Action Meaning
Define what an agent action means in the business, technical, legal, or operational system.
"edit file" -> "change authentication behavior" Platform direction
Emerging runtime infrastructure for agent behavior and control.
Semantiv is developing the primitives that repeatedly appear when teams try to understand, evidence, coordinate, and control autonomous AI systems.
01 Primitives
The shape repeats across customers.
Each environment is different. The operational sequence is not: behavior, meaning, evidence, authority, coordination, control, record.
Evidence Packet
Bind important actions to tests, clauses, approvals, source documents, traces, and missing support.
tests passed, clause cited, approval missing Authority Context
Clarify who or what can approve, delegate, execute, escalate, or block the action.
required approver: security owner Coordination Graph
Map how work moves across agents, tools, humans, queues, services, and documents.
agent -> CI -> reviewer -> merge gate Commitment Model
Treat contracts, policies, approvals, financial records, and regulated submissions as commitment-bearing artifacts.
who owes what, to whom, under which exception Decision Record
Preserve what happened, what it meant, what evidence supported it, and why the system allowed, blocked, or escalated.
decision: escalate, reason: evidence incomplete 02 Surfaces
Product surfaces emerging from review work.
Semantiv is not claiming a finished horizontal platform today. Repeated review patterns point toward a workbench, SDK/API primitives, evidence infrastructure, coordination models, and domain packs.
WorkbenchReview traces, tool calls, documents, workflows, approvals, and control points.SDK/APIRepresent action meanings, evidence packets, authority contexts, coordination graphs, and decision records.Domain packsReusable patterns for code, security, finance, contracts, healthcare, and enterprise operations.
runtime path recordable
- 01 behavior
- 02 meaning
- 03 evidence
- 04 authority
- 05 coordination
- 06 control
- 07 record
03 POC
A concrete prototype surface: GitHub agent behavior review.
GitHub is useful because coding agents are visible, powerful, and risky. The point is not GitHub controls. The point is translating agent behavior into operational meaning, evidence, authority, and a control decision.
BehaviorTrace -> ActionMeaning -> EvidencePacket -> AuthorityContext -> ControlRecommendation -> DecisionRecord
Next step
Use one production workflow to expose the runtime primitives you actually need.
The first useful step is not a broad platform rollout. It is a reviewable slice where agent behavior, evidence, authority, and control can be made explicit.