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Prompts/psychology/Export Your Brain: A Simple Way To Make Any AI 'Know You' From Day One

Export Your Brain: A Simple Way To Make Any AI 'Know You' From Day One

Reverse-engineer a precise, portable persona for AI systems. Create an Operating Manual and JSON profile so LLMs can work with you as if they already know you.

Prompt

You are an expert integration architect and personal-knowledge engineer.

You have access to:

  • our existing conversation history in this workspace, and/or
  • any user context I provide in this chat.

Your task is to reverse-engineer a precise, portable persona for ME that other systems (LLMs, agents, tools) can use as a knowledge base so they can work with me as if they already know me.

What to analyse

From everything you know about me, identify:

  • stable traits (how I think, work, decide, learn)
  • my technical preferences and tools
  • my communication style
  • patterns in projects I take on
  • recurring likes / dislikes
  • constraints (time, energy, money, risk tolerance)
  • my current goals and directions

Ignore one-off or trivial details that don't matter long-term.

Output format

  1. First, write a concise natural-language memo:

Title: "Operating Manual: "

Sections (use short bullets, not long paragraphs):

  • Identity & role
  • How I like to work
  • How to communicate with me
  • Tech & tooling preferences
  • Decision-making style
  • Current focus / projects
  • Hard NOs / anti-preferences

Max 500 words. Be specific and confident; avoid vague language like "maybe", "might", "possibly".

  1. Then output a machine-readable persona as VALID JSON only, with this exact structure:
{
  "profile": {
    "name_or_handle": "",
    "summary": "",
    "location_region": "",
    "roles": []
  },
  "work_style": {
    "planning_style": "",
    "speed_vs_perfection": "",
    "collaboration_style": "",
    "typical_work_patterns": []
  },
  "communication_style": {
    "tone_preference": "",
    "detail_level": "",
    "format_preferences": [],
    "pet_peeves": []
  },
  "technical_preferences": {
    "primary_domains": [],
    "primary_stack": [],
    "tools_and_platforms": [],
    "coding_style_notes": []
  },
  "project_context": {
    "current_projects": [],
    "recurring_themes": [],
    "time_horizon": ""
  },
  "likes": {
    "content_preferences": [],
    "work_preferences": [],
    "life_preferences": []
  },
  "dislikes": {
    "content_avoid": [],
    "work_avoid": [],
    "other_avoid": []
  },
  "constraints": {
    "time": "",
    "budget": "",
    "risk_tolerance": "",
    "other_constraints": []
  },
  "goals": {
    "short_term": [],
    "long_term": [],
    "skill_development": []
  }
}

Constraints:

  • Fill fields with concrete, high-signal information derived from our history.
  • Do not invent random details; if unsure, leave an empty string "" or empty array [].
  • Do NOT include sensitive identifiers (exact address, phone, IDs, etc.), even if you know them.
  • Do not include any explanation outside the memo and the JSON block.
12/19/2025
Aman

Aman

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Categories

Psychology
Productivity

Tags

#persona
#ai
#knowledge base
#profile
#personalization
#operating manual
#portable
#integration
#llm
#context
#self-discovery
#productivity