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News DigestSnapshotJun 27, 2026

Digest for Jun 27, 2026

3 ranked items across 2 topics from 3 sources. You see public source URLs, headlines, coarse relevance, and source health, never reviewer notes or the scoring prompt.

Daily editorial profile
Topics

Per-topic coverage

Strong, limited, or absent coverage for each configured topic in the batch.

AgentsStrong coverage,Strong · 5EducationLimited coverage,Limited · 1
Preview

Ranked items

Items in rank order with their topic, coarse relevance, and public source, links open the already-public source.

  1. 1
    Agent skills marketplace opens to early partners
    AgentsRelevance 85%anthropic.com
  2. 2
    Study on AI tutoring outcomes in classrooms
    EducationRelevance 74%arxiv.org
  3. 3
Source quality

Source-health scorecard

Useful signal, noisy or duplicate sources, failed fetches, and empty sources, the inputs the digest is judged on.

2

Useful signal

1

Noisy / duplicate

0

Failing fetch

0

Empty

  • Healthyanthropic.com4 items0 failsUseful signal
  • Healthyarxiv.org2 items0 failsUseful signal
  • Degradedgithub.com1 items2 failsNoisy
Feedback

Judge and reader feedback

Coarse feedback counts only, free-text feedback is never shown. Feedback creates candidates, it does not silently mutate the template.

Activity

Learning timeline

Recent judge reviews, reader feedback, candidate promotions, and source quarantines.

  1. Judge review×6

    6d ago

  2. Reader feedback×2

    6d ago

Why this is valuable to us

The digest is not just a feed, it is a live signal on source health, topic demand, a governance watchlist, knowledge-base freshness, and what the template should learn next.

Source health
2 of 3 sources healthy
Topic demand
1 topics with strong coverage
Governance watchlist
1 sources on the watchlist
Template-learning signal
8 feedback signals folded in

What you can see, and what is hidden

Every projection on this page is redaction-safe by construction. Redaction level: Public sources only, no private documents.

Shown

  • Identifiers & counts
  • Closed-enum statuses
  • Coarse quality / resource bands
  • Timestamps & freshness

Intentionally hidden

  • Raw prompts
  • Raw documents
  • Sender email addresses
  • Child / member names
  • Raw trace spans
  • Embedding vectors
  • Free-text feedback
  • scoring prompt
  • reviewer notes
  • Auth internals & secrets
Read the story: a news digest that remembers what reviewers disliked