AI Observatory
Knowledge Sources
AI answers should come from reviewed CRYA docs, app behavior, release notes, support outcomes, and approved store rules.
Public surface
Knowledge Sources
A reliable AI surface needs a clear knowledge chain. Community chatter can inspire review, but should not become permanent truth without admin approval.
Public docs, policy pages, support guides, and app workflow descriptions.
Version changes, known issues, status updates, and migration notes.
Verified fixes and common error patterns after review.
Submission, compatibility, access, and creator trust criteria.
| Knowledge health | Track stale articles, missing answers, disputed claims, and high-friction support topics. |
|---|---|
| Review workflow | Draft, reviewed, published, deprecated, or blocked. |
| Community input | Telegram/forum insights should be summarized and reviewed before becoming canonical. |
| Privacy | Never train or publish private account, billing, moderation, or support details directly. |
Workflow
How this should work
A public page should explain the user path while protected state, permissions, and audit trails stay in CRYA Mission Control.
Find repeated user questions or support failures.
Check app behavior, docs, logs, and admin decision.
Update docs or knowledge snippets.
Track ratings, confusion, and stale answers.
Related surfaces
Continue the journey
Move between public discovery, creator guidance, store trust, and support evidence without exposing private admin systems.