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FitAI

adriaansaeez/FitAI

Simulated 10-minute race demo with Jev-powered pacing advisor.

Agent Decisions0.40Runner-up: Verification & GuardrailsFunnelFail open, fail closed
Automated README summary

Automatically summarized from the README on 27 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A local, self-contained web demo that simulates a 10-minute run second by second, showing how a safety-first pacing advisor decides between increase, maintain, decrease, recover, insufficient data, and stop. For developers exploring TypeSafe Jev in a safety-critical context.

How it uses Jev

Jev is called via POST /api/decide only when the safety policy allows. It receives the athlete's training state (metrics, history, scenario) and returns a typed decision (increase_gently, maintain, decrease_gently, recover, insufficient_data, stop_and_escalate) — never free text. The decision is composed with safety and confidence into a Spanish message.

Primitives:choice

Technique worth stealing

Safety guards run before the model; a reported symptom stops the session and escalates without ever calling Jev.

Try it

npm install && npm run dev, open http://localhost:3000; set TYPESAFE_API_KEY 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-1.14.0
Project signals
jev-1.14.0
Category
jev-1.14.0
Pattern tags
jev-1.14.0

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 material0.95
  • Shows a System One patternFound in material0.77
  • Describes handling uncertaintynot found in the excerpt0.32
  • Reports measured numbersnot found in the excerpt0.07
  • Is a runnable toolFound in material0.64
  • Top-10 learning shortlist signalnot found in the excerpt0.29
  • Is a replica of the modelnot found in the excerpt0.37
  • Solves a common problem (0–2)score on a 0–2 scale0.03 / 2
  • About JevFound in material0.99
Signals
Jev is core to the project0.95Shows a System One pattern0.77Describes handling uncertainty0.32Reports measured numbers0.07Is a runnable tool0.64Top-10 learning shortlist signal0.29Is a replica of the model0.3700.51Solves a common problem (0–2)0.03 / 2012

no-judgment band (0.40–0.60)

Design patterns
Fail open, fail closed0.98Funnel0.97Thermostat0.54Inspection0.2600.51

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 27 Oct 2026.