How I Built Guardrails That Stopped My AI Agent From Going Rogue
SMRTR summary
After an AI support agent leaked a customer's email address on day three in production, a developer built a four-layer guardrail system to prevent future failures. The solution — input filtering, output validation, cost limits, and tool-call controls — adds only 40ms of overhead but stops data leaks, runaway API bills, and unauthorized tool use before they reach users.
SMRTR provides this summary for quick context. The original article belongs to Hacker Noon.
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