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Jev: 8 real use cases this fast, cheap model

Claire Vo and John Lindquist discuss Jev demonstrations spanning voice commands, record matching, layered routing, chess, agent coordination and presentation coaching.

Original by How I AI — Claire Vo with John LindquistAgent workflowsIntermediate46 min 7 sec Published

Before you press play

What you’ll find in the video

  1. Define the allowed actions and supply transcription separately; Jev chooses a step rather than recognizing speech or executing the action itself.
  2. Check proposed record merges and validate confidence cutoffs with your own examples; the interview’s illustrative threshold is not a guarantee.
  3. Chain smaller routing decisions, batch or cache repeated work, and retain generative or visual models for writing and open-ended analysis.
Worth knowing

The interview includes sponsorship and promotion, informal performance comparisons and recording-time access and pricing claims. Some examples revisit Claire’s earlier Jev work. The available automatic English captions were reviewed; JevMade did not independently execute the demonstrations or verify their scalability.

Jev: 8 real use cases this fast, cheap model

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