When an LLM plans an executable agent DAG, where do you draw the trust boundary?
Repulsive_Sugar_5252 · reddit · 2026-09-16
A developer building hospilot argues that when an LLM plans a DAG of agents that will actually execute, errors are fundamentally different from chatbot mistakes: a wrong edge means an agent running that shouldn't, in an order the model chose.
His mitigations: per-agent manifest scoping what each agent can touch, human approval gates for any state-changing action, and a validation pass on the generated plan before execution.
But he admits this only checks "is the graph legal/sane," not "is it the right graph" — and nothing catches that except a human eventually noticing, which undercuts the point of automation. He asks how others draw this line: validating plans, containing blast radius via permissions, or trusting the planner.
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