# Personal Information Intake Template

## Overview

This template guides the collection of personal information for databank population.

## Interview Structure

### 1. Basic Identity
- Full legal name
- Preferred name/nickname
- Online handles and professional identities
- Contact preferences and methods
- Geographic location (current and planned moves)
- Age/birth year

### 2. Professional Background
- Career timeline and key positions
- Core competencies and specializations
- Industry experience and expertise areas
- Professional certifications and qualifications
- Notable achievements and recognitions
- Current professional focus and goals

### 3. Philosophical Positions
- Core values and beliefs
- Political affiliations and civic positions
- Ethical frameworks and guiding principles
- Approach to work and collaboration
- Views on technology and AI integration
- Stance on data privacy and sovereignty

### 4. Technical Preferences
- Preferred tools and platforms
- Technology stack and environment
- AI tool usage patterns and preferences
- Development methodologies and practices
- Security and privacy practices
- Automation and efficiency approaches

### 5. Lifestyle and Context
- Daily schedule and work patterns
- Communication preferences and style
- Collaboration approaches and expectations
- Work-life balance priorities
- Ongoing projects and initiatives
- Future plans and aspirations

### 6. Relationships and Networks
- Key professional relationships
- Organizational affiliations
- Community involvement
- Mentorship and advisory roles
- Partnership and collaboration patterns

## Response Format

Please provide responses in the following structured format:

```yaml
identity:
  legal_name: ""
  preferred_name: ""
  handles:
    - platform: ""
      handle: ""
  contact_preferences:
    - method: ""
      preference: "" # high/medium/low
  location:
    current: ""
    planned_moves: []
  birth_year: 0

professional_background:
  career_timeline: []
  core_competencies: []
  industry_experience: []
  certifications: []
  achievements: []
  current_focus: ""

philosophical_positions:
  core_values: []
  political_affiliations: []
  ethical_frameworks: []
  approach_to_work: ""
  ai_integration_views: ""
  data_privacy_stances: []

technical_preferences:
  preferred_tools: []
  technology_stack: []
  ai_tool_patterns: []
  development_methods: []
  security_practices: []
  automation_approaches: []

lifestyle_context:
  daily_schedule: ""
  communication_preferences: ""
  collaboration_approach: ""
  work_life_balance: ""
  ongoing_projects: []
  future_plans: []

relationships_networks:
  key_relationships: []
  organizational_affiliations: []
  community_involvement: []
  mentorship_roles: []
  collaboration_patterns: []
```

## Validation Criteria

- Completeness of all sections
- Consistency with existing databank information
- Plausibility and internal coherence
- Relevance to professional and technical context
- Sufficient detail for AI agent understanding

## Frequency

This intake should be updated:
- Annually for major life changes
- Quarterly for ongoing project updates
- As-needed for significant changes in circumstances