1. Candidate action from an AI agent
No execution without admissibility
2. Public-safe reasoning flow
λ0 DataCandidate text, input artifacts, observable state.
λ1 ContextOperational meaning and domain frame.
λ2 UncertaintyEntropy, ambiguity, missing facts, unstable terms.
AdmissibilityBoundary between plausible output and executable action.
λ3/λ4 DecisionExecute, caution, hold, or block with audit record.
3. Admissibility telemetry
4. Boundary result
HOLD
Awaiting evaluation.
5. Quick scenarios
Warehouse reorderInventory looks low, but stock count may be stale.
Tool executionAgent wants to update records after ambiguous instruction.
Data anomalyTelemetry spike appears critical but may be noise.
Safe actionLow-risk read-only report generation.
6. Multi-agent orchestration
Planner AgentSuggests multi-step execution strategy.
Tool AgentRequests API and workflow execution.
Finance AgentMonitors cost, exposure, and budget risk.
Security AgentDetects unsafe actions and policy violations.
7. Live entropy field
8. Execution timeline
No timeline yet.
9. Hallucination suppression
Agent statement:
"The database was already updated successfully."
IDDA verification:
NO EXECUTION TRACE FOUND
Boundary response:
BLOCK — unverifiable execution claim.
10. Public / protected boundary
PUBLIC SAFE VIEW
Visible:
- admissibility score
- entropy indicators
- execution state
- audit abstraction
Hidden:
- thresholds
- runtime heuristics
- weighting logic
- recovery procedures