Agent search bottlenecks are now about variance, not raw latency
rohanpaul_ai · x · 2026-07-22
- The post argues that the real bottleneck in agentic workflows is not just raw search latency, but latency variance.
- An agent may fire dozens of searches for a single question, and APIs built for human single-query behavior can become the production bottleneck.
- The example highlights a search service with 62 ms latency and only 6 ms spread between p50 and p90, suggesting predictability matters as much as speed.
- The takeaway: when search becomes fast and stable enough, it starts to feel less like a tool call and more like a memory read, which changes how the whole agent loop should be designed.
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