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typesafe-adblock

realZachi/typesafe-adblock

Chrome extension asks Jev if each DOM element is an ad

Automated README summary

Automatically summarized from the README on 20 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A fun Chrome extension (Manifest V3) that detects ad-shaped DOM elements in real time and removes them. Intended for people curious about using a small decision model, not as a real ad blocker.

How it uses Jev

The content script collects ad-shaped candidates and describes each as a compact JSON object (tag, classes, label, text excerpt, link hosts, shape, IAB size). The service worker sends one noul question per candidate to systemone jev-latest; the returned probability per element drives removal at or above a threshold.

Primitives:noul

Technique worth stealing

Let code find candidates and build compact typed descriptions; send only the semantic question per element, one batch request.

Try it

Load unpacked in chrome://extensions, paste a TypeSafe API key in the popup, hit Test, browse.

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 projectFound in material0.95
  • Shows a System One patternFound in material0.68
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersnot found in the excerpt0.05
  • Is a runnable toolFound in material0.97
  • Top-10 learning shortlist signalnot found in the excerpt0.37
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale0.01 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.95Shows a System One pattern0.68Describes handling uncertainty0.05Reports measured numbers0.05Is a runnable tool0.97Top-10 learning shortlist signal0.37Is a replica of the model0.0300.51Solves a common problem (0–2)0.01 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.97Questionnaire0.83Viewfinder0.76Check-up0.29Menu0.2400.51

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 20 Sept 2026.