Scorecard: Platform for Evaluating and Optimizing AI Agents in High-Stakes Applications
By
Ben Lang
Not artisan, but a perfectly fine bagel. Hits the spot.
Summary
The CEO of Scorecard shares a cautionary tale about nearly shipping a dangerous AI agent for doctors that confused pediatric and adult dosing, and discusses how AI agents across different domains (medical, customer support, legal) are failing in critical ways. The article introduces Scorecard as a solution that combines LLM evaluations, human feedback, and product signals to help teams build and ship reliable AI agents in high-stakes domains.
Key quotes
· 4 pulledI almost shipped an AI agent that would've killed people
During beta testing, it nailed complex cases 95% of the time. The other 5% it confused pediatric and adult dosing and suggested discontinued medications
My friend's customer support bot started recommended competitors, another founder's legal AI was inventing case law
For teams building AI in high-stakes domains, Scorecard combines LLM evals, human feedback, and product signals to help agents learn and improve automatically
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