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systemone

olivere/systemone

Typed AI decisions in Go with Jev and other System One models.

Infra / SDKs / Integrations0.53Runner-up: Classification & RoutingQuestionnaire
Automated README summary

Automatically summarized from the README on 13 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A small, standard-library-only Go library for typed AI decisions. Define Choice, Score, and Noul questions once, evaluate them together against JSON state, and read results through typed handles. Backends include TypeSafe's Jev HTTP API and the OpenAI Decisions API.

How it uses Jev

Application code defines questions with systemone.MustChoice, MustScore, and MustNoul, then calls client.Ask with state and handles. The jev backend sends them to TypeSafe's HTTP API and returns calibrated probabilities. Results are read with Handle.In(answers), which returns typed values and errors.

Primitives:choicescorenoul

Technique worth stealing

Define typed question handles once and reuse them for both Ask and In, so answers are read through the same identity-checked handle.

Try it

mise exec -- go run ./examples/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 projectnot found in the excerpt0.15
  • Shows a System One patternFound in material0.69
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolFound in material0.97
  • Top-10 learning shortlist signalnot found in the excerpt0.25
  • Is a replica of the modelnot found in the excerpt0.05
  • Solves a common problem (0–2)score on a 0–2 scale1.10 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.15Shows a System One pattern0.69Describes handling uncertainty0.04Reports measured numbers0.04Is a runnable tool0.97Top-10 learning shortlist signal0.25Is a replica of the model0.0500.51Solves a common problem (0–2)1.10 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.96Inspection0.59Viewfinder0.2900.51

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 13 Oct 2026.