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Agent Eval Scorecard
Most teams ship agents based on 'it ran without errors.' Score yourself across the four layers of agent evaluation in two minutes — and find out where your quality gaps are before your users do.
Get the One-Page Eval Scorecard
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Built by Damian Galarza, a software engineer with 15+ years of production experience who builds and evaluates AI agents daily.
What's inside
- Score yourself 0-3 on each of four evaluation layers (component, trajectory, outcome, system monitoring)
- Instant assessment of where your agent quality gaps are
- Specific next steps for each score band (0-3, 4-6, 7-9, 10-12)
- Based on the same framework used to catch a broken eval in 65 autonomous optimization experiments