Automated README summary
Automatically summarized from the README on 14 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
grill-me-jev is an interactive design convergence skill for Google Antigravity. It replaces the built-in /grill-me interview by preserving all candidate options, adding Jev probability-based recommendations, and recording decisions in a persistent artifact.
How it uses Jev
During each interview question, candidate options (A, B, C) are derived. The typesafe_evaluate MCP tool calls Jev (jev-1.13.0) in the background to produce calibrated probability percentages, confidence scores, and tradeoff evaluations. These results are printed as a Jev Decision Guide card before the ask_question widget, and the selected option is recorded in decision_records.md.
Primitives:choicescore
Technique worth stealing
Double Archiving: pre-print all options with Jev evaluations in chat and persist them in decision_records.md.
Try it
curl -fsSL https://raw.githubusercontent.com/snowd-zk/grill-me-jev/main/install.sh | bash
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 material0.69
- Shows a System One patternFound in material0.73
- Describes handling uncertaintynot found in the excerpt0.06
- Reports measured numbersnot found in the excerpt0.14
- Is a runnable toolunclear0.43
- Top-10 learning shortlist signalnot found in the excerpt0.22
- Is a replica of the modelnot found in the excerpt0.15
- Solves a common problem (0–2)score on a 0–2 scale1.00 / 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 14 Oct 2026.