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My agent burned $200 in one night. So I built something that stops it.
How-ToMachine Learning

My agent burned $200 in one night. So I built something that stops it.

via Dev.toTal Nagar3h ago

I've been building AI agents for a while now. A few weeks ago I left one running overnight. Woke up to a $200 Anthropic bill. The agent got stuck in a loop — same API call, over and over, for 6 hours. Nobody noticed. After digging into it, I realized this wasn't just a "me problem." Agents get stuck. Retries cascade. Budgets blow up. And most of the time you only find out when the invoice arrives. So I built ARIA — guardrails for AI agents. It sits between your app and your AI provider (Claude, GPT, Gemini). It watches every call and catches: Agent loops — blocked at call #3, not call #100 Cascade failures — retries that multiply your costs 5x Budget overruns — hard stop when you hit $0 Duplicate calls — cached instantly, $0 cost Corrupted input — blocked before the model hallucinates on garbage It has two modes: Detection (default) — just watches and gives you a health report showing what's going wrong. Zero risk, doesn't touch anything. Prevention (beta) — actually blocks the failure

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