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Hey guys! Looking to organise files, prompts, and long-running tasks inside AI tools without losing context every time? In this video, we show you how to create projects inside ChatGPT, Gemini, Claude, and Perplexity so you can turn AI chats into proper workspaces. This tutorial explains what AI projects actually are (smart folders with memory), how they replace traditional file-based workflows, and how each platform handles files, instructions, and limits. You’ll see how to create a project or space, upload documents, add custom instructions, and run real tasks on your data. We also compare these tools honestly within a short, practical workflow—covering file size limits, speed, and output quality—so you know when to use Perplexity, Gemini, ChatGPT, or Claude depending on the task. By the end of this video, you’ll know how to set up AI projects properly and choose the right tool for your workflow without overcomplicating things. 🔗 Helpful Links ChatGPT Projects: chat.openai.com/ Claude Projects: claude.ai/ Gemini: gemini.google.com/ Perplexity Spaces: www.perplexity.ai/ Chapters: 0:00 Introduction – What AI Projects Are 0:45 Why Projects Replace Folders 1:30 Creating Projects in Perplexity (Spaces) 2:20 Uploading Files & Running Tasks 3:30 Handling Large Files in Perplexity 4:20 Creating Projects in ChatGPT 5:30 ChatGPT File Limits & Output Quality 6:30 Creating Projects in Claude 7:30 Claude Limits & When It Works Best 8:30 Creating Projects in Gemini 9:30 Speed vs Output Comparison 10:20 Choosing the Right Tool 10:50 Final Verdict & Takeaways #ChatGPT #ClaudeAI #GeminiAI #PerplexityAI #AIProjects #AITools #ProductivityAI