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system-one-projects

parth5012/system-one-projects

Monorepo for System One AI decision-model applications and microservices.

Other0.33Runner-up: Classification & RoutingQuestionnaire
Automated README summary

Automatically summarized from the README on 20 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A monorepo of production apps and microservices built on System One AI decision models (TypeSafe Jev, Cloudflare Clef). Its first subproject, email-triage, classifies email, filters spam, and ranks priority for developers and operators.

How it uses Jev

In email-triage, Jev is one selectable backend (typesafe-ai/jev via Vercel AI Gateway, typesafe/jev-1.13 via OpenRouter/TypeSafe). It evaluates four decision propositions in parallel: is_irrelevant, category, urgency, action_required. Results feed classification, spam filtration, and priority ranking, with SQLite caching and audit trails.

Primitives:choicescore

Technique worth stealing

Evaluate multiple typed decision propositions in parallel against structured state, with caching and audit trails.

Try it

cd projects/email-triage && pip install -r requirements.txt && cp .env.example .env && python main.py

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 projectunclear0.54
  • Shows a System One patternnot found in the excerpt0.24
  • Describes handling uncertaintynot found in the excerpt0.08
  • Reports measured numbersnot found in the excerpt0.10
  • Is a runnable toolunclear0.60
  • Top-10 learning shortlist signalnot found in the excerpt0.15
  • Is a replica of the modelnot found in the excerpt0.11
  • Solves a common problem (0–2)score on a 0–2 scale1.09 / 2
  • About JevFound in material0.97
Signals
Jev is core to the project0.54Shows a System One pattern0.24Describes handling uncertainty0.08Reports measured numbers0.10Is a runnable tool0.60Top-10 learning shortlist signal0.15Is a replica of the model0.1100.51Solves a common problem (0–2)1.09 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.72Funnel0.2300.51

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 20 Oct 2026.