Beyond LLMs: The Whole Product Framework for AI
What Maslow's hierarchy of needs, Levitt's whole product model, and Geoffrey Moore's crossing the chasm can teach us about building AI products that actually ship.
From product frameworks to agentic systems to compound moats — what it takes to build whole AI products in 2026.
3 parts
What Maslow's hierarchy of needs, Levitt's whole product model, and Geoffrey Moore's crossing the chasm can teach us about building AI products that actually ship.
From compound AI systems to the agentic loop, MCP, APIs, frameworks, and the rise of the Claws — a technical map of what it takes to build with AI agents in 2026.
What makes one AI product defensible against another? Data, specialization, compound moats, and how the whole AI product stack maps to Moore's technology lifecycle.