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Concepts

Use this area when you need to understand how Helpifyr thinks before you choose an API, runbook, or rollout action.

What this area explains​

  • the system model and control-plane boundaries
  • how event sourcing, events, state, and projections relate
  • where replay, idempotency, and read-model boundaries matter
  • how dependency and event-modeling truth support operator decisions
  • where human review sits in the loop
  • how learning and optimization stay review-gated

Architecture / Flow​

  1. System Model
  2. Event Sourcing
  3. Event and State Flow
  4. Event Modeling
  5. Business Capabilities
  6. Human Interaction
  7. Learning and Optimization
  8. Platform Truth

Current detailed pages​

Verification​

This area is working as intended when a reader can:

  1. explain what Fabric owns versus what downstream products own
  2. explain why event sourcing and replay-safe thinking matter before implementation choices
  3. trace how truth moves from contracts and events into projections and operator decisions
  4. identify when a human review step is mandatory

Common failure modes​

Jumping into implementation without the system model​

Problem:

  • readers can find routes and products but still misread ownership and control-plane boundaries.

Better path:

  • start with the concept pages before choosing tooling or operations detail, especially when event-sourced or projection-heavy surfaces are involved

Treating concepts as detached theory​

Problem:

  • the pages are read once and not connected back to verification or runbooks.

Better path:

  • use concepts as the model that explains why later verification and handoff pages are structured the way they are, not just as general background reading

Treating event flow as enough without event sourcing or replay boundaries​

Problem:

  • readers understand that events exist but still miss append-only truth, replay behavior, and projection lag or idempotency constraints.

Better path:

  • read Event Sourcing together with Event and State Flow before choosing integration, automation, or recovery behavior

Next paths​