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s1-studio

doggy8088/s1-studio · Homepage

Vendor-neutral web UI sandbox for /v1/systemone structured decision models.

Evaluation & Benchmarking0.71Runner-up: Calibration & ResearchQuestionnaire
Automated README summary

Automatically summarized from the README on 18 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

S1 Studio is an open-source web workbench for testing structured decision models that speak the /v1/systemone protocol, including TypeSafe AI jev, Cloudflare clef, Ollama clef, and custom endpoints. It visualizes Choice, Score, and Noul probability diagnostics for developers.

How it uses Jev

Users pick the TypeSafe AI endpoint (jev-latest) as a profile and build up to 64 typed questions (choice, score, noul) against a text or JSON state, optionally with images. S1 Studio sends the request and renders calibrated probabilities as diagnostic cards, threshold sliders, and bimodal warnings; it also exports SDK code.

Primitives:choicescorenoul

Technique worth stealing

Treating model output as calibrated probabilities and diagnosing them visually (threshold simulation, confidence, bimodal detection) instead of reading generated text.

Try it

Open https://s1-studio.miniasp.com/ or run make install then make dev locally.

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 excerpt0.08
  • Shows a System One patternnot found in the excerpt0.37
  • Describes handling uncertaintynot found in the excerpt0.06
  • Reports measured numbersnot found in the excerpt0.05
  • Is a runnable toolFound in material0.93
  • Top-10 learning shortlist signalnot found in the excerpt0.23
  • Is a replica of the modelnot found in the excerpt0.04
  • Solves a common problem (0–2)score on a 0–2 scale1.03 / 2
  • About JevFound in material0.94
Signals
Jev is core to the project0.08Shows a System One pattern0.37Describes handling uncertainty0.06Reports measured numbers0.05Is a runnable tool0.93Top-10 learning shortlist signal0.23Is a replica of the model0.0400.51Solves a common problem (0–2)1.03 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.71Check-up0.4600.51

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 18 Oct 2026.