Case studies
Recent client work is largely proprietary, so these are genericized case studies — happy to walk through the real architecture and trade-offs on a call.
Requirements → PR-ready code, reliably
We designed a planner → implementer → reviewer pipeline that turns requirements into production-grade code, tests & docs — with structured outputs, validation gates, a failure taxonomy and an evaluation harness so quality is measured, not guessed.
Trustworthy RAG, eval-driven
We treat RAG quality as an evaluation problem: ground answers in retrieval, then build a golden-task eval set from real user questions plus scoring rubrics and regression checks — so every change is measured against your data, and drift is caught before users see it.
From "works in the demo" to production-grade
We add the reliability layer to flaky LLM features — structured outputs, validators, fallbacks and a failure taxonomy catching where multi-step reasoning breaks (loops, bad tool calls, context blowups) — and make every change measurable via evals.
