刘浩天

Deterministic playbooks for agent actions is the right instinct. The hard part is detecting when an agent is technically executing within policy but pursuing the wrong sub-goal — which won't trigger a rule violation but still produces bad outcomes. Curious how you handle that gap between rule compliance and intent alignment.

The IAM-for-agents framing is interesting. Most access control systems assume deterministic actors — agents break that assumption because the same agent with the same permissions can behave very differently depending on context mid-run. How does Agentfield handle policy enforcement when an agent's effective goal has drifted from its original task, even within the same session?

Great execution on the real-time visibility problem. The sub-agent spawning scenario you describe is exactly where most logging tools fall apart. One gap I keep running into: tools that show what the agent did, but not what it was supposed to do at that step. The deviation between stated intent and actual execution is often where the real failure hides — and it's invisible in a standard trace....