# aaddrick/building-with-typesafe-jev

> Unofficial skill that teaches coding agents to build with TypeSafe AI's Jev: typed questions (Choice, Score, Noul) with calibrated confidence, plus 150+ community project examples.

- Magnitude: 4.7 out of 10 — Early signal
- Stars: 87 total · +0 stars today, ≈ 58 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: Python · License: MIT · Created: 2026-09-26 · Last push: 2026-09-28
- GitHub: https://github.com/aaddrick/building-with-typesafe-jev · Homepage: https://github.com/aaddrick/building-with-typesafe-jev#readme · Page: https://gitnova.dev/en/r/aaddrick/building-with-typesafe-jev

## Useful for

- Install the skill in Claude Code, Codex, or Muse to work with Jev
- Design typed Choice/Score/Noul questions for classifying content
- Validate question design against the live TypeSafe API before writing code

## Why it’s here

- 0 stars so far today, about 58 expected by the end of the day.
- The spike has held for 3 days in a row — not a one-off blip.
- The repository is 2 days old and already has 87 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #149.
- About 6 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 5
- Issues and pull requests: 5
- Watchers: 0
- Average over the last week: 49 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 0

## Stars per day, last 9 days (oldest → newest, today is partial)

2026-09-20 … 2026-09-28: 0, 0, 0, 0, 0, 0, 17, 71, 0

## Magnitude by day, last 2 days

09-27 4.2, 09-28 4.7

## Spotted in now

- Top new repositories this week: #149

## Similar by description

1. **dbreunig/building-with-jev-skill** — 0.4 · Steady · AI agents · +0 stars today, ≈ 1 by evening
   An agent skill for writing and improving programs that call Jev, TypeSafe's System One model. It covers question design (Choice, Score, Noul), state structure, and confidence thresholds.
   Full card: https://gitnova.dev/en/r/dbreunig/building-with-jev-skill.md
2. **cobanov/awesome-jev** — 2.0 · Cooling · Learning & lists · +0 stars today, ≈ 5 by evening
   A curated list of projects built with Jev, TypeSafe AI's System One model for fast typed probabilistic decisions (classification, routing, scoring, guardrails).
   Full card: https://gitnova.dev/en/r/cobanov/awesome-jev.md
3. **kraayenjon/awesome-jev** — 1.9 · Steady · Learning & lists · +0 stars today, ≈ 7 by evening
   A curated list of resources for Jev, TypeSafe AI's System One model that returns typed decisions (Choice, Score, Noul) with calibrated probabilities instead of generated text. Aimed at developers integrating Jev into code.
   Full card: https://gitnova.dev/en/r/kraayenjon/awesome-jev.md
4. **hellogumbo/awesome-jev** — 2.0 · Cooling · Learning & lists · JavaScript · +0 stars today, ≈ 6 by evening
   A directory of projects built on Jev, TypeSafe AI's System One model that takes a state plus typed questions and returns answers with calibrated probabilities. Includes SDKs, integrations, demos, and articles.
   Full card: https://gitnova.dev/en/r/hellogumbo/awesome-jev.md
5. **Mapika/decider** — 4.7 · Breakout · Language models · Python · +0 stars today, ≈ 242 by evening
   A language model that does not generate text: from a single forward pass it returns calibrated probabilities for typed questions (Choice, Score, Noul) about a given state. An open reproduction of the "System One" model class built on…
   Full card: https://gitnova.dev/en/r/Mapika/decider.md

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-28 02:13 UTC, updated every 30 minutes.