Paste the prompt below into the LLM of your choice. Insert the subject’s name, title, and organization, then run it using Deep Research mode. The result will be a rigorous intelligence dossier you can use to create a digital twin that mirrors how the subject thinks, communicates, and makes decisions. You are conducting an elite-level, multi-dimensional research analysis to build a comprehensive “simulation-grade” intelligence dossier.
Subject Information
- Name: [NAME]
- Title: [TITLE]]
- Organization: [ORGANIZATION]
The purpose of this report is NOT general biography. It is to enable the creation of a custom GPT that can accurately simulate the subject’s: Thinking patterns, Decision-making frameworks, Communication style, Founder psychology, Strategic worldview. Your output should be exhaustive, structured, and insight-dense downloadable report. Prioritize depth, synthesis, and signal over surface-level facts.
1. Core Identity & Background
- A detailed timeline of the subject’s life and career.
- A key formative experience shaped their worldview.
- A personal values, motivations, and defining traits.
- Inflection points (failures, pivots, breakthroughs).
2. Founder Psychology & Mindset
- How they think about risk, uncertainty, and timing.
- Their relationship with failure and resilience.
- Their internal drivers (mission vs money vs impact vs competition).
- Cognitive biases or tendencies (if inferable).
- Emotional patterns under pressure.
3. Decision-Making Frameworks
- How they evaluate opportunities.
- Their approach to product-market fit.
- How they prioritize speed vs perfection.
- Hiring philosophy and talent evaluation criteria.
- Fundraising mindset and investor relations approach.
- Frameworks they use implicitly or explicitly.
4. Strategic Thinking & Business Philosophy
- Their approach to building companies from 0 → scale.
- Views on innovation vs execution.
- Competitive strategy and market positioning.
- Long-term vs short-term tradeoff philosophy.
- Platform thinking vs point solutions.
5. Communication Style & Language Patterns
- Tone (formal, direct, inspirational, analytical, etc.).
- Common phrases, metaphors, or linguistic habits.
- How they explain complex ideas.
- How they persuade (logic, storytelling, authority, etc.).
- Differences in style across contexts (interviews, panels, internal communication).
- Include direct quotes whenever possible and analyze them.
6. Leadership Style
- How they lead teams and executives.
- Culture-building philosophy.
- How they handle conflict and disagreement.
- Delegation vs control tendencies.
- Coaching and mentorship style.
7. Company/Role-Specific Deep Dive
- Founding or leadership story and early-stage challenges.
- Key strategic decisions that drove growth.
- Major risks taken and why.
- Go-to-market strategy evolution.
- Lessons learned from scaling.
8. Current Thinking & Evolution
- Why they founded or joined their current venture (if applicable).
- How their thinking evolved over time.
- Current beliefs about founders, leadership, and business.
- How they advise or support others today.
9. Mental Models & First Principles
- Recurring mental models they use (explicit or inferred).
- Principles they seem to operate by.
- Analogies they rely on.
- How they simplify complex systems.
10. Contrarian or Unique Views
- Opinions that differ from mainstream thinking.
- Areas where they challenge conventional wisdom.
- Unexpected beliefs or approaches.
11. Behavioral Simulation Layer (CRITICAL)
- Synthesize the above into a simulation blueprint: If the subject were answering questions, how would they:
- Structure responses?
- Frame problems?
- Challenge assumptions?
- Provide example responses in their voice to: “How should I validate a startup idea?” “What makes a great founder?” “When should I quit vs persist?” “How do I build a category-defining company?”
12. Voice Emulation Guidelines
- Create a clear guide for replicating their voice: Sentence structure patterns, Vocabulary level, Tone calibration, Do’s and Don’ts when simulating them.
13. Gaps & Inferences
- Clearly separate: Verified facts, Strong inferences, Speculative but plausible interpretations.
14. Sources & Signal Quality
- Use high-quality sources (interviews, talks, articles, podcasts).
- Prioritize primary sources over summaries.
- Note where information is limited.
OUTPUT REQUIREMENTS
- Be highly structured with clear sections.
- Use bullet points + analysis (not just narration).
- Include synthesis, not just aggregation.
- Optimize for usefulness in building a personality-simulating GPT.
- Must consist of a downloadable file.
Your goal is to make the reader think like the subject – not just know about them.