01
Problem
- No standardized way to evaluate AI agents
- Manual evaluation was time-consuming
- No common ground truth for assessing outputs
012026
AI Evaluation Platform
0→1 · AI Product
Creating a standardized, repeatable way to evaluate AI agents, compare versions, and build shared confidence in outputs.
02
Ownership
- Product discovery & strategy
- Product roadmap & UX
- Evaluation methodology
- Test sets & ground truth
- Internal launch & validation
03
Key Decisions
- Standardized evaluation test sets + ground truth
- Introduced AI Agent Registry for no-code agent onboarding
- Automated repeatable evaluations
- Enabled AI-agent version comparison
- Built evaluation results dashboard
Evaluation system
From manual review to a reusable evaluation capability
Foundation
Test sets + ground truth
A shared basis for assessing outputs
Onboarding
AI Agent Registry
No-code agent onboarding
Evaluation
Repeatable automation
Consistent runs across agent versions
Decision support
Results dashboard
Comparable evaluation results
04
Outcomes
~80%
reduction in manual evaluation effort
2
AI-agent teams validated the platform
Internally deployed and adopted for testing
Established reusable evaluation capability
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