I Connected 9 Productivity Apps to One AI (Not the Way You Think)
The speaker demonstrates how to connect 9 productivity apps to Claude AI using MCPs (Model Context Protocol) to create a unified productivity system with full context awareness. The key innovation is the new My ICO MCP that provides Claude access to the speaker's entire productivity framework, enabling AI to understand and manage work across all connected tools.
Summary
The speaker discusses the evolution of AI integration in productivity tools, noting that early implementations like AI in Notion and ClickUp lacked sufficient context. Notebook LM improved this by allowing more context input, but the real breakthrough is MCPs—which connect external tools to Claude, providing comprehensive context across the entire productivity stack. The speaker connects multiple tools including ClickUp, Mirror, Heptabase, Readwise, Notebook LM, Gmail, Apple Notes, and Todoist to demonstrate how Claude can access information from all sources simultaneously.
A critical insight is that connecting these tools without proper structure creates problems for AI performance. The speaker emphasizes applying the ICO (Idea, Incubator, Organization) methodology across all tools so Claude can understand the underlying structure and efficiently find, compare, and organize information.
The speaker reveals a new My ICO MCP available to members, which allows Claude to access productivity system data including growth assignments, tool stack information, and course progress. This provides Claude with meta-level understanding of how the user's productivity system is structured and implemented. Rather than replacing specialized tools, MCPs enhance them by providing Claude with necessary context.
The speaker notes that this technology will likely cause some tools to become obsolete (citing how a new application replaced Day One and Mine Sera for their co-creator Paco), and predicts 2026 will be when individuals widely start building custom AI-powered solutions. However, the speaker emphasizes that success requires foundational understanding of tool-agnostic concepts and workflows, not just coding knowledge.
Key Insights
- Early AI implementations in tools like Notion and ClickUp felt disconnected because they lacked sufficient context about the user's broader productivity system and information landscape.
- MCPs are the real breakthrough for AI productivity because they allow Claude to connect to external tools and access full context across the entire user's tool stack, not just information within a single application.
- Connecting multiple productivity tools to Claude without proper structure and organization makes it difficult for AI to find the best information, so applying consistent methodologies like ICO across all tools is crucial for AI performance.
- The new My ICO MCP provides Claude with meta-level context about how well a user's productivity system is implemented by accessing growth assignments, tool stack information, and course progress across the entire My ICO platform.
- The speaker predicts that 2026 will be when AI-powered custom solutions become mainstream and individuals will build their own replacements for existing tools, but success requires foundational understanding of tool-agnostic workflows, not just coding knowledge.
Topics
Transcript
[0:00] What many people misunderstand is they always looked and I questioned this already since day one when AI got implemented into tools notion clickup he to run this locally inside the tools and ask questions and I always and I'm sure many of you out there too felt disconnected lack of context they wanted to get more context then we had notebook LM notebook became so powerful because now I was able to provide a lot more context throw it in share whatever comes [0:30] across no matter if it is YouTube videos or whatever and get a lot of information out of it. And now we have Gemini and Gemini allows us now to connect to Notebook LM…
Full transcript available for MurmurCast members
Sign Up to AccessMore from ICOR with Tom | AI Productivity
I Can Build a $11 Billion Productivity App with AI (You Can Too)
The speaker demonstrates how modern AI models (Claude Sonnet 3.5) enable anyone to build sophisticated productivity applications without extensive coding knowledge, using the newly rebuilt myICOR membership platform as proof. He argues that pre-built platforms like Notion, Circle, and Mighty Networks are becoming obsolete as AI democratizes custom application development, and announces a live workshop teaching the conceptual and technical skills needed to build such apps.
I gave Claude 4 years of our work. It built this app.
A developer used Claude Sonnet 5.5 to build a fully functional ICOR-based productivity application in just one hour by providing the AI with four years of accumulated productivity knowledge and content. The resulting app successfully implements complex ICOR methodology concepts including inbox management, task prioritization, interruption handling, and life dimension tracking, though it needs UI/design refinement.
Claude just replaced every productivity app I use.
A content creator demonstrates how Claude's Sonnet 3.5 model with Code Interpreter can replace multiple productivity apps by building three fully-functional applications in under an hour with minimal prompting. The creator showcases a note-taking app with database features, a Mac application integrating their custom Obsidian plugins and ICOR life management methodology, and highlights the unprecedented speed and polish achievable without traditional development skills.
My AI team took 8 hours. Claude Sonnet 5.5 took 15 minutes.
A creator comparing an 8-hour AI team project with a 15-minute Claude Sonnet 5.5 solution reveals that excessive guardrails and restrictions paradoxically hindered the multi-agent system's performance. The speaker demonstrates how reducing constraints and context allows AI to produce more creative and functional results, though both approaches have significant limitations for production use.
Your knowledge should outlive every AI tool you use.
The speaker clarifies the distinction between the ICOR methodology (a tool-agnostic productivity framework) and its implementations like the ICOR for Life scaffold and myPKA AI team, emphasizing that users can adopt the core principles in any tool they prefer. They announce plans to restructure their membership platform by separating these components to reduce confusion and help users understand they're not locked into specific tools or systems.