Build a system where new data from meetings or intel is automatically appended to existing project or person-specific files. This creates "living files" that compound in value, giving the AI richer, ever-improving context over time, unlike stateless chatbots.

To maximize an AI assistant's effectiveness, pair it with a persistent knowledge store like Obsidian. By feeding past research outputs back into Claude as markdown files, the user creates a virtuous cycle of compounding knowledge, allowing the AI to reference and build upon previous conclusions for new tasks.

Create custom commands that automatically pass a curated set of context files (e.g., daily notes, project descriptions, personal workflows) to an AI agent in a single step. This dramatically speeds up delegation by eliminating repetitive manual setup and context-feeding.

Go beyond single-chat prompting by using features like Claude's "Projects." This bakes in context like brand guidelines and SOPs, creating an AI "second brain" that acts as a strategic partner, eliminating the need to start from scratch with each new task.

Claude Code's terminal-based interaction within a specific folder allows it to automatically read and reference local files. This makes "context engineering" drastically faster and more powerful than manually pasting information into a traditional chat interface, as the context is implicitly understood.

Instead of using siloed note-taking apps, structure all your knowledge—code, writing, proposals, notes—into a single GitHub monorepo. This creates a unified, context-rich environment that any AI coding assistant can access. This approach avoids vendor lock-in and provides the AI with a comprehensive "second brain" to work from.

Most users re-explain their role and situation in every new AI conversation. A more advanced approach is to build a dedicated professional context document and a system for capturing prompts and notes. This turns AI from a stateless tool into a stateful partner that understands your specific needs.

Treat a simple folder on your computer as a "project" in Cowork. This folder, containing context files like a "brain.md," becomes a persistent and transferable memory hub, ensuring the AI always has the right context without starting from scratch on new tasks.

Instead of jumping between apps, top PMs use a central tool like Claude Desktop or Cursor as a 'home base.' They connect it to other services (Jira, GitHub, Sanity) via MCPs, allowing them to perform tasks and retrieve information without breaking their flow state.