The AI Productivity Podcast
MurmurCast publishes AI-generated summaries of The AI Productivity Podcast’s YouTube episodes — 4 summarized so far, covering myPKA concept and architecture, Three-layer system structure (AI, folder, front-end), ICOR methodology and implementation, Tool-agnosticism and flexibility, Obsidian as front-end interface, Agent-based system design (Larry, Pen, Nolan). Each summary distills the key insights, topics, and takeaways so you can decide what’s worth your time before pressing play.
myPKA Is Not Obsidian. Neither Is ICOR for Life.
Tom and Parker clarify that myPKA is a concept for building AI-assisted productivity systems using a local folder architecture, not a tool. They explain the three-layer system structure (AI LLM layer, local folder layer, and front-end interface layer) and why Obsidian was chosen as the recommended front-end while maintaining tool-agnosticism. The ICOR methodology provides the underlying framework regardless of which tools are used.
Obsidian Is the Surface. Here Is Where myPKA Fits.
The speakers clarify the architecture of their myPKA (Personal Knowledge Assistance) system, explaining how it consists of three independent layers: AI LLM services (Claude, ChatGPT), a local folder structure with markdown files, and a front-end interface (such as Obsidian). They emphasize that Obsidian is merely one optional tool for navigating the underlying system, not a replacement or lock-in, and demonstrate how the same core methodology can be implemented with different front-ends.
Obsidian is just a shell. Your knowledge folder is the real system.
Tom and Paco discuss how Obsidian is merely a shell for implementing the tool-agnostic iCore methodology, emphasizing that the underlying knowledge folder structure and methodology matter far more than any specific application. They introduce iCore for Life, a free Obsidian scaffold with custom plugins designed to help users understand and implement the productivity system's concepts and workflows.
Stop copying our AI setup. Copy how we think.
Tom and Paco discuss their different approaches to building AI-integrated productivity systems, emphasizing that the methodology (IICOR) should be implemented flexibly based on individual thinking styles and workflows rather than copied exactly. They showcase various visualization tools for managing deliverables, team knowledge, and work streams while stressing the importance of documentation and local folder structures over relying on external databases.