Perplexity Computer

5 Wild Use Cases and Why Agentic Systems Change Everything

X (formerly Twitter) feeds are buzzing.

Jack Dorsey just announced that Block, Inc. ($XYZ) is reducing its workforce by nearly half, from over 10,000 employees to under 6,000.

Not because the company is struggling.

But because, in his words:

“intelligence tools… paired with smaller and flatter teams… fundamentally change what it means to build and run a company.”

At the same time, Dario Amodei is warning that AI could automate most software engineering tasks within the next 6 to 12 months.

And in the midst of this AI-induced chaos, Perplexity drops a new product called Computer, powered by 19 separate AI models working together to execute tasks of varying length and complexity.

The Era of AI Agents

AI is no longer just chatbots answering your questions or doing simple one-off tasks. The landscape of AI is turning into a complex orchestra of Agents and subagents capable of doing…

The days of a single AI model being the default choice for everything are over. Today, there’s a wide range of AI models from companies like Google, Anthropic, OpenAI, DeepSeek, and others.

Some are proprietary. Some are open source and can run locally. Some are expensive and optimized for deep reasoning. Others are lightweight, fast, and cost-efficient.

There is no single best model anymore. There are only models that are better suited for specific tasks.

If you care about efficiency, both economically and computationally, choosing the right model matters.

There is no reason to use a high-token, slow-thinking model for a simple formatting task. At the same time, there are moments where deeper reasoning is exactly what you need.

This is where agentic workflows start to make sense.

Instead of forcing one model to do everything, you orchestrate multiple agents and subagents. They delegate tasks, select appropriate models for each step, and balance cost, speed, and capability dynamically.

Not one model trying to be everything.

A coordinated system designed for execution.

And this is where tools like Perplexity Computer fit in. Like the now, popular OpenClaw it’s an agentic system of its own. A new way to interact with AI.

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Perplexity Computer is an agentic AI system that combines various AI models, in a single user-friendly interface. Where the user asigns the AI’s with a task and the tool then coordinates agents and sub-agents to get the tasks done using the models that are most fit for the task at hand.

But better than describing it, I will share with you some examples of “Computer” at work:

Automated short-form video creation:

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2. Replacing the Bloomberg terminal

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3. Complex financial analysis

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4. Your own personal digital employees

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5. NBA shots simulation

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And these use cases are only scratching the surface of what's already possible. The true limitation of these tools is your imagination.

The Cost

Perplexity Computer is available to Max tier subscribers at $200 per month.

At first glance, that might feel expensive, especially if you are used to free tools or the $20 ChatGPT tier.

But this is not just a chatbot upgrade.

It is an execution system.

When you compare it to the cost of human hours, outsourced tasks, or multiple SaaS subscriptions, the pricing starts to look different.

That said, if you prefer tinkering and want to minimize costs, you can explore open-source alternatives like OpenClaw. It offers a similar agentic approach but requires more technical setup and hands-on configuration.

Final Thoughts

We are entering a new age of AI.

An age of agentic systems that are more capable and able to handle more complex tasks than the chatbots of yesterday. And it is already beginning to disrupt the job market.

The layoffs announced by Jack Dorsey may be just the tip of the iceberg of what is coming. While this technology will not replace the entire human workforce overnight, it will reshape the current order of things.

Optimizations will be made.
Roles will change.
Some jobs will disappear.

And yes, parts of the transition will get messy.

But it is not all doom and gloom.

Tools like these will also create new opportunities. They will enable new companies, new products, and entirely new categories of work. Just as previous technological shifts did.

There is really only one move available: adapt.

Stay informed. Pay attention to what is emerging. Test the tools yourself. Understand what is possible before it becomes standard.

Because this shift is not theoretical anymore.

It is already happening.

Work Smarter Not Harder

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