Use cases
Where bounded trust applies
AI governance
Map agent behavior, trust posture, claim boundaries, review triggers, and incident records.
Agentic workflow safety
Scope API calls, sensitive-data access, workflow triggers, and no-op before unsafe escalation.
Security review
Show explicit non-capabilities, owner authorization, visible boundaries, and drift diagnostics.
AI product design
Give users plain-language trust boundaries without overpromising safety.
Research and evaluation
Create a vocabulary for viability-aware, non-hostile AI interaction models.
Memory and handoff systems
Use handoff confidence, memory quarantine, trust posture metadata, and talk-back before mutation.
Use-case pattern
Every use case should state the situation, the risk without bounded trust, the Neurovanic pattern, the intended outcome, and the claim boundary. Do not present hypothetical examples as deployed case studies.