Automated README summary
Automatically summarized from the README on 3 Nov 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A modular AI agent in Go for developers exploring orchestration: it combines a local Ollama model, skill selection, and MCP tools to handle user requests with conversation history.
How it uses Jev
Jev selects the most relevant skill from available skill definitions, or none, based on the user's request. Jev also evaluates available MCP tools to decide whether a tool is needed and which one. The chosen skill feeds the system prompt; the chosen tool drives argument generation and execution.
Primitives:choice
Technique worth stealing
Splitting skill selection and tool selection into separate Jev decisions keeps behavioral instructions distinct from executable actions.
Try it
Set JEV_API_KEY in .env, run ollama pull llama3.2, then go mod tidy and go run .
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 projectFound in material0.89
- Shows a System One patternunclear0.45
- Describes handling uncertaintynot found in the excerpt0.03
- Reports measured numbersnot found in the excerpt0.02
- Is a runnable toolFound in material0.94
- Top-10 learning shortlist signalnot found in the excerpt0.34
- Is a replica of the modelnot found in the excerpt0.07
- Solves a common problem (0–2)score on a 0–2 scale0.75 / 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 3 Nov 2026.