jevbooks

← All projects

jev-browser

Barbara88985/jev-browser

LLM plans, Jev decides browser actions via calibrated probabilities.

Automated README summary

Automatically summarized from the README on 18 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Browser automation library, CLI and MCP server where an LLM plans steps and Jev (Typesafe System One) makes per-round decisions on which element, action, value, and step status. For developers using MCP clients like Claude Code.

How it uses Jev

Each round, code describes the page (elements, labels, state, visible text, diff, counts). One ~300 ms Jev request asks which element, which action, which value, and whether the step is done, blocked, showing an error, or irreversible. Playwright then performs the chosen action; the LLM never reads page snapshots unless it takes over.

Primitives:choicescorenoul

Technique worth stealing

Turn free-form choices into candidate selection: Jev picks among caller-supplied values instead of writing text, and low confidence becomes an actionable status.

Try it

npx playwright install chromium; claude mcp add jev-browser -e TYPESAFE_API_KEY=your-key -- npx -y -p jev-browser jev-browser-mcp

View on GitHub

Start using Jev: API key and your first request →

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 material0.93
  • Shows a System One patternFound in material0.96
  • Describes handling uncertaintynot found in the excerpt0.06
  • Reports measured numbersnot found in the excerpt0.32
  • Is a runnable toolFound in material0.94
  • Top-10 learning shortlist signalunclear0.51
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale1.12 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.93Shows a System One pattern0.96Describes handling uncertainty0.06Reports measured numbers0.32Is a runnable tool0.94Top-10 learning shortlist signal0.51Is a replica of the model0.0300.51Solves a common problem (0–2)1.12 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.98Ghostwriter0.90Menu0.86Blind review0.75Funnel0.72Prefetch0.67Viewfinder0.39Traffic light0.33Fail open, fail closed0.2000.51

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 18 Oct 2026.