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Home » Perplexity reveals Computer, and it wants AI agents to do all your work
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Perplexity reveals Computer, and it wants AI agents to do all your work

By technologistmag.com27 February 20263 Mins Read
Perplexity reveals Computer, and it wants AI agents to do all your work
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Perplexity just launched a feature that lets different AI models collaborate on the same task. Called Perplexity Computer, it taps Gemini, Grok, and ChatGPT 5.2 depending on what you need. But Computer does more than answer questions. It completes tasks. The tool is live today for Perplexity Max subscribers on desktop web and will reach Enterprise Max users soon.

The system runs Opus 4.6 as its core reasoning engine. But for specific jobs, it hands off to specialist models. Gemini handles deep research by creating sub-agents. Grok jumps in for speed on lightweight tasks. ChatGPT 5.2 manages long-context recall and wide searches.

Computer also connects to Gmail, Outlook, GitHub, Slack, Notion, and Salesforce. It can write docs, build slides, send emails, and run scheduled tasks while you are offline.

The name Computer nods to history. In the 1700s, human computers divided complex work into pieces. Today, Perplexity Computer does the same thing with software.

You get to pick which models run your subtasks

Perplexity Computer is model agnostic, so the company can swap out engines as better ones appear. But you’re not stuck with the defaults. The system lets you choose which models handle your subtasks.

That control matters as token budgets become a real concern for people using AI at work. If you know one model burns through credits faster than another for a simple job, you can pick the cheaper or faster option.

The approach treats AI less like a single appliance and more like a toolbox. Grab Grok for quick answers, Veo 3.1 if you need video, and Nano Banana for images, all within the same session.

Why running multiple models changes the game

The move challenges the idea that AI models are becoming interchangeable commodities. Perplexity argues the opposite. Models are specializing. Each frontier model genuinely excels at different kinds of work, and a smart system should reflect that.

Think of it like having a team instead of one generalist. Gemini might dig through research better. Opus 4.6 handles the heavy reasoning. ChatGPT 5.2 remembers more context from earlier in the conversation. Let them play to their strengths, and the whole system gets more capable.

Computer chains capabilities together naturally. A single prompt can trigger research, analysis, document creation, email delivery, and scheduled follow-up. You do nothing between steps.

What the shift means for your subscription

If you are a Perplexity Max subscriber, you can try the Computer feature today. Enterprise Max users will get access soon. The launch gives you a reason to revisit your subscription and test whether orchestrating multiple models actually saves time or money.

Keep an eye on how the model roster changes. Perplexity built this to be flexible, so the lineup will likely evolve as new models drop. The real test is whether you notice the difference.

If the system picks a faster model for simple searches and a deeper one for research, your workflow should feel smoother without you having to think about it.

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