How to Build an AI Support Agent That Knows When NOT to Answer Tickets
SMRTR summary
A stolen credit card. A confident AI chatbot. An outdated phone number. That small scenario captures a massive design flaw running through most AI support systems today.
A full-stack software engineer competing in a 24-hour solo hackathon built something different: an AI support agent designed, above all else, to know when NOT to answer. The system routes sensitive tickets like fraud or data deletion straight to humans, before any response is generated. A pure Python function, with no AI involved in the decision itself, handles the routing. Two independent AI judges then verify any drafted response, with a third stepping in when they disagree.
The engineer finished 9th out of 1,349 participants. But perhaps the more valuable takeaway is the honest confession that followed: over-engineering the pipeline while under-investing in labeled training data cost real points.
As the engineer put it, "don't measure your AI agent by how much it automates. Measure it by how reliably it knows what NOT to answer."
SMRTR provides this summary for quick context. The original article belongs to Daily.dev.
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