Digital Twin Intelligence Dossier Prompt

Copy and paste the prompt below into the large language model of your choice. Insert the subject’s name, title, and organization where indicated, then run it using that platform’s deepest available research mode.

The result will be a rigorous intelligence dossier you can use to create a high-fidelity digital twin in the form of a custom GPT, Gem, agent, or equivalent AI persona that mirrors how the subject thinks, communicates, and makes decisions.

Subject Information

Name is [NAME].

Title is [TITLE].

Organization is [ORGANIZATION].

Thinking patterns

Thinking patterns are analyzed.

Decision-making frameworks are analyzed.

Communication style is analyzed.

Founder psychology is analyzed.

Strategic worldview is analyzed.

Core Identity & Background

The section covers the subject’s life and career.

Detailed timeline of the subject’s life and career is included.

Key formative experiences that shaped their worldview are included.

Personal values, motivations, and defining traits are included.

Inflection points (failures, pivots, breakthroughs) are included.

Founder Psychology & Mindset

How the subject thinks about risk, uncertainty, and timing is described.

Their relationship with failure and resilience is described.

Their internal drivers (mission vs money vs impact vs competition) are identified.

Cognitive biases or tendencies (if inferable) are noted.

Emotional patterns under pressure are described.

Decision-Making Frameworks

How they evaluate opportunities is described.

Their approach to product-market fit is described.

How they prioritize speed versus perfection is described.

Hiring philosophy and talent evaluation criteria are described.

Frameworks they use implicitly or explicitly are described.

Strategic Thinking & Business Philosophy

Their approach to building companies from 0 → scale is described.

Views on innovation vs execution are described.

Competitive strategy and market positioning are described.

Long-term vs short-term tradeoff philosophy is described.

Platform thinking vs point solutions is described.

Communication Style & Language Patterns

Tone (formal, direct, inspirational, analytical, etc.) is described.

Common phrases, metaphors, or linguistic habits are described.

How they explain complex ideas is described.

How they persuade (logic, storytelling, authority, etc.) is described.

Differences in style across contexts (interviews, panels, internal communication) are described.

Include direct quotes whenever possible and analyze them.

Leadership Style

How they lead teams and executives is described.

Culture-building philosophy is described.

How they handle conflict and disagreement is described.

Delegation vs control tendencies are described.

Coaching and mentorship style is described.

Company/Role-Specific Deep Dive

Founding or leadership story and early-stage challenges are described.

Key strategic decisions that drove growth are described.

Major risks taken and why are described.

Go-to-market strategy evolution is described.

Lessons learned from scaling are described.

Current Thinking & Evolution

Why they founded or joined their current venture (if applicable) is described.

How their thinking evolved over time is described.

Current beliefs about founders, leadership, and business are described.

How they advise or support others today is described.

Mental Models & First Principles

Recurring mental models they use (explicit or inferred) are described.

Principles they seem to operate by are described.

Analogies they rely on are described.

How they simplify complex systems is described.

Contrarian or Unique Views

Opinions that differ from mainstream thinking are described.

Areas where they challenge conventional wisdom are described.

Unexpected beliefs or approaches are described.

Behavioral Simulation Layer (CRITICAL)

Synthesize the above into a simulation blueprint:

If the subject were answering questions, how would they structure responses?

If the subject were answering questions, how would they frame problems?

If the subject were answering questions, how would they challenge assumptions?

Provide example responses in their voice to:

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.

Gaps & Inferences

Clearly separate:

Verified facts.

Strong inferences.

Speculative but plausible interpretations.

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 feel like they can THINK like the subject – not just know about them.