Automated README summary
Automatically summarized from the README on 1 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A local harness that runs Laya, an open-weight System One decision model, to drive browser agents. It is for developers who want typed decisions instead of generated text, on their own machine, with any agent.
How it uses Jev
The model decides which operation (CLICK/TYPE_TEXT/SELECT/SCROLL/WAIT/DONE/BLOCKED) and which element index to act on, plus its confidence. Output is validated against the offered option set; invalid output fails open so the agent takes its own fallback path.
Primitives:choicescorenoul
Technique worth stealing
Constrain model output to an index into a code-built element table, never a selector or executable code.
Try it
git clone the repo, then pip install -e '.[all]' on Apple Silicon or '.[torch]' elsewhere.
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 material0.67
- Shows a System One patternunclear0.47
- Describes handling uncertaintynot found in the excerpt0.06
- Reports measured numbersnot found in the excerpt0.06
- Is a runnable toolFound in material0.89
- Top-10 learning shortlist signalnot found in the excerpt0.25
- Is a replica of the modelFound in material0.91
- Solves a common problem (0–2)score on a 0–2 scale1.03 / 2
- About JevFound in material0.97
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 1 Oct 2026.