All Topics
All Topics
Technology
Technology
Design
Design
Programming
Programming
Science
Science
News
News
Gaming
Gaming
Entertainment
Entertainment
Business
Business
Finance
Finance
Sports
Sports
Health
Health
Food
Food
Travel
Travel
Art
Art
Music
Music
Books
Books
Education
Education
Politics
Politics
Personal
Personal
No algorithm. No AI slop. No ads. Just RSS. Pro-human. Indie writers. Real journalism. Open web. Chronological. Hand toasted.

Scorecard: Platform for Evaluating and Optimizing AI Agents in High-Stakes Applications

By

Ben Lang

7mo ago· 2 min readenProduct

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 pulled
I 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
Snippet from the RSS feed
For teams building AI in high-stakes domains, Scorecard combines LLM evals, human feedback, and product signals to help agents learn and improve automatically, so that you can evaluate, optimize, and ship confidently.

You might also wanna read