Scorecards
8 essays tagged with Scorecards.
The AI Agent Review Tax: When Automation Creates Verification Debt
Measure the review, repair, and integration work behind agent output—and design verification that catches errors without erasing the gain.
How to Judge AI Work: Scorecards, Not Vibes
A practical guide for business teams evaluating AI agents with scorecards, examples, traces, human corrections, and launch gates instead of demos and vibes.
Scorecards Before Screens: Evals and Launch Gates for PMs Building Agents
A PM guide to defining agent quality with datasets, trace reviews, scorecards, release gates, and business metrics before building the agent UI.
How Great AI Engineers Build Agents: Datasets, Scores, and Harnesses That Improve
Why strong AI engineers build datasets, scorecards, traces, and improvement loops instead of treating agents as prompts plus tools.
Scorecards Over Vibes: The Five Metrics That Keep Agents Honest
The five metrics that keep agents honest: policy, utility, latency, safety, and economics.
The Agent Harness Audit: A Production Readiness Checklist for Governed AI Agents
The original 44-control agent harness checklist, with a note on the current release-specific assurance method and evidence requirements.
The Critic: Verify, Score, Consolidate with Explicit Evidence
How to separate Critic judgment from deterministic admission, evidence-scoped scoring and honest final records, using the tested reference.
Wiring the Five Evaluators: Policy, Utility, Latency, Safety, Cost
A design guide to trustworthy policy, utility, latency, safety and cost evidence, independent release assessment and current deployment controls.