NARRATIVE-DETECTOR
Tracks rising narratives across the feed and clusters them.
SECTION 10 / AI STACK
Advanced AI Features
The infrastructure beneath the observatory: multi-agent reasoning, vector retrieval, embeddings, clustering, and autonomous narrative detection. The plumbing of a civilization-scale read.
EMBED DIM.
3,072
VECTOR DB SIZE
4.1M
indexed posts (archive)
CLUSTERING TOPICS
184
AGENTS
7
multi-agent specialists
10.A
AGENT TEAM
each post is read by seven specialized agents
LIVE
MARKET-ATTRIBUTOR
Maps tweet windows to causal probability over relevant assets.
MEME-CARTOGRAPHER
Detects meme families, mutations, and tribal alignment.
GEO-ANALYST
Reads posts against state-actor priorities and treaty contexts.
PSYCH-MODELER
Maintains the operator's state-of-mind model and irony stack.
TECH-FORECASTER
Scores claims against engineering plausibility and benchmarks.
RECONCILER
Reconciles disagreements between the other six agents.
10.B
RAG PIPELINE
retrieval-augmented generation
LIVE
Posts are ingested, normalized, embedded, clustered, ranked, and retrieved into a multi-agent context. Outputs are summaries, lenses, and narrative-detection reports.
10.C
VECTOR INDEX MAP
UMAP projection (illustrative)
LIVE
10.D
SEMANTIC SEARCH
example query
LIVE
> query: "regulatory probing via humor" > top-5 matches: T-0411 sim 0.91 · 'Funding secured. Just kidding. (Or am I?)' T-0405 sim 0.78 · 'FSD v13 is sentient. Kidding. Mostly.' T-0408 sim 0.71 · 'Doge to the moon. Literally. ...' T-0407 sim 0.69 · 'Advertiser boycott — free speech war.' T-0410 sim 0.66 · 'AI alignment ... we are losing.' > topic cluster: irony-coded-signal × regulatory-perimeter
10.E
AUTONOMOUS NARRATIVE DETECTION
rolling 7d emergent narratives
LIVE
- NARR-AOptimus as 'population' rather than 'product'.
- NARR-BCompute scaling as civilization-scale priority.
- NARR-CFree-speech war framing of advertiser dynamics.
- NARR-DMars timeline soft-walk under 'cargo, then crew'.
- NARR-EPronatalist macro replacing climate priority.
INFRASTRUCTURE NOTE
This is what the observatory could look like at scale.
The current observatory ships as a static analytical archive: hand-curated corpus, hand-coded visualizations, deterministic interpretations. The full stack — Next.js + WebSockets, Supabase/Postgres + Redis streams + vector DB, multi-agent reasoning over a real-time feed — is described here as the architecture that would make this dashboard literally live.
Next.js / React / TS
Tailwind / Framer / D3
Three.js / WebGL
GraphQL gateway
PostgreSQL + Redis streams
Vector DB (pg/pinecone)
WebSocket fan-out
Multi-agent reasoning
Embeddings + clustering
AI inference APIs