Claude 的秘密：AI 聪不聪明，取决于你给它什么工具

Core Insights - Anthropic has introduced new features in Claude that allow direct creation and editing of various mainstream office files, expanding AI's application in practical tasks [1] - The company emphasizes a shift in mindset towards designing tools for AI agents rather than traditional coding practices [3] - The effectiveness of AI agents is heavily reliant on the quality and design of the tools provided to them [8] Group 1: Tool Design Principles - The core principle is to design intuitive and user-friendly tools for uncertain, reasoning AI, rather than focusing solely on input-output like traditional programming [3] - Tools should be evaluated through real and complex tasks to ensure they meet practical needs and can identify genuine issues [4] - It is more beneficial to create integrated workflow tools that handle multi-step tasks rather than offering a collection of fragmented API functionalities [5] Group 2: Tool Evaluation and Improvement - Clear and precise descriptions of tools are crucial, as they are the only means for AI to understand their purpose [6] - The process of building and testing tool prototypes should involve comprehensive evaluations to measure performance and iteratively improve the tools [15][21] - Engaging AI agents in the evaluation process can help analyze results and refine tools effectively [33] Group 3: Effective Tool Usage - Selecting the right tools is essential; more tools do not necessarily lead to better outcomes, and tools should be designed with the unique capabilities of AI agents in mind [36] - Tools should be organized into namespaces to avoid confusion among AI agents when selecting which tool to use [39] - Returning meaningful context from tools is important, prioritizing high-information signals over technical identifiers [42] Group 4: Future Outlook - The approach to building effective tools for AI agents must evolve from predictable, deterministic patterns to non-deterministic models [54] - A systematic, evaluation-driven method for improving tools will ensure that as AI agents become more powerful, the tools they use will also evolve accordingly [54]