Learning Loop Architecture¶

The learning loop is the feedback path from runtime observations back into better workflow, UI, and app-bundle authoring decisions.

It is not a separate app feature pack. It is a framework concern that should be built from existing runtime signals, artifacts, sessions, and admin surfaces.

Inputs¶

Learning-loop inputs can include:

• workflow run metadata
• structured outputs
• tool-call results
• UI tool events
• user feedback and refinement requests
• generated artifacts and patchsets
• runtime errors and validation failures

Outputs¶

Learning-loop outputs should improve the authoring and operating experience:

• clearer validation errors
• better workflow prompts and contracts
• safer generated app-bundle patches
• admin-visible run summaries
• refinement suggestions for existing artifacts

Boundaries¶

• Do not put learning heuristics inside low-level tools.
• Do not make workflow tools infer product strategy from keywords.
• Do not create a second hidden source of truth for workflow or app state.
• Keep persisted observations tied to app_id, user_id, chat_id, and workflow identity where those scopes are available.

Related Docs¶

• Event System
• Event Contracts
• Workflow Authoring Contracts