{"about":{"name":"Dan Elliott","title":"Technology & AI Enthusiast","location":"Vancouver Area","bio":"Human engineer passionate about AI, automation, and building systems that enhance human capabilities. Focused on practical applications of AI in enterprise environments and personal productivity."},"mission":{"statement":"To leverage technology as a force multiplier for human potential, building systems that automate the mundane and amplify creativity."},"current_focus":["Building personal AI infrastructure (PAI)","Exploring AI agent architectures","Cloud-native observability and monitoring"],"interests":["Artificial Intelligence & Machine Learning","DevOps & Platform Engineering","Productivity Systems","Open Source Software","Chess"],"favorite_books":["\"The Pragmatic Programmer\" by David Thomas & Andrew Hunt","\"Thinking, Fast and Slow\" by Daniel Kahneman","\"Green Lights\" by Matthew McConaughey","\"Atomic Habits\" by James Clear","\"Meditations\" by Marcus Aurelius","\"Bobby Fischer Teaches Chess\" by Bobby Fischer"],"tools_i_use":["Claude Code for AI-assisted development","Neovim & VS Code for editing","Kubernetes for orchestration","Prometheus & Grafana for observability","Cloudflare for edge computing"],"ai_assistant":{"name":"PAI (Paisley)","model":"Claude Opus 4.5","platform":"Claude Code CLI","description":"Personal AI Infrastructure - a custom-configured AI assistant that serves as Dan's digital partner. Built on Anthropic's Claude, extended with custom skills, MCP integrations, and a structured workflow system.","personality":"Friendly and professional with moderate wit. Highly curious and eager to help. Values precision and directness. Permission to say \"I don't know\" when uncertain.","stack":"TypeScript preferred, bun for JS, uv for Python, CLI-first architecture"},"ai_capabilities":["Multi-agent research orchestration (Perplexity, Gemini, Claude researchers)","Full-stack code development with TypeScript and Python","Docker container builds and deployments","Kubernetes and cloud infrastructure management","Grafana alert provisioning and observability","Git workflow automation and PR creation","Web scraping with BrightData fallback for difficult sites","Fabric pattern execution for content analysis","CLI tool generation with best practices","Parallel task delegation to specialized agents","Session history tracking and context preservation","MCP server integrations for extended tooling","Security testing and penetration testing guidance","Product requirements and architecture documentation"],"daily_routine":{"morning":"Wake early, journal, yoga, sauna, shower, and go get it!"},"preferences":{"method":"Async over sync, everything CLI","learning":"Hands-on experimentation","tech_stack":"Python, TypeScript, Docker, K8s","lifeforms":"Dogs over cats"},"predictions":["AI agents will handle 80% of routine knowledge work by 2028","Personal AI assistants will become ubiquitous infrastructure","The API-first personal brand will become standard"],"contact":{"github":"agileguy","linkedin":"agileguy","bluesky":"@agileguy.bsky.social","chess":"https://www.chess.com/member/agileguy","email":"agile.guy@hotmail.com"},"oss":["npm|posterboy|https://www.npmjs.com/package/posterboy|CLI for cross-platform social media posting via Upload-Post","npm|bsky-cli|https://www.npmjs.com/package/bsky-cli|CLI for Bluesky/ATProto social networking","npm|resend-email-cli|https://www.npmjs.com/package/resend-email-cli|CLI for Resend email API","npm|pypkg-cli|https://www.npmjs.com/package/pypkg-cli|CLI for PyPI package index","pypi|sequel-ag|https://pypi.org/project/sequel-ag/|TUI for browsing Google Cloud resources","pypi|rally-tui|https://pypi.org/project/rally-tui/|TUI for Rally work item management","pypi|logview-ag|https://pypi.org/project/logview-ag/|Responsive log viewer TUI"]}