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fidelity-ai-workspace/knowledge/glossary.md

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glossary

Glossary

Common terms used in this workspace.


Workspace Terms

  • core: reusable project-independent AI workspace logic.
  • profile: project-specific configuration and assumptions layered on top of the core.
  • operational memory: curated file-based memory that helps future AI sessions reason accurately.
  • daily log: same-day evidence and evolving findings in ai/logs/.
  • state: near-term active work and priorities in ai/state/.
  • work item: canonical memory for a ticket, story, task, or investigation in ai/work-items/.
  • stable context: durable project knowledge under ai/context/.
  • inbox: raw or lightly processed communication evidence under ai/inbox/.
  • promotion: moving high-confidence evidence into canonical memory.
  • tooling behavior: reusable behavior encoded in commands, prompts, skills, agents, or knowledge rules.

Fidelity Terms

  • Fid4: main Fidelity consumer iOS app and key validation environment.
  • XFlowSDK: backend-driven UI engine that renders flows from service-provided configuration.
  • XFlowViewMaker: adapter layer historically involved in integration and release propagation.
  • FTFrameworks: feature modules such as account opening or transfer flows that can mediate XFlow adoption.
  • AO: account opening context; many reports require careful reproduction and scope validation.
  • Discourse: external issue/report source; treat reports as external until confirmed.
  • REST migration: migration away from GraphQL/Apollo toward REST, with REST behind a feature flag unless confirmed otherwise.
  • authenticated flow: behavior reproduced while signed in; often differs from non-authenticated behavior.
  • entry point: the path used to reach a flow, which can affect backend-driven behavior.
  • Cogstore: flow-configuration publishing and version-comparison platform.

Communication Terms

  • external report: issue reported externally before regression status is confirmed.
  • regression: behavior confirmed to be newly broken relative to a known baseline.
  • scope: the exact affected flow, platform, auth state, environment, and ownership boundary.
  • reproducibility: whether the behavior can be repeated with known steps and context.
  • manager-ready: concise, explicit, natural professional English that can be sent without rewriting.