jevbooks

← All projects

jev-bookmark-triage

Pirozshki/jev-bookmark-triage

Triage X bookmarks into Top picks, Needs human look, or Skip with Jev.

Classification & Routing0.86Runner-up: Data Labeling & CurationQuestionnaireScorecard
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

A privacy-first Next.js demo that sorts saved social posts (bookmarks) into three buckets using TypeSafe AI's Jev model, processing everything server-side with no persistence.

How it uses Jev

For each bookmark, one systemOne call asks four typed questions: category (Choice), demoability (Score), primary source (Noul), and stack fit (Choice). The returned probabilities and confidence scores feed a composite rank; low average confidence routes items to 'Needs human look' regardless of rank.

Primitives:choicescorenoul

Technique worth stealing

Confidence-gated routing: items below an average confidence threshold go to human review regardless of composite rank.

Try it

npm install && npm run dev (mock mode by default); set TYPESAFE_API_KEY in .env.local for real Jev.

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 material0.96
  • Shows a System One patternFound in material0.91
  • Describes handling uncertaintynot found in the excerpt0.09
  • Reports measured numbersnot found in the excerpt0.05
  • Is a runnable toolFound in material0.85
  • Top-10 learning shortlist signalunclear0.50
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale0.50 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.96Shows a System One pattern0.91Describes handling uncertainty0.09Reports measured numbers0.05Is a runnable tool0.85Top-10 learning shortlist signal0.50Is a replica of the model0.0300.51Solves a common problem (0–2)0.50 / 2012

no-judgment band (0.40–0.60)

Design patterns
Scorecard0.98Questionnaire0.97Funnel0.52Traffic light0.2700.51

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.