Perplexity Computer: Your First AI Employee

Learn the four-part prompting framework that turns Perplexity Computer from a general AI tool into a precise, professional-grade digital worker. By the end of this section you will never write a weak prompt again.

Most people use AI like a search engine — and get average results. In this lecture you will learn the Role-Task-Context-Output framework: the four-part structure that tells your AI agent exactly who to be, what to do, what background it needs, and what the finished result should look like. We break down each part with examples and build a full prompt live together.

Before we connect anything, you need to understand what connectors actually are and why they matter. In this lecture we explain how connectors work as live two-way bridges between Perplexity Computer and your apps — and how they transform your AI from a thinker into a doer. We also walk through the full list of available connectors and how to set each one up in under 60 seconds.

In this live demo we connect Perplexity Computer to Gmail and run two of the most valuable workflows immediately — reading and summarising your inbox, and drafting professional replies automatically. You will see exactly how to set up the connector, how to prompt it, and how your AI agent handles real emails in real time.

Here we connect Perplexity Computer to Notion. You will see your AI agent read an existing Notion page, extract a summary and action items, and then create a brand new structured page — all from a single instruction. By the end of this lecture Notion becomes a fully active part of your AI agent's workflow.

In this demo we connect Perplexity Computer to Slack. You will watch your AI agent read an entire Slack channel, summarise what's been discussed, flag anything urgent, and then post a structured update back into the channel — without you touching the app. A game-changer for team communication.

This is where the real power unlocks. In this lecture we run a cross-connector workflow — your AI agent reads an email in Gmail, extracts the key information, creates a task in Notion, and posts a summary to Slack. One instruction. Three platforms. Zero effort. You will see exactly how to build this and how to adapt it for your own business.

In this lecture you will learn what scheduled tasks are and why they are one of the most powerful features in Perplexity Computer. We cover the difference between a one-off task and a standing order, introduce the real-world examples that will transform your week, and explain exactly how the scheduling system works before you build your first one.

In this hands-on demo we build your first scheduled task together — live, from scratch. You will learn how to write the instruction, set the frequency, pick the time, and hit publish. From that moment your AI agent has a standing shift. We will also run through three real-world examples: a morning briefing, a weekly report, and a monthly invoice summary.

In this lecture you will learn what a Perplexity Skill is and why it is one of the most valuable assets you can build inside the platform. We cover the difference between a one-time prompt and a permanent Skill, explain how Skills work as saved instruction sets, and show you exactly how they turn your AI agent into a consistent, trained digital employee.

In this live demo we build a custom Skill together: the Sleek Website Builder. You will watch as we write the Skill instructions, define the output format, save it to Perplexity Computer, and then use it to generate a full website layout instantly. By the end of this lecture you will know how to create any Skill for any purpose in your business.

You do not always have to build Skills from scratch. In this lecture we show you how to browse and install pre-built Skills from Skills.sh — the open Skills marketplace for Perplexity Computer. You will learn how to find the right Skill, install it in one click, and customise it for your specific needs.

In this lecture you will learn what a Perplexity App is — a shareable link that puts a purpose-built AI tool in anyone's hands, with no account or technical knowledge required. We cover the difference between personal apps and shareable apps, walk through real examples, and explain exactly why Apps are the bridge between your private AI setup and the people around you.

In this hands-on demo we build two Perplexity Apps live from scratch. First, the Morning Briefing App — a personal productivity tool that opens every day with your priorities, news, and weather in one screen. Then, the Client Onboarding App — a shareable link that walks new clients through a personalised onboarding experience automatically. You will see the full build process for both and have your own versions live by the end of this lecture.

In this lecture you will learn what a workflow is in Perplexity Computer and why it represents the highest level of AI automation available today. We cover the difference between individual tasks and connected workflows, introduce the four real-world workflow patterns every business owner should have, and explain the simple framework for mapping and building any workflow from scratch.

In this final hands-on demo we build a complete agentic AI workflow together — live. You will see Perplexity Computer chain multiple tools and actions in sequence: reading Gmail, updating Notion, notifying Slack, and saving to Google Drive — triggered automatically without you in the middle. By the end of this lecture you will have a real working workflow running in your own Perplexity Computer account.

This is your course completion lecture. We recap everything you've built — live connectors, scheduled tasks, custom skills, shareable apps, and automated workflows — and acknowledge the shift you've made from chatting with AI to commanding it. There's also one small ask at the end. Thank you for your time. Now go build.