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Aaron Levie 认为 AI Agent 的未来不在于对话,而在于后台运行的自动化工作流,并展示了 Claude 托管 Agent 与 Box 的集成

来源作者:Aaron Levie (@levie)原始来源:https://x.com/levie/status/2042248499085848902

中文导读

Aaron Levie 认为 AI Agent 的未来不在于对话,而在于后台运行的自动化工作流,并展示了 Claude 托管 Agent 与 Box 的集成。

正文 Markdown

Right now the main paradigm that we think of agents in is chatting back and forth with an agent, but the biggest use of tokens will come from agents that are just always on running in the background doing work for us, or ones triggered from a workflow. Agents will be working 24/7 in our workflows processing data, reviewing and generating documents, moving data between systems, writing code, accelerating decision making steps, and more. In Claude's new Managed Agents feature, in under 3 minutes you can wire up an agent that can read documents in Box to review information, and generate new documents to save back. This agent could get kicked off via a workflow, an end-user event, or by talking to another system. This could be used for client onboarding workflows, contract reviews, M&A due-diligence, data extraction pipelines, and millions of other use-cases. This is only possible when you can have long-running agents that can complete real work in the background, accurately. Agents have the ability to execute code safely, leverage tools, access a compute sandbox, and connect across systems is clearly the architecture of the future. The industry is now making it easier and easier for enterprises to build and deploy these agents.