jevbooks

← All projects

notra

usenotra/notra · Homepage

GEO analytics platform tracking brand visibility across AI engines.

Classification & Routing1.00Runner-up: Verification & Guardrails
Automated README summary

Automatically summarized from the README on 15 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Notra is a production GEO platform for marketing teams. It asks ChatGPT, Claude, Gemini and Perplexity the questions buyers ask, then reports mention rates, recommendation positions, share of voice, competitors, content gaps and AI traffic attribution.

How it uses Jev

The README does not describe how Jev is used. The list summary states that the `NOTRA_JEV_CLASSIFIERS` flag routes brand-visibility classifiers off an LLM and onto Jev `Boolean` decisions at a 0.5 threshold, targeting 300 ms p50, but the README itself contains no Jev integration details.

Primitives:choice

View on GitHub

Start using Jev: API key and your first request →

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 excerpt0.07
  • Shows a System One patternFound in material0.64
  • Describes handling uncertaintyFound in material0.66
  • Reports measured numbersunclear0.46
  • Is a runnable toolunclear0.59
  • Top-10 learning shortlist signalnot found in the excerpt0.24
  • Is a replica of the modelnot found in the excerpt0.13
  • Solves a common problem (0–2)score on a 0–2 scale1.07 / 2
  • About JevFound in material0.70
Signals
Jev is core to the project0.07Shows a System One pattern0.64Describes handling uncertainty0.66Reports measured numbers0.46Is a runnable tool0.59Top-10 learning shortlist signal0.24Is a replica of the model0.1300.51Solves a common problem (0–2)1.07 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.53Ghostwriter0.2700.51

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 15 Oct 2026.