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Jev vs Chat Model: Hawk or Dove?

Real-time hawk-or-dove analysis of Fed press conferences with Jev side by side with chat models. Jev scores every word the Chair says in about 150 ms while the chat model scores each caption line in a few seconds, both judged against the same four stances.
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Language
JavaScript
Reading time
3 min
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Community
Author
turboguo
Last verified
Oct 2026

turboguo/jev-fedspeech

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Real-time hawk-or-dove analysis of Fed press conferences with TypeSafe's Jev vs chat models. Live at fedspeech.pages.dev

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1
Last pushed
Updated Sep 2026

Repo stats from the GitHub API, cached Oct 2026.Homepage

Highlights

  • Jev scores every word the Chair says in about 150 ms; the chat model scores each caption line in a few seconds, judged on the same four stances.
  • Three modes: a recorded July 29, 2026 press conference demo with real answers and timings, past conferences by date, and type-or-paste judging.
  • One Cloudflare Worker: public/ is the page and src/ is the API; a Pages site forwards requests over a service binding so visitor IPs reach the rate limits.
  • Themes are typed questions (noul, choice, score) in src/standards.ts; chat models get the same standard as a JSON prompt.
  • Past conferences save answers, so each is paid for once and replays free; Fed captions appear a few days after the event.

Quickstart

bash
npm run dev
npm run record-demo -- --fed-date 2026-07-29 --model opus-5

Watch out

Copy reviewed against the repo README on 2026-10-15; no accuracy benchmarks are published for either side, and the digest truncates the README's payment section mid-sentence. Fed data comes from the same public requests the Brightcove player makes, which the README notes is undocumented and could change.

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