Scorecard
Evaluate, Optimize, and Ship AI Agents
Scorecard launched on October 17, 2025 with 391 votes, #57 of 8,178 launches that month and more than 99% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
Scorecard is a platform for teams developing AI agents in critical applications. It integrates language model evaluations, human feedback, and product metrics to enable agents to improve automatically. The tool helps developers evaluate performance, optimize agent behavior, and deploy with confidence. It's designed for organizations building AI systems where reliability and continuous improvement are essential.
written from the facts on this page · September 2026
From the sources
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.
Looking for a simple way to build and test LLM apps? Use Scorecard to deliver predictable AI experiences that improve with every update.
You can't QA your way to the frontier. Building more complex agents means you have to test each change against exponentially more scenarios to get it to work. Self-improvement through simulation is how frontier labs build best-in-class agents. Now you can too. Scorecard helps you make sense of AI performance. With tools to test and evaluate AI agents, map out real scenarios and bring clarity to AI performance. Gain insights, identify risks early, and ship with confidence. Run your agent through thousands of realistic scenarios and get results in minutes. Stop waiting weeks for experts to review production logs. Create, test, and track your best-performing prompts all in one place. Keep a…from scorecard.io
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Scorecard – Evaluate LLMs like Waymo simulates cars2025 · docs.scorecard.io · ▲7Hey HN! I built self-driving sim and eval at Waymo. Now I’m building Scorecard to bring that approach to agent eval: reproducible, automated scoring for AI. Scorecard lets you: - Run LLM-as-judge evals on agent workflows: test tool usage, multi-step reasoning, and task completion in CI/CD or in a playground. - Debug failures with OpenTelemetry traces: see which tool failed, why your agent looped, and where reasoning went wrong. - Collaborate on datasets, simulated agents, and evaluation metrics. Try it out → https://app.scorecard.io (free tier, no payment required!) Docs →…
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