ClawBenchExecution Playbook
How to Benchmark AI Agents in Production
Use this operator loop to benchmark AI agents in production-like conditions. It works for OpenClaw, Hermes, Codex, Claude, and internal agents where reliability and safety matter.
Step 1: Define production-relevant benchmark lanes
Split tasks into coding, reasoning, security, and reliability lanes with stable definitions.
Step 2: Capture a baseline before tuning
Run clean baselines and save traces for failures and near-failures.
Step 3: Gate promotion with safety constraints
Do not ship if score gains increase severe-failure rate.