Building a Complete Evaluation and Experimentation Pipeline for Agents
blaizedsouza · x · 2026-08-16
The article argues that improving agents requires more than one-off tests; a full pipeline covering data analysis, controlled experiments, deployment, and continuous monitoring is essential. It treats agent improvement as a continuous loop. A cheatsheet is provided: start from real performance data, run controlled experiments with clear metrics, promote only validated changes, monitor post-release impact, and feed results back into the next cycle.
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