Stack
Proof metrics
Problem
Most agent demos optimize for demo-quality replies, not sustained reliability in production workflows.
Teams need structure for iterating prompts, tools, and policies when the scorecard is operational impact.
Solution
Worked with Hive's outcome-oriented abstractions to stress-test evaluation habits for agent systems.
Used the fork as a sandbox for methodology that complements production Claude agent work.
Architecture
Python framework surfaces for defining agent behaviors and measurement hooks.
Separation between execution, evaluation, and iteration workflows.
Outcomes
Sharper internal discipline for judging agent changes before they reach customer-facing products.
Public footprint in the agent evaluation conversation beyond application code alone.
Links & artifacts
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