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How Kedapix Scores Trusted Sources

A framework for evaluating which documents, creators, and datasets make it into Kedapix's automated research loops.

Author
Emmanuel Gomez Soler
Published
February 25, 2026
1 min read
How Kedapix Scores Trusted Sources

Choosing the right corpus for Kedapix is a product decision, not a data chore. We now ship a trustedSources toggle inside every topic so you can gate which URLs feed the LLM router.

The rubric#

Signal density#

We look for assets where 80%+ of the paragraphs translate directly into decisions. That includes board decks, working memos, and PR FAQ docs with concrete counter-metrics.

Expert adjacency#

If a document references names, job titles, and dates that our agents can verify via Supabase, we treat it as first-party. Everything else goes through a second pass with higher thresholds.

Refresh cadence#

Each tag in Kedapix listTags() maps to review cadences:

  • product-updates: weekly because UI screenshots drift quickly.
  • ai-research: monthly, aligned with arXiv drops.
  • infrastructure: quarterly, tied to cost reviews.

We will keep sharing the scoring sheets so you can remix them for your own Kedapix topics.

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