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Ask HN: How are you controlling AI agents that take real actions?

thesvp Tuesday, February 24, 2026

We're building AI agents that take real actions — refunds, database writes, API calls.

Prompt instructions like "never do X" don't hold up. LLMs ignore them when context is long or users push hard.

Curious how others are handling this: - Hard-coded checks before every action? - Some middleware layer? - Just hoping for the best?

We built a control layer for this — different methods for structured data, unstructured outputs, and guardrails (https://limits.dev). Genuinely want to learn how others approach it.

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