CoolDeep AI Digest

The article discusses the author's discovery and subsequent adoption of 'Claude Cowork,' a desktop application that differs significantly from the standard Claude Chat and the developer-focused Claude Code. While Claude Chat is a browser-based tool requiring manual context input for every session, Claude Cowork connects directly to a user's local files. This allows the AI to maintain a persistent memory of projects, read and write directly to documents, and eliminate the repetitive 'copy-paste' cycle that the author estimates wastes hours of productivity per month. The author describes Cowork as an employee with a permanent desk in the office who already knows the project context, rather than a temporary contractor who must be briefed daily. To optimize the experience, the author provides specific technical tips. First, they recommend using Obsidian as a Markdown translator. Since Cowork stores instructions and memory in .md files, Obsidian serves as a visual lens to render these files into a readable format similar to Notion or Google Docs, making the management of AI instructions much easier. Second, the author emphasizes the importance of keeping the 'CLAUDE.md' instruction file concise (under 300 lines). Because this file loads during every session, a bloated file consumes more tokens, slows down the system, and exhausts usage limits more quickly. The overall conclusion is that non-technical users can achieve massive efficiency gains by moving from a chat-based AI interaction to a file-integrated workspace.