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How to Build Resilient AI Agents with Search Fallback Loops

This story is from 2026-10-06. It is preserved in the archive; the latest stories are on the live feed.

Building autonomous AI agents is incredibly rewarding until you deploy them to production and real-world data breaks your clean pipelines. A common bottleneck is the tool execution layer. When your agent invokes a vector DB search or a live web API, it assumes it will receive relevant data. But out…

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  1. 2026-10-06 17:36 · DEV Community — AI
    How to Build Resilient AI Agents with Search Fallback Loops

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