Not clones. Not tutorials. Real systems that I use every day — designed, architected, and deployed by me on hardware that fits in my pocket.
🦞01
The OpenClaw Agent Ecosystem
Multi-agent AI system on a single Raspberry Pi
The Problem
Most AI demos are single-purpose chatbots. I wanted a system where multiple specialized AI agents work together like a team — reviewing code, managing tasks, controlling a home, and handling daily workflows.
The Solution
Built a multi-agent orchestration system using the OpenClaw framework on a Raspberry Pi 5. Multiple specialized AI agents communicate, delegate, and execute tasks autonomously — powered by cloud AI and local models running side by side.
Key Results
▹Runs 24/7 on an $80 Raspberry Pi 5 with 8GB RAM
▹Multiple specialized agents with distinct roles: orchestrator, reviewer, task manager, data analyst
▹Cloud AI models for complex tasks, local models for private data
▹Full code review pipeline with automated peer review
▹Integration with Home Assistant, Fitbit, Google Drive, and Twilio
Managing multiple AI agents, APIs, smart home devices, calendars, and notifications from a single point requires an orchestrator that can think, delegate, and execute.
The Solution
The primary orchestrator agent manages the entire system. It coordinates the agent team, controls home automation, handles email and calendar, monitors health data, and communicates across Telegram, web, and voice channels.
Key Results
▹Handles 20+ integrated services simultaneously
▹Auto-routes tasks to specialized sub-agents based on skill and workload
▹Voice calls via Twilio with custom personas
▹Background heartbeat system for proactive monitoring
▹Full memory system with daily logs and long-term recall
Code reviews are easy to skip when building solo. But skipping them means bugs ship, architecture suffers, and technical debt piles up.
The Solution
A dedicated AI code reviewer that examines plans with excruciating detail before any code gets written. It evaluates edge cases, risks, and architectural concerns — producing structured verdicts that catch problems early.
Key Results
▹Reviews plans before execution — catches issues early
▹Also serves as backup orchestrator if primary goes down
▹Direct Telegram channel for on-demand access
Code ReviewAI AgentPrompt EngineeringAutomation
🏛️04
The Task Board
Kanban for AI agents
The Problem
Standard kanban boards don't route tasks to AI agents. I needed a task system where agents could be assigned work, collaborate, and report progress — all autonomously.
The Solution
Built a full kanban board that auto-routes tasks by type and skill. Tasks flow through stages — from intake through planning, collaboration, execution, and review — with automatic routing to the right agent.
Key Results
▹Auto-routes code reviews to reviewer, data tasks to analyst
▹REST API for agent integration
▹Clean kanban UI with drag-and-drop
▹Tracks task history and agent performance
FastAPIReactSQLiteTask RoutingAPI Design
🏠05
Smart Home, Supercharged by AI
Voice-controlled house with an AI brain
The Problem
Smart home hubs are siloed and rigid. I wanted natural language control across lights, appliances, climate, garage, irrigation, and entertainment — all accessible through AI.
The Solution
Integrated Home Assistant with the agent system. Now the orchestrator can control every smart device through natural language. Lights, thermostat, garage door, washer, dishwasher, speakers, TVs — all accessible via chat or voice.
Key Results
▹40+ smart devices across multiple rooms
▹Natural language control via Telegram
▹Automated routines based on time, presence, and weather
▹Integrated with wearable health data for health-aware automations
Home AssistantIoTTelegram BotAutomationREST API
⚡06
Infrastructure on a Credit Card
The entire stack on a Raspberry Pi 5
The Problem
Everyone thinks you need a data center to run AI. I wanted to prove you can run a serious production system on hardware that costs less than dinner out.
The Solution
The entire infrastructure runs on a single Raspberry Pi 5 with 8GB RAM and a 2TB SSD. Docker containers for services, reverse proxy with automatic SSL, mesh VPN for secure remote access, and everything tied together by the gateway.
Key Results
▹Everything on one Raspberry Pi 5 — agents, services, web server, database
▹Docker containers for isolation and easy management
▹Nginx reverse proxy with automatic SSL certificates