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Perplexity COMPUTER Clearly Explained (& how to use it for beginners)

32.1K views· 639 likes· 18:45· Mar 20, 2026

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Perplexity Computer Tutorial for Beginners. Grab the full walkthrough and guide inside my AI Recipe Vault: https://eliotprince.com/ai-recipe-vault/ I'll admit something... I wasn't expecting much from Perplexity Computer. I'd seen the YouTube demos. People building dashboards. And I thought... that's the "full power of computing at another level"? Dashboards? Turns out, those people were using it wrong. Not Perplexity's fault. Theirs. So I tried it myself. Typed a throwaway 3 line prompt while waiting for Claude to finish a task. And it executed roughly 40 hours of work. In one go. My heart stopped for 3 seconds. In this video, I walk you through exactly what Perplexity Computer is, how to set it up, and how to actually start using it properly to build whole AI machines for your business. Step by step. Even if you've never touched it before and you're not very technical. 📋 IN THIS VIDEO: - What Perplexity Computer actually is and why it's different from ChatGPT, Claude, and Co-work - How I accidentally built a Local SEO Machine that executes 40 hours of client work from a 3 line prompt - Full interface walkthrough, connectors, pricing, and credits explained for beginners - Building a brand new AI machine from scratch, live on camera, so you can see exactly how it works - Why most people are using Perplexity Computer wrong (and what to do instead)

About This Video

I’ll admit it: I wasn’t expecting much from Perplexity Computer. I’d seen the demos—dashboards, spreadsheets—and I assumed that was basically the ceiling. Then I tried it with a throwaway three-line prompt while I was waiting for Claude to finish something… and it genuinely stopped my heart for a second. Within about half an hour, I realized this thing could batch-execute what would’ve been ~40 hours of my own work, and not just “research”—actual deliverables. In this video I break down what Perplexity Computer actually is (and why it’s different from ChatGPT, Claude, and the usual “single chatbot” workflow). The big shift is it runs like a team of senior AI specialists in parallel—planning, research, writing, visuals—routed across a bunch of models under the hood, while you just act like the conductor. I walk you through the interface (tasks, scheduling, credits, connectors, files, skills), and then I build a brand-new “LinkedIn machine” live: it scans recent messages and comments, scores leads, drafts personalized replies, and gives me a daily dashboard heartbeat. The takeaway: most people are using this wrong—if you treat it like a dashboard builder, you miss the point. It’s an execution engine for whole AI departments.

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