AI System Tune-Up

What You Get

Your AI system, but working properly. We diagnose issues, implement fixes, and set up monitoring so problems don't sneak back.

Common Issues We Fix

• Hallucinations — AI making things up or giving wrong answers
• Inconsistent outputs — Same question, different answers
• Slow responses — Latency killing user experience
• Prompt brittleness — Small input changes breaking everything
• Cost overruns — Token usage out of control

Deliverables

• Diagnostic report — Root cause analysis of current issues
• Implemented fixes — Prompt engineering, guardrails, caching, or architecture changes
• Evaluation suite — Automated tests to catch regressions
• Monitoring setup — Alerts for accuracy drops and anomalies

The Process

1. Audit (2 days) — Review system, analyze logs, identify failure patterns
2. Fix (3-5 days) — Implement improvements, test thoroughly
3. Validate (2 days) — Run evaluation suite, set up monitoring

Best For

• AI features that launched but aren't performing well
• Prototypes that need to become production-ready
• Teams without AI expertise to debug issues

Case Study

Legal Tech

LLM Quality Testing Framework

Built an evaluation framework that reduced hallucinations by ~80% in a legal research product. Citation accuracy hit 94%, groundedness score 0.91.

80% fewer hallucinationsRead case study →

Typical engagement: 1-2 weeks. Fixed price regardless of hours.