personal AI to simplify life.

Personal AI agents for everyday life.

backend process for spinning up new assistants

The latest ask is no longer just brand positioning. pai now has a clear backend direction: treat assistant creation as a controlled provisioning workflow with validation, review, and lifecycle management.

core workflow

  1. intake request
  2. validate required details
  3. create assistant record
  4. provision workspace and defaults
  5. apply tool / permission profile
  6. submit for review
  7. activate only after approval

MVP backend shape

  • assistant record + audit trail
  • queue-backed provisioning jobs
  • strict status transitions
  • review gate for external-capable assistants
  • simple admin view for approve / pause / archive

Stored working note: slakkaBrands/pai/backend/pai-assistant-backend-process.md

This gives the card a practical build path for morning review instead of leaving it as an abstract service concept.

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