[Day 1] What's Causing the AI Hamster Wheel?

Identifies three root causes keeping people stuck in unproductive AI workflows.

Key Ideas

Three reasons for the hamster wheel: (1) The chat window trained us wrong -- the open/ask/close pattern means starting from zero every time, and AI memory degrades in long conversations. (2) The "Magic Prompt Fantasy" -- YouTube tutorials promise copy-paste solutions, creating prompt collectors who never build compounding systems. (3) The AI Innovation Tsunami -- weekly model launches and tool releases create perpetual FOMO that prevents committing to any single approach. Core reframe: LLMs were designed to answer questions, not execute tasks. Getting an answer is fundamentally different from getting work done.

RDCO Mapping

The three-cause framework is a clean diagnostic that could structure Sanity Check content. The distinction between "answering machines" and "work execution" is a useful framing for AI tool evaluation content. The prompt-collecting-as-Pokemon-cards metaphor is memorable.