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
go-discern is a Go library that asks typed questions about text or JSON and returns probabilities from TypeSafe Jev, Cloudflare Clef, or both. It is for Go services needing fast classification or triage decisions with real probabilities and storable records.
How it uses Jev
Jev answers Choice, Noul, or Score questions about a given state. The result is used in code via res.Observation(discern.Jev) to get the chosen option and probabilities, or via a policy to produce a recommendation.
Primitives:choicenoulscore
Technique worth stealing
Use a policy to combine provider answers and apply thresholds for an explicit recommendation.
Try it
go get github.com/mrz1836/go-discern, set TYPESAFE_API_KEY, and run the Quick Start example.
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 excerpt0.38
- Shows a System One patternnot found in the excerpt0.32
- Describes handling uncertaintynot found in the excerpt0.07
- Reports measured numbersnot found in the excerpt0.09
- Is a runnable toolFound in material0.93
- Top-10 learning shortlist signalnot found in the excerpt0.28
- Is a replica of the modelnot found in the excerpt0.04
- Solves a common problem (0–2)score on a 0–2 scale1.22 / 2
- About JevFound in material0.98
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.