Behavior trace
Discover
Start from real prompts, logs, tool calls, workflows, approvals, documents, and failure cases.
Method
Discover. Define. Evidence. Compose. Control.
Semantiv uses a meaning-first engineering discipline for autonomous systems. The language stays simple because the work must hold up in production.
01 Loop
Action contract
Define
Make the operational meaning of important agent actions explicit enough to reason about.
Evidence packet
Evidence
Identify the support required to trust, block, escalate, or approve autonomous work.
Coordination map
Compose
Model how work, authority, responsibility, and evidence move across systems and people.
Decision record
Control
Design runtime boundaries, approval paths, tool wrappers, escalation logic, and durable records.
method artifact chain recordable
- 01 prompts and traces
- 02 operational meaning
- 03 required evidence
- 04 workflow composition
- 05 runtime controls
- 06 decision record
02 Discipline
Separate what the work means from how the current system happens to represent it.
An agent may "update a record," but the operational meaning could be changing customer state, accepting business risk, triggering a regulated request, or transferring authority. Semantiv makes those meanings explicit before controls are designed.
surface action: update record operational meaning: change customer state required support: source document policy match approval status runtime decision: allow | block | escalate | record
Next step
Use the method on one workflow before autonomous work becomes too complex to reason about.
The review turns traces, tool calls, approval paths, and documents into an operational model your team can improve.