jev-conductor
FeaturedCurate a live Jev improvisation in OpenHarness's viewer, where Jev composes chords, bass and melody bar by bar in real time.
AI & Automation 957 stars
79 forks Updated today MIT
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Quality Score: 93/100
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# Jev Conductor composition
Jev Conductor shows a live scrolling score: Jev (TypeSafe's System One model) picks the next bar's
chord, bass note, lead phrase, mood and energy on a bar clock, and the pane performs it with Web
Audio. The agent curates `piece.json` — the musical constraints Jev improvises within.
## The loop
1. Update `piece.json`. The viewer watches it and reshapes Jev's playing live — no restart, no
second server.
2. `node "$JEV_DSH/toolchain/check.mjs"` verifies the workspace's `piece.json` is valid and
range-checked, and reports the current verdict. Run it before you call a piece done.
3. Listen (or reason about the design): a narrow consonant scale + small harmonic palette yields
coherent improv; a wide or chromatic scale yields chaos. Name the moods you want to hear.
## Reading Jev
The viewer colors each bar by mood and shows Jev's choices (chord, bass, lead, mood, energy).
Because Jev's *choice* questions return a probability distribution, `jev.mjs`'s mock and the real
model both pick a `choice` — but what matters musically is the *constraint design*: a strong tonic,
a small consonant scale, vivid mood labels. Design those well and any path Jev walks sounds like
music.
## Verifying a piece
`node "$JEV_DSH/toolchain/check.mjs"` returns non-zero when `piece.json` is invalid (bad notes, out
of range, empty palettes). It does not replace judging the *music*. The real test is coherence: with
a tonic-centered chord list and a consonant scale, Jev...
Details
- Author
- autonomous-ai
- Repository
- autonomous-ai/openharness
- Created
- 1 months ago
- Last Updated
- today
- Language
- C
- License
- MIT
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