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eyedot

Simon-zj1/eyedot · Homepage

Turn your material into a point-by-point graded exam with review scheduling.

Automated README summary

Automatically summarized from the README on 9 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Eyedot is an open-source exam generator and point-level grader for learners who want to turn their own PDFs or notes into auditable, self-graded exams with FSRS review scheduling.

How it uses Jev

For written-answer grading, Jev makes one noul decision per rubric point; the probability is the point score, and code weights and combines them. Judgment strength is measured as |p − 0.5| × 2; weak judgments become 'needs review' with a score range.

Primitives:noul

Technique worth stealing

Decompose grading into atomic checkable questions, decide each with a typed probability, and combine them in code.

Try it

npm install && npm run dev (offline demo mode without keys), or use the CLI: npx tsx scripts/study.ts grade ...

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 projectnot found in the excerpt0.06
  • Shows a System One patternFound in material0.89
  • Describes handling uncertaintyunclear0.57
  • Reports measured numbersnot found in the excerpt0.08
  • Is a runnable toolFound in material0.79
  • Top-10 learning shortlist signalnot found in the excerpt0.27
  • Is a replica of the modelnot found in the excerpt0.07
  • Solves a common problem (0–2)score on a 0–2 scale1.03 / 2
  • About JevFound in material0.90
Signals
Jev is core to the project0.06Shows a System One pattern0.89Describes handling uncertainty0.57Reports measured numbers0.08Is a runnable tool0.79Top-10 learning shortlist signal0.27Is a replica of the model0.0700.51Solves a common problem (0–2)1.03 / 2012

no-judgment band (0.40–0.60)

Design patterns
Scorecard0.91Grey zone0.89Question bank0.79Check-up0.68Ghostwriter0.56Funnel0.55Traffic light0.46Inspection0.3900.51

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 9 Oct 2026.