Schema

The data model.

A real database — not a feed. Every column has a purpose. Every table compounds the moat.

entities— People, companies, products, research labs in the AI industry

idnameslugentity_typemention_countfirst_seen_atenrichment_data

entity_relationships— Verified relationships between entities (acquired, partnered, competes, hired)

source_entity_idtarget_entity_idrelationship_typeconfidenceevidence_countevidence_article_ids

entity_mentions— Article-level entity occurrences

entity_idarticle_idsentimentcontext

entity_timeline— Time-ordered events per entity

entity_idevent_typeoccurred_atdescription

agent_memories— The lab's verified findings, hypotheses, observations, plans

memory_typetitlecontentconfidencestatusverification_criteriaoutcomeembedding

agent_cycles— Transparent reasoning log — every thought the brain has had

cycle_typesummarymemories_createdfocus_entitiesduration_secondsestimated_cost_usdvalue_score

predictions— Falsifiable forecasts auto-verified against outcomes

claimresolves_atoutcomeconfidencecalibrated_confidence

⚙️ Reasoning cycle types — 23 kinds

scanhypothesizeinvestigateverifydiscovernarrateweb_researchreflectfact_checktuneexpand_knowledgeresearchcompress_memorybenchmark_extractimage_enrichgraph_reasoncompare_narrativesdistributechain_reasonstrategic_forecastanalyze_performancequality_patrolself_improve

📝 Memory types

observationhypothesisdiscoveryplanreflectionkg_narrativesystem_alertautoreasoncitation_audit

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