Tip2026-05-09#reliability

Spend latency where uncertainty is highest

Reliable AI systems are often cascades. Cheap checks run first; expensive checks wake up only when the situation deserves them. This keeps the product fast without pretending every answer has equal risk.

A practical budget has triggers: low logprob margin, missing receipt, protected action, high-dollar decision, policy boundary, or user-visible publication.

The aha is that latency can be evidence-driven. You do not need to choose between always fast and always careful.

Aha moment

Careful does not have to mean slow everywhere. Verification can wake up only where risk wakes it up.

Try this

Escalate to extra checks when confidence is low, evidence is weak, impact is high, or an action is protected.

Open NotesEntry JSON

Watch for

  • Uniformly expensive checks on low-risk tasks
  • Fast paths that ignore missing evidence
  • Latency budgets without explicit escalation triggers