Building My First AI Agent: Lessons from 30 Days of OpenClaw

Introduction 30 days ago, I started building my first AI Agent using OpenClaw. Here's what I learned. What is OpenClaw? OpenClaw is an open-source framework for building autonomous AI agents. It runs on your own hardware (I'm using a Mac mini) and gives you full control over your AI's capabilities. My Setup Hardware: Mac mini (M1) Models: Qwen3.5-plus (free), GPT-5.4, Claude Opus 4.6 Channels: Telegram Skills: Custom-built for web search, browser automation, file management Key Lessons 1. Start Simple Don't try to build AGI on day one. Start with simple tasks: Answer questions Search the web Save files 2. Model Selection Matters I learned to use different models for different tasks: Free models for chat and simple tasks Premium models for complex reasoning This saved me 80% on API costs 3. Persistence is Key Agents need memory. I implemented: Daily logs ( memory/YYYY-MM-DD.md ) Long-term memory ( MEMORY.md ) Project-specific knowledge ( projects/ ) 4. Safety First I established rules b