This taxonomy is developed by practitioner Taylin John Simmonds. It functions primarily as a framework for audience psychology and content strategy rather than formal cognitive science. Its purpose is to distinguish between content that merely informs an audience and content that fundamentally alters their worldview. In the context of AI generation, it highlights the severe limitations of using Large Language Models (LLMs) to generate deeply original, paradigm-shattering thought.
The distinction between Tier 1 and Tier 2 ideas is a mental model for categorizing the psychological impact of a concept. Rather than judging an idea by its topic or length, this framework judges an idea by how violently it challenges the reader's pre-existing schemas 1.
To understand the difference, consider the analogy of navigating a foreign city.
Tier 1 ideas provide immediate, recognizable, tactical value. They operate strictly within the reader's existing paradigm. They do not challenge the reader's identity, beliefs, or worldview.
Manifestation / Implementation: These manifest as "How-To" guides, lists of specific tools, productivity hacks, and operational templates. They take scattered knowledge the audience inherently agrees with and structures it elegantly. Diagnostic Signs: The audience's reaction is almost always: "Oh, that's really useful, I've bookmarked that for later." The audience feels smarter, but they do not feel transformed. The AI Default Problem: LLMs are absolute masters of Tier 1 ideas. Because an LLM is a mathematical matrix designed to predict the most statistically probable next word, it naturally gravitates toward consensus. It will effortlessly reorganize existing data into a highly readable, perfectly formatted listicle. If a creator relies on an unconstrained LLM for ideation, they will exclusively produce Tier 1 content.
Tier 2 ideas are psychologically demanding. They require deep psychological framing because they are attacking the underlying assumptions, limiting beliefs, and foundational frameworks of the audience. They do not give the audience what they want; they dismantle what the audience currently believes.
Manifestation / Implementation: These manifest as philosophical essays, contrarian manifestos, and fundamental re-framings of an industry (e.g., "Why everything you know about productivity is actually burnout disguised as virtue"). Diagnostic Signs: The audience's reaction is visceral. They may initially resist, feel threatened, or experience a profound "aha" moment. The audience does not say "That's useful." They say, "I never thought about it that way before." The AI Obstacle: LLMs organically resist generating Tier 2 ideas. To generate a Tier 2 idea, one must intentionally defy the established consensus, which runs entirely counter to the LLM's probability weighting. An LLM wants to regress to the mean; a Tier 2 idea requires breaking the mean entirely.
To force an AI to assist in Tier 2 ideation, Taylin uses a deliberately constrained constraint protocol via a specialized "Big Idea Bot."
Implementation Protocol: You cannot simply prompt an AI to "give me a contrarian idea." It will give you a statistically common cliché of a contrarian idea. Instead, the Big Idea Bot is constructed with immense psychological constraints. It is programmed to:
By doing this, the creator uses the AI not to generate the spark of the idea, but to structurally engineer the psychological pathway necessary to deliver a Tier 2 idea effectively.
For self-testing — cover the page and try to answer these from memory