What problem does it solve? Teams lose critical context scattered across call transcripts, Slack threads, emails, and CRM records, making it impossible to answer questions like "what do we know about this customer" without digging through disconnected tools. ## Core Features & Use Cases - Structured Capture & Compilation: Routes incoming content into dedicated directories (people/, companies/, meetings/, sops/, decisions/, customer-language/, recurring-questions/, sales-objections/) and compiles them into an interlinked wiki with multi-author attribution. - Trust-Weighted Querying: Answers questions from the corpus while respecting trust levels (unreviewed/verified/deprecated/superseded) and sensitivity tags (internal/leadership/confidential), flagging low-confidence answers. - Review & Lint Workflows: Provides a human triage queue to verify, deprecate, or supersede stale captures, plus lint checks for orphans, stale SOPs, unanswered objections, and review backlogs. - Use Case: A sales team captures call transcripts from Fathom into meetings/, compiles them into wiki pages about active deals, then queries "what objections has Acme raised" before a renewal call and gets an answer citing verified sources with author attribution. ## Quick Start Ask the agent to capture this meeting note into the team brain, then query what the team knows about a specific customer.