Digest for Jun 28, 2026
5 ranked items across 3 topics from 4 sources. You see public source URLs, headlines, coarse relevance, and source health, never reviewer notes or the scoring prompt.
Per-topic coverage
Strong, limited, or absent coverage for each configured topic in the batch.
Ranked items
Items in rank order with their topic, coarse relevance, and public source, links open the already-public source.
- 1Model providers publish updated safety evaluationsGovernanceRelevance 92%anthropic.com
- 2Open agent protocol gains broader adoptionAgentsRelevance 86%github.com
- 3Tracing standard for LLM tool calls reaches 1.0Developer toolsRelevance 80%github.com
- 4Regulators outline disclosure rules for AI agentsGovernanceRelevance 77%digital-strategy.ec.europa.eu
- 5Benchmark released for long-context retrievalDeveloper toolsRelevance 71%arxiv.org
Source-health scorecard
Useful signal, noisy or duplicate sources, failed fetches, and empty sources, the inputs the digest is judged on.
4
Useful signal
0
Noisy / duplicate
0
Failing fetch
0
Empty
- Healthy —anthropic.com5 items0 failsUseful signal
- Healthy —digital-strategy.ec.europa.eu4 items0 failsUseful signal
- Healthy —github.com6 items0 failsUseful signal
- Healthy —arxiv.org3 items0 failsUseful signal
Judge and reader feedback
Coarse feedback counts only, free-text feedback is never shown. Feedback creates candidates, it does not silently mutate the template.
Learning timeline
Recent judge reviews, reader feedback, candidate promotions, and source quarantines.
Judge review×9
5d ago
Reader feedback×7
5d ago
Candidate proposed×1
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
- 4 of 4 sources healthy
- Topic demand
- 3 topics with strong coverage
- Governance watchlist
- 0 sources on the watchlist
- Template-learning signal
- 16 feedback signals folded in