Guardrails

Guardrails are the rules and checks that keep an AI agent inside safe, sensible bounds, what it's allowed to say, which actions it can take, what it must refuse, and where it has to stop and ask. They sit around the model: input filters, output checks, permission limits, and hard blocks on anything irreversible like sending money or deleting data.

For a founder this is what makes it safe to actually deploy an agent rather than just demo one. The model is capable and occasionally wrong, so guardrails are how you cap the downside: read-only access by default, a human approval on anything that touches money or a customer, a refusal list for off-brand or risky requests. They matter because the failure mode of an unguarded agent isn't a wrong answer, it's a confident wrong action. Build the guardrails before you give the agent real reach, not after the first incident.