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Experiments

Quality checks for physical-AI action labels

Jev is insane. We are building egocentric training data for physical AI. Jev QA'd 58,643 action labels in under 3 minutes. 90 cents. A friction cost of the Claude & GPT models.

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How it uses Jev

Uses Jev to make the bounded decisions demonstrated by Quality checks for physical-AI action labels.

Why it's interesting

Shows a concrete Jev-driven result in public media and passed the verified engagement threshold.

How often does Jev run?

This project calls Jev on demand, in response to user input or events.

  • jevchat

    Turns Jev into a chatbot

  • Breaking, golden nugget, or slop

    Jev is tagging X posts in real time for me. Breaking, golden nugget, or slop.

  • Which exam questions come back

    JEV IS INSANE. I gave it 80 real exam questions and 297 practice ones. In 80 seconds, it told me which ones are most likely to appear on the real exam and which ones aren’t. All for $0.0256. Can't stop playing with @typesafeai 😁

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