Category Manifesto

Legitimate Execution Governance

AI agents need a governance layer between reasoning and execution.

The central question is no longer only "can the agent call a tool?" It is "is this execution legitimate with this intent, this context, and this path?"

Governance Question before execution
  1. IntentIs the purpose valid and clear?
  2. ContextAre the facts fresh, allowed, and sufficient?
  3. PathIs the tool sequence approved?
  4. AuditCan the decision be explained later?

Manifesto

Execution is the moment of risk.

Agent frameworks help systems reason, plan, and call tools. But enterprise trust depends on a different control point: the exact moment before an action affects customers, data, infrastructure, or money.

01

Reasoning is not approval

A plausible plan is not the same as authorization to execute it.

02

Context can expire

Facts that were safe minutes ago may be stale or incomplete now.

03

Paths can drift

An agent may skip a required step even when the final action looks familiar.

Planoryx Position

Legitimate execution should be explicit.

Planoryx starts with AGEC because developers need a small, testable way to put this control point into real agent systems today.

Pre-execution

The gate runs before side effects, not after observability catches them.

Structured

Intent, context, and execution path are first-class inputs.

Auditable

Every decision needs a reason, not just a yes/no outcome.