AI Research & Workflow Automation with Perplexity

Get a guided tour of the Perplexity Pro workspace and see how toggling on Pro unlocks advanced AI models, file-supported spaces, and enhanced search capabilities. Understand key differences from the free version and how to start creating structured content using Perplexity’s tools.

Learn how to create and customize knowledge pages in Perplexity Pro using the Library’s Page tool, with options to define your target audience, organize content sections, and publish directly from your workspace. This walkthrough shows how to shape AI-generated content into a structured, professional resource.

In this Pro Summary tutorial, discover how to use Perplexity Pro to upload multiple scholarly articles and generate individual and collective AI-powered summaries. Learn how to streamline complex research into clear, unified insights using advanced workspace tools.

In Convert-Summaries-to-Page-and-Spaces, learn how to enhance your Perplexity Pro workflow by integrating videos, images, and summaries into custom AI spaces—then transform that content into structured, shareable pages. This lesson highlights how to organize and present your insights for deeper engagement and easier publishing.

In Using the Default AI Model in the Pro Version, you'll explore how to structure prompts for step-by-step reasoning, gather web-focused results, and evaluate sources directly within Perplexity Pro’s default model. This lesson demonstrates how to guide the AI through research, ranking, and comparative analysis inside a custom workspace.

In Using the ChatGPT 4o Model in the Pro Version, discover how to switch AI models within Perplexity and compare how GPT-4o responds differently to complex queries and follow-ups. This lesson highlights how model choice can shape results, insights, and final conclusions in your research workflow.

In Using the X Model in the Pro Version, explore how Perplexity integrates the Grok 2 model from X AI to handle step-by-step reasoning and complex comparisons. This lesson shows how switching to Grok 2 can lead to distinct conclusions—even with identical queries—highlighting the power of model diversity in your AI toolkit.

In Using the Claude Sonnet Model in the Pro Version, learn how Claude AI responds to multi-step queries with concise, precision-driven answers and scoring logic. This lesson demonstrates how Claude compares to other models in Perplexity Pro, highlighting its unique strengths in clarity and structure.

In Publishing the Results, learn how to turn AI-generated outputs from multiple models—like Claude Sonnet, X AI, and Perplexity’s default—into polished, named pages ready for publication. This lesson walks through editing, organizing, and sharing your findings within the Perplexity Pro platform.

In Other Ways to Use the Playground Model to Generate Images, explore how Perplexity Pro can create unique visuals—including paintings, diagrams, and illustrations—based on the same subject prompt. This lesson demonstrates how different image types can be saved, organized into spaces, and repurposed within the platform.

In Using the Playground Model for Images, you'll learn how to activate and test Perplexity Pro’s built-in image generation tools, starting with the default Playground model. This walkthrough covers how to prompt visual output, select styles like photographs, and download results directly from the platform.

In Using the Flux Model to Create Images, explore how Perplexity Pro's Flux 1 model interprets prompts across various styles—photographs, paintings, diagrams, and illustrations. This lesson guides you through generating and comparing visual outputs to help identify the model that best fits your creative or informational needs.

In Using the Dalle Model to Create Images, discover how Perplexity Pro integrates OpenAI’s DALL·E model to generate a variety of visuals—from photos and paintings to diagrams and illustrations. This lesson demonstrates how to prompt, preview, and compare creative outputs across styles using AI-driven image tools.

In Live Example – Spaces and Profile Prep, follow a hands-on walkthrough for setting up a dedicated Space in Perplexity Pro, complete with model selection, custom instructions, and organization features. This lesson also covers how to optimize your user profile to support collaborative and content-driven workflows.

In Live Example Profile Completion Questions for the Pro Version, learn how to use Perplexity in tandem with ChatGPT to generate thoughtful responses for profile setup and onboarding tasks. This lesson demonstrates how prior AI interactions can streamline profile completion and enhance personalization inside Perplexity Pro.

In Live Example: Create a Thread in a Space, see how to upload files, combine sources, and generate AI-driven responses using both documents and web results within a Perplexity Pro space. This lesson walks through initiating a thread that leverages multiple inputs for richer, context-aware outputs.

In Create a Written Piece, learn how to use Perplexity Pro’s writing tools to generate article-ready content from outlines, personalized profiles, and uploaded documents. This lesson demonstrates how to guide the Claude 3.5 Sonnet model through structured writing tasks using your own materials and prompts.

In Fine Tune A Written Piece, discover how to refine AI-generated content in Perplexity Pro by iterating with specific models, removing web sources, and anchoring output to uploaded documents. This lesson shows how to improve accuracy, personalize tone, and correct errors through responsive rewriting workflows.

In Using Incognito Mode, explore how Perplexity Pro’s private session feature lets you generate temporary, unsaved threads with full access to models and multimodal tools. This lesson explains how to work anonymously, customize sessions, and share results without storing activity in your account.

In Work with HTML Code, learn how to use Perplexity Pro to upload, interpret, and rewrite HTML files for easy editing and direct integration into your web projects. This lesson demonstrates how to generate clean, editable code tailored to your needs—even without deep programming experience.