What I fix

  • Hallucinations and factual errors
  • Inconsistent or unpredictable outputs
  • Tool-calling and integration failures
  • Context window and memory issues
  • Rate limits, timeouts, and error handling gaps

What you get

  • Incident notes in plain English - what broke and why
  • Patches with measurable before/after results
  • Tests and guardrails to prevent repeat failures
  • Post-fix monitoring to confirm stability

Timeline

Most fixes take 2–3 weeks. I start with diagnosis, move to targeted patches, and finish with guardrails and monitoring. You get updates throughout.

How It Works

1

Diagnose

I reproduce the issue in a controlled environment, trace the root cause through your pipeline, and document exactly what’s failing and why.

2

Patch

Targeted fixes — not rewrites. I change only what’s broken, test against your real data, and measure the before/after difference.

3

Test

I add regression tests and evaluation suites so you can prove the fix works and catch similar issues before they reach production.

4

Monitor

Post-fix monitoring for 2 weeks to confirm stability. If the same class of bug resurfaces, I fix it at no extra cost.

Frequently Asked Questions

Stop fighting flaky AI

15 minutes to walk through what’s breaking. I’ll tell you what’s fixable and what it takes.