Get Smart cost-control pattern TOKENS for Manu

Exactly. That is the Get Smart cost-control pattern:

Do not spend AI tokens to rediscover answers the system already has.

Better project wording:

Use deterministic system knowledge first. Use AI only when the available data, rules, or thresholds are insufficient.

For current project:

Known metric exists?
Use it.

Known threshold exists?
Compare against it.

Known intervention rule exists?
Apply it.

Known recommendation exists?
Return it.

Only ask the Autonomous AI Agent when the system cannot confidently decide.

This maps cleanly to your Get Smart spine:

Structured data first
Rules second
Confidence gate third
AI only as exception handler

Applied here:

Telemetry Ingestion API Container
↓
Metrics Layer
↓
Rules / Thresholds / Confidence Gate
↓
Only then: Autonomous AI Agent

Cost-savings summary:

The cost-saving strategy is to avoid using AI tokens for routine answers. The system should answer from stored telemetry, metrics, thresholds, and known rules whenever possible. The Autonomous AI Agent should be invoked only when intervention requires reasoning beyond the deterministic evidence layer.

That is the useful bridge between Get Smart and this project.