jev-launcher
FeaturedDesign and verify Jev's command palettes in OpenHarness's viewer, where Jev ranks launch targets live per keystroke.
AI & Automation 957 stars
79 forks Updated today MIT
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# Jev Launcher palette design
Jev Launcher shows a live predictive command palette: Jev (TypeSafe's System One model) reads a
query and ranks which launch target to surface first, on every keystroke. The agent designs
`launcher.json` — the palette of targets and the aliases Jev fuzzy-matches against.
## The loop
1. Update `launcher.json` (title, prompt, and the target list with categories + aliases). The viewer
watches it and Jev adapts live — no restart, no second server.
2. `node "$JEV_DSH/toolchain/check.mjs"` verifies the workspace's `launcher.json` is valid. Run it
before you call a palette done.
3. Watch the ranking. Does Jev's top pick track the query you typed — or does it pick the same
target regardless? That observation is the finding.
## Reading Jev
The viewer shows the full ranking with confidence bars for the current query. A good palette
produces *movement*: Jev should re-rank as the query narrows. Distinct aliases and overlapping ones
("ship", "release", "deploy") give Jev real signals; a query with no alias coverage makes Jev guess
no matter what. An idle palette (nothing typed) should lead with `featured` targets.
## Verifying a palette
`node "$JEV_DSH/toolchain/check.mjs"` returns non-zero when `launcher.json` is invalid (no title,
fewer than two targets, duplicate names). It doesn't replace watching the ranking: type partial
queries and confirm Jev's pick moves toward the target whose aliases match, and that a confident
short query snaps to ...
Details
- Author
- autonomous-ai
- Repository
- autonomous-ai/openharness
- Created
- 1 months ago
- Last Updated
- today
- Language
- C
- License
- MIT
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