Automated README summary
Automatically summarized from the README on 20 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
jeffrey is a coding-agent CLI for developers. A decision model picks the next tool and scores progress, risk, and goal completion; an OpenAI-compatible LLM fills in the tool arguments and does the actual work.
How it uses Jev
On every step Jev answers closed questions: which tool to call, how much progress was made, estimated risk, whether the goal is reached, and a stuck probability. The agent uses these to pick the next tool, gate mutating tools on risk >= 0.5, and escalate when stuck.
Primitives:choicescorenoul
Technique worth stealing
Split deciding from executing: a closed-question decision model chooses tools while a separate LLM only fills arguments.
Try it
npm install -g @thomasbrueggemann/jeffrey && jeffrey "add retry with backoff to the http client"
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 excerpt0.37
- Shows a System One patternFound in material0.81
- 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 excerpt0.35
- Is a replica of the modelnot found in the excerpt0.07
- Solves a common problem (0–2)score on a 0–2 scale1.42 / 2
- About JevFound in material0.96
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 20 Sept 2026.