AI evaluation infrastructure that makes iteration safe
Harness engineering is the practice of building the measurement layer around an AI system , golden datasets, CI-integrated scoring, and LLM-as-judge pipelines that tell you whether your changes made things better or worse before users find out.
Evaluation infrastructure that ships with the system
A harness built after the fact is harder to trust than one built alongside the system. We build them together.
Evaluation harness design
Building the golden dataset, scoring rubric, and automated test runner that tells you whether your AI system got better or worse after a prompt change, model swap, or pipeline update.
CI-integrated AI testing
Wiring evaluation harnesses into your CI pipeline so every code change that touches the AI layer automatically runs against your golden set, catching regressions before they reach production.
LLM-as-judge scoring
Setting up model-assisted grading for outputs too complex to score with exact match, with the calibration, spot-checking, and bias controls that make automated scoring trustworthy.
Business metric instrumentation
Connecting your evaluation harness to the actual business KPI the AI is supposed to move, so you can see whether accuracy on the test set correlates with the number your stakeholders care about.
You cannot improve what you are not measuring
Without a harness, every change is a guess
Traditional software has unit tests. AI systems have prompts, retrieval pipelines, and model weights, all of which can change. A harness gives you the same confidence interval on AI changes that tests give you on code changes.
Your users are not your eval set
Teams without evaluation harnesses discover regressions when users stop trusting the answers or stop filing tickets about it. A harness catches the same failure in the CI run before anyone is affected.
The harness is what enables iteration
Teams with eval harnesses ship prompt and model updates daily with confidence. Teams without them ship monthly and argue about whether anything improved. The harness is not overhead, it is the multiplier on everything else.
Shipping AI changes and not sure if they helped?
Tell us what the AI is supposed to do. We will design the harness that tells you whether it is doing it well.
