CoolDeep AI Digest

The article serves as a cautionary tale and a guide for AI users who treat advanced LLMs like Claude as simple search engines. The author admits that for two years, they utilized Claude in a superficial manner—opening a new chat, pasting context, asking a question, and closing the tab. This 'disposable' workflow meant every session started from zero, creating a productivity ceiling where the AI had no memory of the user's brand voice, goals, or previous work. The turning point occurred when the author discovered a comprehensive list of '100 Claude Tips,' which revealed a vast array of underutilized features such as Projects, Skills, MCP Connectors, Batch API, Prompt Caching, and Claude Code. The author argues that the true power of AI lies not in writing better individual prompts, but in building the infrastructure around those prompts to create compounding value. To help readers avoid the same mistake, the author outlines a transition from a basic tool user to a power user. The first key recommendation is the use of 'Projects,' which allows users to upload brand guidelines, reference documents, and tone instructions that persist across all conversations within that project. This eliminates the need to repeatedly paste the same context. The author also introduces the concept of 'Skills,' suggesting that any task performed more than twice should be encoded as a reusable skill to automate repeated work. Ultimately, the conclusion is that users must stop treating AI as a transactional search bar and start treating it as a customizable system to unlock its full potential.