Perplexity Computer: Build AI Workflows

Automate research, reporting, and operations with Perplexity’s cloud AI worker for modern knowledge teams.

What you’ll learn
Understand what Perplexity Computer is, how it differs from basic AI chatbots, and when to use it for real business tasks
Write effective prompts using the CTFC framework (Context, Task, Format, Constraints) to get reliable, high-quality output from AI
Design multi-step AI workflows that automate repetitive business processes
Connect Perplexity Computer to tools you already use to build end-to-end automated workflows without writing any code
Review and quality-check AI-generated output using the ACT method (Accuracy, Completeness, Tone) so you can trust and confidently share results
Set up scheduled and recurring AI workflows that run automatically on a daily or weekly basis
Identify the limits and risks of AI tools, apply best practices for handling sensitive data, and know when human judgment should override AI output
Leave the course with three ready-to-use AI workflows you can implement in your own role within the first week

Requirements
No programming or technical skills required. This course is designed for business professionals, not developers.
You’ll need access to Perplexity Computer to follow along with the exercises
A willingness to experiment with AI tools. No prior experience with AI, ChatGPT, or prompt engineering is needed.

Description
This course contains the use of artificial intelligence.

Perplexity Computer: Build AI Workflows is a practical, business-focused course for professionals who want to turn Perplexity’s new Computer feature into a real advantage at work. If you already use Perplexity for research or writing, this course shows you how to go far beyond chat and start delegating multi-step, ongoing work to a powerful cloud-based AI worker.

We will start with the fundamentals of what Perplexity Computer is, how it differs from normal prompts and one-off answers, and where it fits in a modern knowledge workflow. You will see clear examples of business tasks that Computer can handle, including research briefs, recurring reports, content production pipelines, and cross-tool automations.

From there, we will design and build complete workflows together. You will learn how to write effective project briefs for Computer, break big goals into milestones, and guide the agent without micro-managing it. We will cover patterns for research-heavy tasks, reporting and analysis, content creation, and light operations work, all grounded in realistic business scenarios.

Throughout the course, the focus is on making Computer a reliable teammate rather than a novelty. You will learn how to review and refine its work, reduce hallucinations, add quality checks, and align outputs with your organization’s tone and standards. We will also talk about limits, risks, and good judgment when using an autonomous system in a business environment.

By the end, you will be able to look at a complex piece of work in your job and ask a different question: “Which parts can I safely hand to Perplexity Computer?” You will walk away with reusable prompt templates, workflow patterns, and a clear mental model for where this new tool fits into your day-to-day work.

Who this course is for
Business professionals, managers, and team leads who want to automate repetitive tasks without learning to code
Analysts, consultants, and marketers who regularly gather information, summarize data, and produce documents
Operations and project managers who spend too much time on manual processes
Anyone curious about AI productivity tools who has tried ChatGPT or similar tools but wants to go beyond simple Q&A to build real, repeatable workflows that save hours every week