$ Day 1: /home/jeremy/ (empty)
Day 5: 3 directories, 10 files
Day 10: 15 directories, 200+ files
Day 15: 30 directories, 1000+ files
Day 20: Organized hierarchy with clear purpose Current:
/home/jeremy/
├── _ACTIVE_PROJECTS/ # The brain
├── _PROJECT_MANAGEMENT/ # The memory
├── projects/ # The workshop
├── research/ # The library
└── [tools & utilities] # The toolkit
Day 1: /home/jeremy/ (empty)
Day 5: 3 directories, 10 files
Day 10: 15 directories, 200+ files
Day 15: 30 directories, 1000+ files
Day 20: Organized hierarchy with clear purpose Current:
/home/jeremy/
├── _ACTIVE_PROJECTS/ # The brain
├── _PROJECT_MANAGEMENT/ # The memory
├── projects/ # The workshop
├── research/ # The library
└── [tools & utilities] # The toolkit
Day 1: /home/jeremy/ (empty)
Day 5: 3 directories, 10 files
Day 10: 15 directories, 200+ files
Day 15: 30 directories, 1000+ files
Day 20: Organized hierarchy with clear purpose Current:
/home/jeremy/
├── _ACTIVE_PROJECTS/ # The brain
├── _PROJECT_MANAGEMENT/ # The memory
├── projects/ # The workshop
├── research/ # The library
└── [tools & utilities] # The toolkit - .bashrc and .profile created
- User account established
- Basic system configuration - Railway deployment platform configured
- Docker installation and setup
- Chrome profiles for testing environments - SSH keys generated for GitHub
- Git configuration
- Claude.ai integration setup - Initial project directories created
- VS Code extensions installed - Netlify CLI installation
- Node.js environment setup
- Python virtual environments - Google Cloud SDK installation begins
- BigQuery CLI tools
- Cloud SQL proxy setup - Codex integration
- AI coding assistants configured
- First automated scripts written - Docker Compose configurations
- Multi-container development environments
- Database containers (PostgreSQL, Redis)
- First microservices architecture sketched - SvelteKit project initialized
- 50+ components created
- Tailwind CSS integration
- First deployment to production - BigQuery schema design begins
- First 50 tables created
- Real-time data pipeline planned - Gemini API integration
- AI feature development
- 226 RSS feeds configured - N8N workflow automation installed
- Daily content generation workflows
- Reddit scraper (500K+ posts collected)
- YouTube data extractor built - Hugo static site generator
- Two separate blogs created: jeremylongshore.com (personal)
startaitools.com (business)
- jeremylongshore.com (personal)
- startaitools.com (business)
- 10 initial posts written - jeremylongshore.com (personal)
- startaitools.com (business) - Google Cloud integration complete
- 254 BigQuery tables in production
- Netlify auto-deployment
- CI/CD pipelines operational - Project management structure created
- Handoff documentation system
- Active/Archive pattern established - Performance monitoring
- Log aggregation
- Error tracking
- Analytics dashboard - Payment integration (Stripe)
- User authentication
- Real-time diagnostics
- AI-powered analysis - 27,440-word master document created
- Complete system architecture documented
- API specifications written
- Database schemas finalized (266 tables!) - 29 empty directories removed
- 7 old backups archived
- 3 duplicate projects consolidated
- 9 comprehensive READMEs created - Blog migration from Archie to Hugo Book theme
- 15 posts reorganized
- Learning paths created
- Glossary system implemented - Bob's Brain released to community
- AI documentation shared
- Multiple PRDs created - 16 professional documentation templates
- 8,465+ lines of documentation
- Complete SDLC coverage
- Open sourced with full attribution - Lines of Code Written: 150,000+
- Git Commits: 500+
- Projects Active: 7
- Projects Completed: 3
- Open Source Contributions: 2 - BigQuery Tables: 266
- Data Processed: 10GB+
- RSS Feeds Monitored: 226
- Reddit Posts Collected: 500,000+
- API Integrations: 15+ - Blog Posts Published: 25+
- Documentation Pages: 50+
- PRDs Created: 6
- Templates Developed: 16
- Total Words Written: 200,000+ - N8N Workflows: 10+
- Automated Tasks: 50+
- Time Saved Weekly: 20+ hours
- Deployment Pipelines: 5 - Spend time on tooling setup
- Automate from day one
- Version control everything - Multiple projects accelerate learning
- Cross-pollination of ideas
- Document as you build - Structure enables creativity
- Archives preserve knowledge
- Automation compounds value - Writing code? Generate documentation
- Solving problems? Create blog posts
- Building features? Design templates
- Learning tools? Share tutorials - Claude/Cursor: AI pair programming
- Hugo: Lightning-fast static sites
- N8N: Workflow automation
- BigQuery: Massive data processing
- Docker: Consistent environments - tmux: Terminal multiplexing
- ripgrep: Fast searching
- jq: JSON processing
- GitHub Actions: CI/CD
- Netlify: Instant deployments - Kubernetes orchestration
- Multi-region deployment
- ML model integration
- Real-time analytics dashboard
- Community platform launch - 500K+ daily data points
- 50+ automated workflows
- 100+ blog posts
- 5 production applications
- 1M+ users served - Development Hub: 7 active projects
- Data Processor: 266 BigQuery tables
- Content Factory: 25+ blog posts
- Automation Center: 50+ automated tasks
- Learning Platform: Comprehensive documentation
- Open Source Contributor: Multiple projects shared - Document everything - Your future self will thank you
- Automate early - Even simple tasks
- Organize often - Don't wait for "later"
- Share freely - Open source amplifies impact
- Build daily - Momentum is everything
