EDITORIAL ARCHITECTURE

A public systems view of how AI Adjacent ingests, evaluates, and publishes issues.

Signal Intake

Search streams, community streams, inbound tips, reference feeds, and automated hooks.

Processing Layer

Canonicalization, clustering, language/date checks, reputation modeling, and adversarial filtering.

Editorial Intelligence

Candidate story building, story-mix constraints, evidence graphing, structured schema generation.

Validation + Controls

Link integrity, domain diversity, title/date contracts, consistency checks, auto-regeneration.

Publishing Layer

Draft output, editorial QA, web publish, automated feed and email delivery.

INTAKE → PROCESSING → EDITORIAL → VALIDATION → PUBLISHING
┌──────────────────────────────────────────────────────────────────────────────┐
│ Trigger (schedule/manual)                                                   │
├──────────────────────────────────────────────────────────────────────────────┤
│ Multi-channel ingestion → normalization → credibility/relevance scoring     │
├──────────────────────────────────────────────────────────────────────────────┤
│ Structured story schema generation + automated QA constraints               │
├──────────────────────────────────────────────────────────────────────────────┤
│ Regenerate on failed checks → editorial review → publish + distribution     │
└──────────────────────────────────────────────────────────────────────────────┘

This architecture intentionally emphasizes repeatable quality controls over one-shot generation.