I just spent an hour building something that’s actually insane: my first AI agent that can research YouTube video topics, generate script outlines, and email me daily with trending ideas. In this video, I walk you through my actual workflow—from “I don’t even know what to build” to a working agent with a dashboard and Gmail integration. I also break down what an AI agent is (spoiler: it’s not just ChatGPT with extra steps). Agents can browse the internet, scrape data, connect to tools like email, and run in the background 24/7. I start with planning (because most people skip this and then wonder why their build is chaos). I define exactly what I want: competitor video analysis, 10 daily trend-based ideas, script outlines, a clean web dashboard, and automated morning emails. Then I map a simple architecture: data collection → LLM analysis → Gmail integration → dashboard UI → scheduling automation. The “crazy” part is I used DeepAgent to build it without writing code, then I tested the output live—UI was clean, ideas were genuinely good, and the email integration worked (even if some scraped channel stats were a bit off). Net-net: it saves time, improves idea quality because it’s data-driven, and helps me stay consistent.