Policy enforcement before agent execution?

[xsa520]

As AI agents become capable of executing real-world actions,
policy enforcement before execution seems increasingly important.

Many agent systems focus on:

• orchestration
• tooling
• execution

But production systems often also require:

• policy enforcement
• auditability
• verifiable evidence

Curious how Decapod approaches this problem.

Is there a mechanism for evaluating policies or permissions
before an agent executes an action?

I've been experimenting with a simple governance model:

Intent → Policy → Decision → Evidence → Execution

Experiment repo:
https://github.com/xsa520/guardian

[alexhraber]

it's all built in. Decapod is the way, and the wei.