247 lines
11 KiB
Markdown
247 lines
11 KiB
Markdown
# Date/Time
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Friday, October 24, 2025, 09:43:56 AM CDT (Timezone: America/Chicago)
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# Change Tracking/Revision Table
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| Date | Version | Description | Author |
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|------------|---------|--------------------------------------------------|---------------------|
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| 2025-10-24, 09:43:56 AM CDT | 7.0.0 | Add full date/time/timezone format guidance | Charles N Wyble (@ReachableCEO) |
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| 2025-10-24, 09:43:56 AM CDT | 6.0.0 | Add authority rules and filesystem truth guidance | Charles N Wyble (@ReachableCEO) |
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| 2025-10-24, 09:43:56 AM CDT | 5.0.0 | Add databank collab and artifacts structure | Charles N Wyble (@ReachableCEO) |
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| 2025-10-24, 09:43:56 AM CDT | 4.0.0 | Update PMO structure and documentation links | Charles N Wyble (@ReachableCEO) |
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| 2025-10-24, 09:43:56 AM CDT | 3.0.0 | Add guidelines for gorgeous commit messages | Charles N Wyble (@ReachableCEO) |
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| 2025-10-24, 09:43:56 AM CDT | 2.0.0 | Update for databank/PMO restructure | Charles N Wyble (@ReachableCEO) |
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| 2025-10-24, 09:43:56 AM CDT | 1.0.0 | Baseline AGENTS.md for mounting across all projects | Charles N Wyble (@ReachableCEO) |
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# Changelog
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| Date/Time | Version | Description |
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|----------------------------------------|---------|--------------------------------------------------|
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| 2025-10-24, 09:43:56 AM CDT | 7.0.0 | Added full date/time/timezone format guidance |
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| 2025-10-24, 09:43:56 AM CDT | 6.0.0 | Added authority rules and filesystem truth guidance |
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| 2025-10-24, 09:43:56 AM CDT | 5.0.0 | Added databank collab and artifacts structure |
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| 2025-10-24, 09:43:56 AM CDT | 4.0.0 | Updated PMO structure and documentation links |
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| 2025-10-24, 09:43:56 AM CDT | 3.0.0 | Added guidelines for gorgeous commit messages |
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| 2025-10-24, 09:43:56 AM CDT | 2.0.0 | Updated for databank/PMO restructure |
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| 2025-10-24, 09:43:56 AM CDT | 1.0.0 | Initial creation of baseline AGENTS.md |
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| 2025-10-24 | 5.0.0 | Added databank collab and artifacts structure |
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| 2025-10-24 | 4.0.0 | Updated PMO structure and documentation links |
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| 2025-10-24 | 3.0.0 | Added guidelines for gorgeous commit messages |
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| 2025-10-24 | 2.0.0 | Updated for databank/PMO restructure |
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| 2025-10-24 | 1.0.0 | Initial creation of baseline AGENTS.md |
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---
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# AGENTS.md - Guidelines for AI Agents in Restructured AI Home Directory
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## Core Operating Principles
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### Context Awareness
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- You are operating within a mounted AI home directory with separated databank (readonly) and PMO (read-write)
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- **Databank** (`/ai-home/databank/`): Contains readonly context, guidelines, and personal information
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- **PMO** (`/ai-home/pmo/`): Contains project management functionality where updates are allowed
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- Always consider the multi-project implications of your actions
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- Respect the readonly nature of the databank and only update PMO when appropriate
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### Communication Protocol
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- Primary communication channel: collab/ directory in mounted AI home directory
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- Use question -> proposal -> implementation workflow
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- Document all significant decisions and changes with proper revision tracking
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### Documentation Standards (Apply to ALL files you create)
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- **Date/Time Headers**: Include full date/time with timezone in all markdown files (date, time, timezone format)
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- **Change Tracking**: Maintain revision tables in all documents with full date/time/timezone
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- **Changelog**: Include changelogs in all source code files with full date/time/timezone
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- **Make It Beautiful Rule**: All documentation follows beautiful formatting standards (tables, bullet points, clear structure, visual hierarchy)
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## Repository Management
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### Structure Requirements
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- **Databank**: Readonly context (do not modify)
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- `databank/personal/` - Personal information
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- `databank/agents/` - Agent guidelines and tools
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- `databank/context/` - General context information
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- **PMO**: Read-write project management (updates allowed here)
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- `pmo/dashboard/` - Dashboard views
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- `pmo/projects/` - Project registry and tracking
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- `pmo/reports/` - Status reports
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- `pmo/resources/` - Resource management
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- `pmo/config/` - Configuration
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- Keep top-level repository clean (databank, pmo, and collab directories only)
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- Use conventional commits (chore:, feat:, docs:, fix:, etc.)
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- Commit frequently using atomic commits
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- Only commit to local repository (no git push operations)
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### Access Rights
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- **Databank (readonly)**: Access only, no modifications allowed
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- **PMO (read-write)**: Only update when project milestones reached or status updates needed
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- **Collab (readonly)**: Access for reference, no modifications in active projects
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## Development Workflow
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### Pre-Work Checklist
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- [ ] Read project-specific documentation first
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- [ ] Check collab/rules directory for project-specific guidelines (SECURITY.md, RELEASE.md, GITFLOW.md, etc.)
