitoring.
Can I pay with Bitcoin?
Yes. Stripe (card), PayPal, or Bitcoin Lightning. All three reach the same deliverable. No KYC for Lightning.
What if I don't like the report?
Full refund within 30 days, no questions asked. The rail handles it. You keep the artifact regardless.
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