Core positioning
Use this as a high-level umbrella framing for ProofPath and its relationship to CML, LTP, and model reasoning layers:
Сквозной стек безопасности AI-агентов:
от намерения и рассуждения модели
до проверенного исполнения, блокировки и аудита.
English version:
A full-lifecycle safety stack for AI agents:
from intent and model reasoning
to verified execution, blocking, and audit.
Supporting frame
Claude / GPT = reasoning layer
CML = causal meaning and responsibility
LTP = continuity, replay, and trace
ProofPath = execution boundary, approval, blocking, and audit
Strong short lines
AI agents should not only reason.
They should act through verifiable safety boundaries.
Models propose.
ProofPath gates.
LTP records.
CML explains.
Audit proves.
Why this matters
This framing explains how the projects complement each other instead of competing:
- model reasoning proposes actions;
- CML preserves causal meaning and responsibility;
- LTP preserves thread continuity and replay;
- ProofPath decides whether high-risk actions can execute;
- audit logs preserve evidence after the decision.
Deliverables
Related
Core positioning
Use this as a high-level umbrella framing for ProofPath and its relationship to CML, LTP, and model reasoning layers:
English version:
Supporting frame
Strong short lines
Why this matters
This framing explains how the projects complement each other instead of competing:
Deliverables
docs/internet-action-layer.mdor a new positioning doc.Related