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jev-search

superagents-lab/jev-search · Homepage

Jev-ranked web search across multiple engines, with visible relevance scores.

Scoring & Ranking1.00Runner-up: Classification & Routing
Automated README summary

Automatically summarized from the README on 21 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A plain-language web search app for people who want links and snippets, not generated answers. It chooses sources, time ranges and per-engine queries, then ranks results from Search1API with visible relevance scores and editable filters.

How it uses Jev

Jev answers typed questions about the request to choose sources and a time range, and to pick a query span for each engine. It also scores each result for relevance; the app merges by URL, orders by relevance, engine agreement and original rank, and groups lower-scoring results separately.

Primitives:choicescorenoul

Technique worth stealing

Use a decision model for both query understanding and per-result relevance scoring, then merge and order results by score, engine agreement and original rank.

Try it

Clone the repo, set SEARCH1API_API_KEY and a decision provider in .dev.vars, run pnpm install and pnpm dev, open http://localhost:3030.

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 projectunclear0.55
  • Shows a System One patternunclear0.52
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolFound in material0.96
  • Top-10 learning shortlist signalunclear0.53
  • Is a replica of the modelnot found in the excerpt0.04
  • Solves a common problem (0–2)score on a 0–2 scale0.89 / 2
  • About JevFound in material0.97
Signals
Jev is core to the project0.55Shows a System One pattern0.52Describes handling uncertainty0.05Reports measured numbers0.04Is a runnable tool0.96Top-10 learning shortlist signal0.53Is a replica of the model0.0400.51Solves a common problem (0–2)0.89 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.32Funnel0.32Ghostwriter0.30Fail open, fail closed0.30Check-up0.2000.51

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 21 Oct 2026.