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reflex
A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.
173 ★ on GitHub
What it is
You give it some information (a support ticket, a document, a photo) and a list of questions with fixed answer options. It answers all the questions at once and tells you how sure it is about each option, as percentages. It never writes free text, so it can never make up an answer that isn't on your list.
What the README says it does
- returns numbers, not prose – nothing to parse, no JSON that fails to validate;
- answers many questions in one pass – ask 20 questions about one document for
- tells you its confidence, honestly – after calibration, "85 % sure" really means
- works on images too – put a photo in the state and ask typed questions about it.
From the project’s README.
Where the decision sits
reflex calls the hosted decision API rather than running its own weights. That keeps the project small and means its behaviour moves whenever the vendor ships a new model version. It also means an API key and a network round trip sit in the path of every decision.
Models it references: Jev.
How active it is
Created 2026-09-17, last pushed 2026-10-06, 173 stars and 19 forks when we read it on 2026-11-02. Everything in this category is weeks old at most, so a stale push date means something different here than it would on a mature project. Check the repository before you depend on it.
Find out what your data actually supports
We turn your historical decisions into a frozen test set, then tell you which model, which threshold, and how much of it you can safely automate.