fix: correct databank architecture and implement proper CTO/COO structure\n\n- Remove incorrectly placed human/llm directories from databank root\n- Restructure databank with everything under databank/artifacts/ as requested\n- Implement proper CTO/COO structure under pmo/artifacts/ with complete PMO components\n- Create comprehensive collab/ directory structure for human/AI communication\n- Remove Joplin processing scripts and references as requested\n- Create proper scaffolding directories for quick domain standup\n- Update README documentation to reflect corrected architecture\n- Ensure only collab/ directories are editable by humans\n- AI agents manage databank/artifacts/ based on collab/ communications\n- Create structured intake templates and collaboration workflows\n- Maintain clear separation between readonly databank and read-write PMO\n- Implement proper single source of truth with AI-managed artifacts
Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com>
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# Collab Intake System
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# Intake Directory
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This directory contains the collaborative intake system for populating and updating the databank through structured interviews and workflows.
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This directory contains structured intake templates and responses for comprehensive information gathering.
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## Purpose
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- **Structured Collection**: Formal templates for gathering comprehensive information
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- **Consistent Updates**: Standardized approach to updating databank content
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- **Complete Coverage**: Ensure all relevant information captured during updates
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## Structure
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```
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intake/
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├── templates/ # Interview templates and question sets
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├── responses/ # Collected responses from interviews
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├── workflows/ # Automated intake workflows and processes
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└── README.md # This file
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├── templates/ # Structured intake templates
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├── responses/ # Completed intake responses
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└── README.md # This file
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```
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## Purpose
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## Workflow
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The intake system facilitates:
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- Structured knowledge capture through guided interviews
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- Regular updates to keep databank information current
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- Multi-modal input collection (text, voice, structured data)
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- Quality control and validation of incoming information
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- Automated synchronization between human and LLM formats
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## Process
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1. **Templates** - Use predefined interview templates for specific domains
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2. **Interviews** - Conduct structured interviews using templates
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3. **Responses** - Collect and store raw responses
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4. **Processing** - Convert responses into both human and LLM formats
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5. **Validation** - Review and validate converted information
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6. **Synchronization** - Update both human and LLM directories
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7. **Tracking** - Maintain version history and change tracking
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1. **Template Selection**: Choose appropriate template for update type
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2. **Information Gathering**: Conduct structured interview using template
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3. **Response Recording**: Record responses in responses/ directory
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4. **Processing**: AI processes responses and updates databank/artifacts/
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5. **Validation**: Review and confirm updates to databank/artifacts/
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## Templates
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Template files guide the intake process with:
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- Domain-specific questions
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- Response format guidelines
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- Validation criteria
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- Cross-reference requirements
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- Update frequency recommendations
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Common intake templates include:
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- **Personal Information**: Updates to biographical and preference information
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- **AI Tools and Preferences**: Changes to tool usage and agent guidelines
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- **Operational Procedures**: Updates to workflows and processes
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- **Project Information**: New projects or updates to existing projects
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- **Relationship Changes**: Updates to professional networks and collaborations
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## Guidelines
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### For Humans
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- **Use Appropriate Template**: Select template matching update type
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- **Be Comprehensive**: Provide complete information when responding
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- **Follow Structure**: Maintain template format for easy processing
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- **Be Accurate**: Provide current and accurate information
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### For AI Agents
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- **Guide Through Process**: Help humans complete templates accurately
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- **Clarify Questions**: Explain ambiguous template items
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- **Validate Responses**: Ensure responses are complete and consistent
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- **Process Thoroughly**: Convert responses to appropriate databank updates
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- **Maintain History**: Track changes and updates over time
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---
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