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Overview
Scorecard AI builds evaluation infrastructure for teams shipping products on top of large language models. It runs test sets, scores model output against defined criteria and tracks regressions between releases. The product aims to give AI features the same release discipline as ordinary software.
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Making research papers feel brainrot so I can read them Scorecard Blog
I built a bot that turns research papers into brainrot and it sucked. Here's how I fixed it.
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Annotation is all you need Scorecard Blog
Learn how structured, span-level annotations on OpenTelemetry traces create a continuous improvement loop for AI agents - turning human feedback into targeted code fixes via MCP-connected coding assistants.
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The First Zero-Code Tracing Setup for the Claude Agent SDK Scorecard Blog
Reveal Anthropic's hidden reasoning steps in 0 lines of code.
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You can't QA your way to the frontier. Scorecard Blog
QA finds what's broken. It doesn't help you get better. The best AI teams are shifting from "observe and evaluate" to "simulate and improve." Here's what Waymo, OpenAI, and frontier labs figured out about building self-improving agents.
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Offices
Where the company hires and what each office is for
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1
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0
Countries
1
San Francisco
United States
HQ
10-50 est. staff
995 Market Street, San Francisco, CA 94103
