Evaluation Harnesses
Reproducible test suites for LLM and agent systems. Run against every change, gate deploys on quality regressions.
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· Ship the boring parts
Evals & Observability
Evaluation harnesses and observability infrastructure for production AI. Catch regressions before users do, and know exactly what your system is doing when something breaks.
[ Scope ]
The work inside the work.
LLM Observability
Tracing, logging, and replay for production model calls. See every prompt, response, and tool invocation in context.
Cost & Latency Telemetry
Per-request cost and p50/p95/p99 latency instrumentation. Budget enforcement and slowdown alerts.
Quality Monitoring
Continuous quality scoring against gold sets, drift detection, and alerting on degradation.
Incident Runbooks
Written, rehearsed procedures for when production breaks. Failure modes mapped, recovery paths documented.
[ Method ]
Built for handoff.
Define the operating objective
We start with the work the system must complete, the tools and data it can use, and the boundaries it has to respect.
Build the production path
We implement the smallest complete system that can run inside the real workflow, then harden the edges that matter.
Ship with evidence
We hand over working software, documentation, monitoring expectations, and a clear read on what should improve next.
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