


Building Continuously Improving AI Systems
Shipping an AI system is now table stakes. The teams pulling ahead built the machinery of improvement: the harness, the evals, the quality metrics, the feedback loops, and regression testing for systems that refuse to be deterministic.
Club recap, panel and photosRead Field Notes № 01: The Harness Is the Product
- Harness designInstrumenting AI systems so improvement is measured rather than felt.
- Evaluation frameworksEvals that survive contact with production.
- Quality metrics beyond accuracyWhat leaders track when outputs are probabilistic.
- Feedback loopsTurning user signal, human review and failures into an improvement flywheel.
- Regression testingShipping with confidence when the same input can produce different outputs.
On stage
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