Automated README summary
Automatically summarized from the README on 9 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
Bud Decision Studio is a cross-platform desktop application and local serving system for Jev-like "System One" models. It lets users run open decision models on their own computer, giving a situation and typed questions to get calibrated probabilities for every allowed answer in milliseconds.
How it uses Jev
Jev-like models take a situation and typed questions, returning calibrated probabilities for each answer. The studio uses these probabilities to decide which option wins, whether a statement is true, which options pass a cut-off, how to order options, or to estimate a number with an 80% range. Results can be acted on automatically if certainty exceeds a threshold.
Primitives:choicescorenoul
Technique worth stealing
Templates with variables and versioning allow pinning decisions to specific versions or production, enabling A/B testing on real traffic.
Try it
Install via one-line command or download from releases; open the app and choose models to download.
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 material0.85
- Shows a System One patternnot found in the excerpt0.36
- Describes handling uncertaintynot found in the excerpt0.04
- Reports measured numbersnot found in the excerpt0.06
- Is a runnable toolFound in material0.98
- Top-10 learning shortlist signalnot found in the excerpt0.20
- Is a replica of the modelFound in material0.70
- Solves a common problem (0–2)score on a 0–2 scale1.00 / 2
- About JevFound in material0.88
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 9 Oct 2026.