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Architecture Primer

Thinkstream Architecture Primer

Thinkstream connects to the tools where work happens, turns raw activity into evidence, builds durable understanding about people and projects, and surfaces actions at the right time.

Core Loop

  1. Sources produce activity.
  2. Ingestion collects source data.
  3. Evidence normalization turns raw activity into comparable signals.
  4. State builders decide what is true right now.
  5. Durable stores and the knowledge graph preserve memory.
  6. Decision layers rank what matters.
  7. The app surfaces reviews, stream items, notifications, drafts, and actions.
  8. User feedback becomes the highest-value correction signal.

Reader Paths

  • Product and operations: start with the mental model, lifecycle walkthroughs, and source-of-truth map.
  • Engineering: read generated inventories, source anchors, API routes, schemas, workers, and tests.
  • Agents: prefer generated facts first, then source-truth docs with freshness metadata.

Launch State

This first scaffold proves the docs application can build and deploy. The next milestones add Thinkstream auth, generated inventories, protected visual explainers, and code-backed freshness checks.

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Launch Plan