AI Observatory
Cost and Budget Controls
Admin-controlled budgets, model settings, limits, and ratings keep AI useful without surprise cost or unreviewed behavior drift.
Public surface
Cost and Budget Controls
AI costs should be visible, capped, and connected to quality. CRYA should know what features spend tokens, where answers help, and when to pause or review.
Daily/monthly caps, feature caps, topic limits, and emergency pause.
Admin-controlled provider/model, temperature, context size, and fallback rules.
Thumbs, reports, answer outcomes, and support deflection signals.
Spending controls should never require exposing private user data publicly.
| Admin view | Budget remaining, error rate, costly prompts, answer ratings, and high-risk routes. |
|---|---|
| Feature gates | Assistant, Telegram bot, creator help, support summary, and store metadata drafts can have separate limits. |
| Pause modes | Disable AI globally, by feature, by Telegram group, or during maintenance. |
| Review | High-cost or low-rated answers should feed the review queue. |
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.
Admin defines caps and model settings.
Track usage, ratings, errors, and escalations.
Tune prompts, limits, and docs gaps.
Use maintenance or feature gates if needed.
Related surfaces
Continue the journey
Move between public discovery, creator guidance, store trust, and support evidence without exposing private admin systems.