Over the last 10 days, we’ve built something incredible. We started with a Raspberry Pi, gave it a brain (Gemini/OpenAI), eyes (Vision), a voice (TTS), and even a job (writing this blog). But there’s a catch. We’ve built …
For the last week, we’ve been building a digital brain. We’ve given OpenClaw the ability to see, hear, speak, and remember. But so far, it’s been trapped in the machine. Today, we break the fourth wall. …
Welcome to Day 7 of our OpenClaw series! Today we’re turning our AI assistant into an office automation powerhouse. By the end of this tutorial, your Raspberry Pi will be generating professional PowerPoint …
OpenClaw becomes truly powerful when it stops just talking and starts doing. Up until now, we’ve given it a brain (LLMs), a voice (TTS), and eyes (Vision). Today, we give it hands. We are going to build a custom …
Welcome to Day 5 of the 67AI Lab 10-Day Challenge! So far, we’ve given our agent a brain using cloud giants like OpenAI and Google Gemini. These models are powerful, but they come with trade-offs: latency, cost, …
Welcome back to the 67AI Lab! We are on Day 4 of our 30-day journey to build the ultimate local AI agent. Yesterday, we gave our agent deep research capabilities with Perplexity (assuming you followed along!). Today, …
On Day 3 of our journey building the ultimate AI Lab on a Raspberry Pi, we’re giving our OpenClaw agent a serious upgrade: Deep Search capabilities. While standard LLMs are great at reasoning, they often …
Yesterday, we installed OpenClaw on the Raspberry Pi. It was alive, but silent. Today, we give it a voice—and a brain. A true agent isn’t just a script; it needs a Large Language Model (LLM) to reason, understand …
The first step in building an autonomous agent. From unboxing to the first heartbeat on a $80 computer.
