I’ll be honest: I was super skeptical about AI browsers at first. I already had my ChatGPT setup and custom agents in Chrome, so I didn’t see why I’d need another tool. But after testing Perplexity Comet and OpenAI’s Atlas for coding-related workflows, I was genuinely blown away—especially by Comet. In this video, I break down 7 practical use cases (in Python) that I actually use to learn faster, debug smarter, and stay in flow without constantly switching tabs. I show how Comet can review Stack Overflow threads and tell you which answer is correct (and then actually fix your code with your own data schema). I also use it to explain GitHub repos file-by-file, search documentation like Pandas groupby without endless scrolling, and even find the exact YouTube tutorial timestamp for a concept when I want a visual explanation. Then we go into some surprisingly useful everyday wins—like automatically finding and applying coupon codes—and finish with code review and inbox/calendar summarization across multiple email accounts. My takeaway: Atlas is solid for research, but Comet feels built for coders. The context-based, hands-off workflow is what makes it feel like a real efficiency upgrade—especially if you’re learning Python for data science or trying to level up fast for interviews and the job market.