Five-Layer Cognitive Extraction
The distillation process extracts your expertise across five layers, from “how you understand the world” to “when to say I don’t know”:1
Mental Models
The foundational frameworks through which you understand the world. Not knowledge points, but the ways you organize knowledge.The extraction standard is triple validation: cross-domain recurrence (the same thinking framework appears in 2+ domains), generative power (can infer your stance on new problems), and exclusivity (not common knowledge everyone shares). Observations passing only 1 validation are downgraded to decision heuristics.
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Decision Heuristics
How you make choices in specific scenarios. When facing a trade-off between A and B, what’s your first instinct? What signals would immediately change your judgment? Under what conditions would you choose “don’t act”?
3
Expression DNA
Your unique communication fingerprint — sentence length, analogy density, certainty ratio, transition frequency. Not “imitating how you talk,” but quantifying your expression characteristics so the Expert’s output style matches yours.
4
Anti-Pattern Library
More important than “knowing what to do” is “knowing what not to do.” What kind of advice would you ridicule? Which “common sense” is actually a misconception in your view? What practices are absolutely forbidden in your framework?
5
Honesty Boundaries
A trustworthy Expert must know what it doesn’t know. This layer defines scenarios where the Expert should proactively say “I’m not sure” or “I’d suggest consulting another expert.”
The Distillation Process
Distillation is not filling out a form — it’s an AI-led deep conversation:1
Upload materials
Upload materials related to your expertise — articles, speeches, code repositories, conversation logs, even ZIP archives. The distillation AI reads through all materials first to build an initial understanding.
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Conversational interview
The distillation AI asks you questions. It doesn’t ask “what do you do,” but rather “when you face the contradiction between A and B, what’s the first instinct in your mind.” The AI asks, you answer — you’re not writing a prompt.
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Cognitive structuring
Five layers of cognitive structure are extracted from the conversation, with each extraction traced back to specific material evidence.
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Persona crystallization
The structured cognitive profile is transformed into an executable Expert persona — a set of runtime configurations that guide the AI on “how to think.”
5
Scenario calibration
The Expert’s performance is tested against real scenarios, and deviations are corrected. Every correction is recorded and iteratively optimized. This is the critical step from “roughly correct” to “precisely reproduced.”
Cross-Platform Migration
Already have extensive materials on other platforms? The distillation AI can directly identify and extract from them:Project config files
Upload .cursor/ directories, AGENTS.md, code convention files to extract coding philosophy and decision preferences.
AI conversation logs
Import historical conversations with Claude Code, Cursor, and other AIs to extract thinking patterns from your instructions and feedback.
Bulk material packages
ZIP-package article collections, note libraries, or knowledge base exports for one-time deep analysis.
Distillation vs Traditional Methods
Levels and Progression
Distillation quality directly impacts Expert level. Higher quality distillation — more complete mental models, more precise Expression DNA, clearer honesty boundaries — means higher creator levels and better marketplace performance for the Expert.The goal of cognitive distillation is not to create a “perfect imitation” — but to create a digital agent that inherits core thinking frameworks and can make “the kind of judgment this person would make” in new scenarios. It’s an extension of cognition, not a copy of behavior.