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Persistent Agents 正成为 AI 使用的新增长点

Dylan Patel (SemiAnalysis)@dylan522p
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Dylan Patel 说他们 45% 的 AI 花销已经花在持续运行的 agent 上了。他吐槽 Claude Tags 和 OpenAI 的 Slack agent 都不好用，反而推荐底层调多模型的 Perplexity Computer。做 agent 选型的值得看看。

Dylan Patel 发文称其团队的 AI 支出中已有 45% 用于 persistent agents（持久运行的智能体），而不是一次性对话式调用。他同时点评了市面上的产品：Anthropic 的 Claude Tags 体验很差，OpenAI 的 Slack agent 表现更糟。

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他们目前主要使用 Perplexity Computer，该产品会在底层调用多个不同模型来完成任务。Dylan 认为 Perplexity 的 harness（任务编排框架）明显优于竞品，是其在 agent 赛道上跑出来的关键。

这条观察对开发者选型有直接参考价值：agent 的竞争重心正从单模型能力转向 harness 层的编排和多模型调度能力，目前没有一家模型厂商的产品在这一形态上占优。

Original · Dylan Patel (SemiAnalysis)

Persistent Agents are the next unlock of AI usage Our spend on AI is now 45% persistent agents Unfortunately for Anthropic, Claude Tags sucks OpenAI's Slack agent is even worse We primarily use Perplexity Computer, which uses a lot of different models Perplexity's Harness mogs https://t.co/5F8BylIhuG

Industry Coordinates & Source Verification

This report is categorized under AITOP's "Industry" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Perplexity, Anthropic, OpenAI, Claude.

Source attribution: curated from Dylan Patel (SemiAnalysis) (@dylan522p).

#Perplexity#Anthropic#OpenAI#Claude#智能体

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