Automated README summary
Automatically summarized from the README on 22 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
decisionsmith lets developers use and fine-tune System One models (Jev, Laya) on their own data, starting with an LLM as teacher and ending with a fast, local decision model.
How it uses Jev
Jev can serve as either teacher or student engine via the string "jev" (hosted, needs TYPESAFE_API_KEY). The harness sends typed questions derived from a Pydantic schema and uses Jev's answers as decisions; Jev can be adapted but not fine-tuned.
Primitives:choicescorenoul
Technique worth stealing
Use an LLM teacher to label data, then fine-tune a fast student model and move traffic field by field once confidence thresholds are met.
Try it
uv add "decisionsmith[all]" then use ds.harness(Ticket, teacher="claude-sonnet-5", student="laya")
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 projectunclear0.46
- Shows a System One patternnot found in the excerpt0.11
- Describes handling uncertaintynot found in the excerpt0.03
- Reports measured numbersnot found in the excerpt0.03
- Is a runnable toolFound in material0.96
- Top-10 learning shortlist signalnot found in the excerpt0.14
- Is a replica of the modelFound in material0.82
- Solves a common problem (0–2)score on a 0–2 scale1.28 / 2
- About JevFound in material0.87
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 22 Oct 2026.