Ai

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 presentations and PDF documents on demand. Why Document Automation? Imagine telling your AI: “Create a presentation about Q4 sales results” or “Generate a PDF report from this data” — and having it just… happen. That’s what we’re building today. ...

Welcome back to the 67 AI 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, we’re making it more human. We’re giving it a voice, ears, and an imagination. Text interfaces are efficient, but talking to your room and having it reply—or asking it to visualize an idea instantly—is where the magic happens. ...

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 While standard LLMs are great at reasoning, they often hallucinate facts or rely on outdated training data. To build a true “Researcher” agent, we need real-time, cited, and accurate information from the web. Enter Perplexity AI. Why Perplexity? Perplexity isn’t just a search wrapper; it’s an answer engine. Unlike a standard Google Search API which returns a list of links, Perplexity’s API (specifically the sonar models) returns synthesized answers with citations. This is perfect for an autonomous agent because it reduces the cognitive load of parsing raw HTML and synthesizing multiple sources—the API does the heavy lifting. ...