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Classification

How Triage Classifies

Triage evaluates every incoming piece of evidence across multiple dimensions:

Dimension 1: Source and Provenance

  • Where did this come from? (MCP, conversation, agent, manual)
  • Who produced it? (user, AI, system)
  • Is the source trusted? (known connector vs unknown)

Dimension 2: Semantic Category

  • What type of knowledge is this?
  • Categories: insight, fact, decision, action_item, preference, relationship
  • Domain: executive, product, engineering, design, sales, marketing, etc.

Dimension 3: Entity Linking

  • Which known entities does this relate to? (accounts, contacts, deals, etc.)
  • Is this a new entity or an update to an existing one?
  • Confidence of the link

Dimension 4: Duplication and Conflict

  • Does this duplicate existing canonical memory?
  • Does it conflict with established truth?
  • Is it stale (old information presented as current)?

Dimension 5: Sensitivity and Materiality

  • How sensitive is this information?
  • Is it material (business-significant) or trivial?
  • Does it require governance review?

Dimension 6: Memory Scope

  • Should this be personal, conversational, agent, or organizational scope?
  • Does it meet the threshold for organizational memory?

Classification Output

Every triage evaluation produces:

Routing Decisions

Confidence Dimensions

Confidence is six things, and one number must never represent all six:
  1. Pattern confidence — How well does this match known patterns?
  2. Prediction confidence — How likely is this to be accurate?
  3. Input completeness — How complete is the source data?
  4. Data freshness — How current is the information?
  5. Historical precision — How accurate has this source been?
  6. Policy eligibility — Does this meet policy requirements?
Small samples use a named conservative lower bound, not raw accuracy. 3/3 is not better evidence than 470/500.