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A comment on Ask HN: How are you controlling AI agents that take real actions?. Parent comment

Re:Ask HN: How are you controlling AI agents that take real ... by thesvp on Tuesday February 24, 2026 @09:02PM (#47146366)
we're building the platform that manage all policies of the agent

check out our launch post https://news.ycombinator.com/item?id=47146354

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Re:Ask HN: How are you controlling AI agents that take real ... by vincentvandeth on Wednesday February 25, 2026 @02:18AM (#47148421)
Nice — just checked it out. The interceptor approach makes sense for teams that need policy enforcement across multiple agents.

Interesting difference in philosophy though: Limits enforces rules defined upfront, while what I built learns rules from production receipts. After 1100+ task completions, the dispatch patterns look completely different from what I would have designed on day one.

Probably complementary — you'd want both. Pre-defined guardrails for the dangerous stuff (your approach), and pattern evolution for the quality/efficiency stuff (mine).

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