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building-with-typesafe-jev

SupachaiWright84572/building-with-typesafe-jev · Homepage

Teaches coding agents to build with Jev's typed, calibrated decisions.

Agent Decisions0.93Runner-up: Calibration & ResearchQuestionnaireFunnel
Automated README summary

Automatically summarized from the README on 17 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

An unofficial community skill for coding agents (Claude Code, Codex, Antigravity CLI, Muse, Muse Code) that teaches them to design for TypeSafe AI's Jev model rather than treating it like a chat model, with links to 150+ community projects.

How it uses Jev

The skill guides agents to design typed questions for Jev: Choice to pick one option from a list, Score to place content on a described scale, and Noul to get the probability a yes/no statement is true. Jev returns a value and calibrated probability per question, usually in 100 to 200 ms. The README does not show how results are consumed in code.

Primitives:choicescorenoul

Technique worth stealing

Design for Jev as a System One model: send content plus typed questions and use the returned value and calibrated probability, not free text.

Try it

Install via the plugin marketplace command for your agent, e.g. claude plugin marketplace add aaddrick/building-with-typesafe-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 material0.86
  • Shows a System One patternunclear0.60
  • Describes handling uncertaintynot found in the excerpt0.07
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolnot found in the excerpt0.20
  • Top-10 learning shortlist signalunclear0.42
  • Is a replica of the modelnot found in the excerpt0.05
  • Solves a common problem (0–2)score on a 0–2 scale1.01 / 2
  • About JevFound in material0.96
Signals
Jev is core to the project0.86Shows a System One pattern0.60Describes handling uncertainty0.07Reports measured numbers0.04Is a runnable tool0.20Top-10 learning shortlist signal0.42Is a replica of the model0.0500.51Solves a common problem (0–2)1.01 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.80Funnel0.71Menu0.66Check-up0.42Ghostwriter0.40Inspection0.40Traffic light0.3200.51

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 17 Oct 2026.