Automated README summary
Automatically summarized from the README on 11 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A browser demo where a 3D face mesh reacts to typed text. As you type, Jev judges the emotion and intensity the recipient would feel, and the result drives 52 ARKit blendshapes. For anyone exploring Jev-driven interfaces.
How it uses Jev
On each keystroke, the client posts { text } to a server route that builds a Jev question schema. Jev answers two questions: emotion (choice, 8 emotions with probabilities) and intensity (score, 0–4 with probabilities). The code weights all eight pose vectors by their probabilities and lerps toward the result each frame.
Primitives:choicescore
Technique worth stealing
Weight all poses by their full probability distribution and lerp each frame, instead of snapping to the top answer.
Try it
pnpm install; cp .env.example .env; add one key; pnpm dev
Model judgments from README excerpts
Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.
Models & evaluation dates
- Inclusion gate
jev-1.13.0- Project signals
jev-1.13.0- Category
jev-1.13.0- Pattern tags
jev-1.13.0
Evidence
These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.
- Jev is core to the projectFound in material0.95
- Shows a System One patternFound in material0.90
- Describes handling uncertaintynot found in the excerpt0.04
- Reports measured numbersunclear0.41
- Is a runnable toolunclear0.51
- Top-10 learning shortlist signalunclear0.54
- Is a replica of the modelnot found in the excerpt0.06
- Solves a common problem (0–2)score on a 0–2 scale0.07 / 2
- About JevFound in material0.98
no-judgment band (0.40–0.60)
no-judgment band (0.40–0.60)
The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 11 Oct 2026.