Why evals may be the missing piece for agents that actually work in business
eptwts · x · 2026-07-24
A long article argues that evals are the key to making AI agents 100x smarter in real businesses. It says many users dismiss evals as leaderboard jargon, but in practice they are what turns agents from impressive demos into systems that can be trusted, improved, and scaled.
The piece’s core point is that agent builders need to treat evaluation as an operational discipline rather than a research buzzword. For people running agents in production, the article frames evals as the bridge between raw model capability and repeatable business results.
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