Intent
What is the agent trying to do, where did the request come from, and is confidence high enough for this operation?
Legitimate Execution Governance
The product studio for governing AI agent execution.
Our first product is AGEC: a pre-execution governance layer that validates intent, runtime context, and execution path before AI agents trigger emails, CRM updates, code actions, data exports, or other irreversible business operations.
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The Category
What is the agent trying to do, where did the request come from, and is confidence high enough for this operation?
Are the facts fresh, complete, permitted, and suitable for the side effect about to happen?
Is the agent following an approved sequence, or did it skip a critical validation step before execution?
AGEC SDK
AGEC is not an agent framework. It is the decision layer that runs immediately before a tool, node, or callable executes.
decision = agec.validate(
intent=Intent(...),
context=Context(...),
execution_path=ExecutionPath(...),
)
if decision.status != "proceed":
block_execution()
Install with PyPI and add the gate where your tools run.
Clear decisions: proceed, review, suspend, halt, reauthorize.
Every decision carries a reason and audit ID.
Studio Vision
Define what each agent action requires before it can proceed.
Register tool sequences and detect path drift before execution.
Route review and reauthorize decisions to an approval workflow.
Search who asked, what context was used, and why the gate decided.
Product System
Planoryx Studio starts where developers need it most: a simple SDK that guards execution. The platform expands into centralized policy, approvals, observability, and enterprise integrations.
Pre-execution validation, adapters, audit logs, runnable demos.
Remote policy registry, approved path lifecycle, centralized audit.
Review queues, dashboards, templates, integrations, governance ops.
Positioning
Planoryx Studio makes execution legitimacy a first-class product category for the agentic AI era.
View AGEC on GitHub