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- [ ] Review databank context for consistent understanding
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- [ ] Understand project dependencies and constraints
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### Implementation Standards
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- Follow conventional commits with beautiful, descriptive messages
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- Maintain consistency with existing codebase
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- Add appropriate documentation and comments
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- Consider maintainability and future extensions
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### Verification Process
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- Validate operations before execution
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- Run appropriate tests and quality checks
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- Verify outputs against expected outcomes
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- Implement defensive programming practices
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## PMO Update Guidelines
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### When to Update PMO
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- When project milestones are reached
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- When project status changes significantly
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- When new projects are initiated
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- When projects are completed or paused
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- When resource allocation changes
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### What to Update in PMO
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- Project registry in `pmo/artifacts/projects/`
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- Dashboard information in `pmo/artifacts/dashboard/`
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- Status reports in `pmo/artifacts/reports/`
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- Resource tracking in `pmo/artifacts/resources/`
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- Configuration in `pmo/artifacts/config/`
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### What NOT to Update
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- **Never modify databank files** - they are readonly
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- Do not create new top-level directories
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- Do not modify collab files in active projects
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- Do not add audit logs to this repository (audit logs belong in projects)
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## Best Practices for Solo Entrepreneur Workflow (14+ Hours Daily AI Usage)
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### Efficiency Optimization
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- Break complex tasks into atomic operations
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- Provide quick wins while building long-term value
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- Minimize context switching between projects
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- Optimize for rapid iteration and feedback
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### Decision Documentation
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- Document reasoning for complex decisions
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- Consider impact across multiple interconnected projects
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- Maintain traceability for future reference
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- Suggest alternatives when appropriate
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### Scalability Considerations
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- Design solutions that work across multiple project environments
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- Use modular, reusable components and patterns
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- Plan for increasing complexity as projects grow
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- Maintain consistent interfaces across projects
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## LLM Optimization Practices
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### Prompt Engineering
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- Structure requests with clear context from mounted AI home directory
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- Use explicit, unambiguous language
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- Provide sufficient context without unnecessary verbosity
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- Break multi-step processes into clear, sequential instructions
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### Code Generation
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- Follow established project patterns and conventions
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- Maintain consistency with existing code style
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- Add appropriate error handling and validation
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- Consider performance implications
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### Quality Assurance
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- Implement appropriate testing strategies
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- Ensure code quality and maintainability
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- Perform validation against requirements
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- Include appropriate logging and monitoring
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## Security, Compliance & Quality
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### Security Practices
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- Verify file permissions and access controls
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- Sanitize all inputs and outputs appropriately
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- Protect sensitive information and credentials
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- Follow secure coding principles
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### Compliance & Accessibility
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- Follow accessibility standards (WCAG when applicable)
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- Consider internationalization requirements
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- Ensure compliance with relevant regulations
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- Maintain proper documentation for audit purposes
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### Performance Standards
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- Optimize for efficient processing
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- Consider resource usage and constraints
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- Implement appropriate caching strategies
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- Monitor and optimize for performance
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## Git and Version Control
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### Commit Standards
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- Use conventional commits with semantic meaning
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- Make commits atomic (one logical change per commit)
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- Write gorgeous, verbose commit messages when needed
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- Include comprehensive context and detailed descriptions
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- Follow the aesthetic principles of beautiful commits
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### Guidelines for Gorgeous Commit Messages
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- Be verbose and comprehensive when it adds value
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- Include context about why the change was made
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- Explain the impact of the changes when relevant
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- Use clear, descriptive language that future-you will understand
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- Follow the format: "type(scope): short description" for the first line
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- Add a blank line followed by detailed explanation when needed
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- Include any relevant references (issues, discussions, etc.)
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- Aim for beauty in both form and function
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- Think of commit messages as documentation for the changes
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### Branching and Merging
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- Follow project-specific branching strategies
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- Respect existing GitFlow patterns
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- Use feature branches for significant changes
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- Maintain clean commit history
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## Environment Consistency
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### Context Integration
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- Recognize that databank is mounted readonly across multiple environments
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- PMO is mounted read-write for project tracking
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- Maintain consistency in behavior across different projects
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- Respect environment-specific configurations
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### Collaboration and Artifacts
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- Use `databank/collab/` for human/AI interaction and communication
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- Use `databank/artifacts/` for AI-managed content (docs, code, config, templates)
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- AI has full management control over `databank/artifacts/` directory
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- Human interaction primarily occurs in `databank/collab/` directory
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- The AI manages the `databank/artifacts/` directory structure as needed
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- Common pattern: `databank/artifacts/docs/`, `databank/artifacts/code/`, `databank/artifacts/config/`, etc.
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- Maintain clean separation between human-managed and AI-managed resources
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- Follow consistent naming conventions across artifacts
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### Authority and Decision Making
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- Charles N Wyble (@ReachableCEO) is in charge at all times
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- If something is adrift between docs and filesystem/code, stop and ask Charles to resolve the issue
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- Especially if discrepancy isn't reflected in git or conversation history, ask for clarification
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- When Charles modifies filesystem manually (vs having AI do it), Charles will ensure AI integrates the changes into mental model
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- Do not create or modify things that Charles hasn't explicitly instructed
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- The filesystem is the source of truth
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- If you notice discrepancies between documentation and actual filesystem, ask Charles to resolve
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### Tool Integration
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- Work with existing development tools and workflows
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- Maintain compatibility with CI/CD pipelines
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- Use project-appropriate build and deployment processes
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- Respect project-specific dependencies and versions
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### AI Tool Context (for agents working in this environment)
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- **Codex** - Primary daily driver (subscription-based), best for code generation and completion
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- **Qwen** - Heavy system orchestration, excels at shell/Docker operations
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- **Gemini** - Primarily used for audits and analysis
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- **Claude** - Used occasionally for specific tasks
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