Nilay Baranwal
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  • Hive MindProject
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  • AI agents now outwork humans at Anthropic. Junior engineers are feeling it first.Article
  • Anthropic replaced git. Here's why you probably shouldn't.Article
  • Recruiters can now interview your AI twin. Here's what it actually checks.Article
  • Everyone's building a Jev rival. The independent numbers tell a different story.Article
  • Jev vs OpenAI Decisions API: which decision model should your agent use?Article
  • Top 10 Jev use cases in agentic appsArticle
  • Jev vs Laya: decision modelsArticle
  • LLMs or Jev: where each one actually fitsArticle
  • Everyone's talking about Jev. Here's a closer look at what the data shows.Article
  • Live agent with an approval gateLab
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Lab

For AI engineering

Eval bench

Score two versions of an agent against a golden set and find the regressions before your users do.

v1 pass rate

75%

v2 pass rate

75%

Fixed in v2

2

Regressions

2

Scorers that count
Golden casev1v2Change

Click a case to see why it passed or failed. With every scorer on, both versions pass 75%, yet v2 fixes two cases and breaks two that worked. A single pass rate hides that; a per-case diff catches it before release.