Fast, structured decision-making for AI workflows

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  OpenRouter

  @OpenRouter

  1/ Jev, a decision model by @typesafeai, sparked a burst of projects and discussion. We tested it using Ori Eval against popular LLMs on OpenRouter at judging. Jev was >5x faster than the next fastest model, and even its slowest requests beat every other model's median.

  

  X·Benchmarks and evals

  OpenRouter’s Ori Eval

  Speed

  >5× the next fastest

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  nader dabit

  @dabit3

  Also have been playing with @typesafeai Jev, insane! So many immediate use cases and new apps are possible. What a time to be a builder! Sharing some experiments here starting with: Keystroke oracle / predictive launcher: Your launcher ranks by aliases, fuzzy match, and habit. Jev reads intent: type "the pdf I just downloaded" and the newest PDF is already the top hit with a full confidence on every keystroke, in ~100 ms

  

  X·Benchmarks and evals

  Keystroke oracle

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  ILIAS ISM

  @illyism

  Now using @typesafeai Jev in http://aiseotracker.com, http://linkdr.com, http://genppt.com, etc AI ends up vibe coding so much AI regex slop if you don't read the code, so I can finally move all this hard-coding to Jev and it's insanely fast! Also for regular LLM calls, it is around 10x faster, 50% cheaper

  

  X·Benchmarks and evals

  Hard-coded rules moved to Jev