Stunspot's Guide to Investigative News Intelligence — A model-facing canon for investigative news intelligence, evidence reasoning, public-reality mapping, and AI/RAG use.

Stunspot’s Guide to Investigative News Intelligence

A model-facing canon for investigative news intelligence, evidence reasoning, public-reality mapping, and AI/RAG use.

This site is the navigation layer for the repository. The individual report corpus lives in knowledge-packs/by-report/; the grouped upload packs live in knowledge-packs/compiled-packs/; the whole-corpus bundle lives in knowledge-packs/omnibus/.

The canon is built for AI/RAG ingestion first and human navigation second. It gives models and analysts a structured vocabulary for working under partial observability: distinguishing public visibility from material significance, claims from evidence, apparent plurality from independent corroboration, and narrative fit from causal pressure.

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What the Canon Is For

Use it when a model or analyst needs to reason about contested public information without collapsing into either naïve literalism or conspiracy-patterning. The core work is disciplined reconstruction: recovering probable underlying reality from traces, omissions, documents, source topology, actor incentives, temporal shifts, adversarial narratives, and bounded inference.

Corpus Snapshot

Layer Count Repository Location Role
Source reports 10 knowledge-packs/by-report/ Individual A–J source-report units for granular retrieval and citation.
Compiled packs 4 knowledge-packs/compiled-packs/ Recommended default upload format; includes the full A–M sequence grouped by volume.
Omnibus 1 knowledge-packs/omnibus/ Full-corpus single-file bundle for archive, long context, or strong RAG systems.

The docs/ directory intentionally contains navigation and usage guidance only. It is not the source-report corpus, and this repo does not use docs/reports/.