Automated README summary
Automatically summarized from the README on 25 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
Rizzo Flow is a local-first decision server for developers who want typed, probabilistic answers from an LLM instead of generated text. It runs open weights via llama.cpp and exposes a Jev-compatible HTTP API.
How it uses Jev
It implements the Jev programming model: given unstructured state and typed questions, it returns calibrated probabilities for Choice, Score, and Noul decisions. Code can point at localhost by changing one URL from the TypeSafe API.
Primitives:choicescorenoul
Technique worth stealing
Read answer-token probabilities directly from an open LLM instead of generating text, exposing them as typed decisions.
Try it
uv run rizzo download && uv run rizzo serve, then POST to /v1/systemone or use the playground.
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 projectFound in material0.91
- Shows a System One patternnot found in the excerpt0.20
- Describes handling uncertaintynot found in the excerpt0.06
- Reports measured numbersnot found in the excerpt0.06
- Is a runnable toolFound in material0.93
- Top-10 learning shortlist signalnot found in the excerpt0.24
- Is a replica of the modelFound in material0.93
- Solves a common problem (0–2)score on a 0–2 scale1.39 / 2
- About JevFound in material0.97
no-judgment band (0.40–0.60)
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 25 Sept 2026.