Explainer: Unlock Better AI Results - The 4-Step Collaboration Playbook | How to Work with AI

Описание: Stop treating AI like a search engine and start treating it like a super intelligent collaborator, because unlike a spreadsheet, AI is built for conversation and continuous dialogue. This video introduces the simple 4-step playbook for collaboration and reveals the four powerful capabilities it unlocks.

🎓 In this video, you'll learn about:
-Mindset Shift: Moving from a simple input/output approach to a collaborative, conversational dialogue.
-The 4-Step Playbook: The simple sequence to guide your AI: 1) give it context, 2) assign a role, 3) provide examples, and 4) work step by step.
-Workflow Integration: How to save time by building context directly into your AI tool using custom instructions, turning on memory, creating focused projects, and using connectors.
-Four Capabilities Unlocked: The four powerful things AI can do when collaborated with effectively: Generate (creating brand new content), Transform (changing format, like turning a transcript into clean action items), Retrieve (pulling info from the web or deep research reports), and Analyze (finding insights in data by writing and running its own code).

This video emphasizes that better AI results stem from collaboration. The key rule of thumb is to ask the AI for its approach before you tell it what to do. Once you adopt this collaborative mindset and use the 4-step playbook (Context, Role, Examples, Step-by-Step), you unlock AI's most powerful capabilities, including generating new ideas, transforming messy documents into clean reports, performing deep research, and analyzing complex data sets using code in minutes.

📖 VIDEO TRANSCRIPT:
Welcome to the explainer. Today, we're unlocking the secrets to getting way better results from AI. Do you ever feel like your AI's responses are just okay? You're not alone. But what if the secret isn't a magic prompt? What if it's about changing your mindset? Let's stop treating AI like a search engine and start treating it like a super intelligent collaborator. Unlike a spreadsheet, AI isn't about one input, one output; it's built for conversation. So how do you actually collaborate? Well, here's a simple four-step playbook to get you started. First give it context, then assign a role, provide examples, and finally, work step by step. This turns a simple request into a real conversation, getting you much, much higher quality results. A great rule of thumb is to ask the AI for its approach before you tell it what to do. And to save time, you can bake all that context directly into your AI tool. You can use custom instructions, turn on memory, create focused projects, and even use connectors. Once you get this collaborative mindset down, you unlock four really powerful capabilities. Let's check them out. First up is generate. This is all about creating something brand new, like 50 ideas for a project. Next is transform. This means changing information you already have from one format to another. For instance, turning a messy meeting transcript into a clean summary with clear action items. Easy. Third, retrieve. Your AI can act as a researcher, pulling info from the web or your own files. It can even do deep research, reading hundreds of sources to build you a comprehensive report. And finally, analyze. Honestly, this is one of the most powerful things AI can do today. Imagine you have over 500 survey responses, analyzing that by hand would take days. To do this, the AI actually writes and runs its own code, finding insights in just minutes. You see the thread here. It's all about collaboration. It's a continuous dialogue with your AI. So moving beyond simple questions opens up this whole world of creation and discovery. Your super intelligent collaborator is ready. The only question left is, what will you build together?.

📚 ABOUT THIS COURSE: This video is part of the Applied AI Literacy Course developed by Tulane Professor Knud Berthelsen for Newcomb-Tulane College Career Services.

📖 RELATED PLAYLISTS:
Tulane Applied AI Literacy Course
   • AI Capabilities Explained: What AI Can Do ...  .

🔗 RESOURCES:
CAIDS Website: https://datainstitute.tulane.edu/
Professor Berthelsen's Website: https://knudberthelsen.com/.

📍 ABOUT CAIDS: The Connolly Alexander Institute for Data Science (CAIDS) at Tulane University advances AI literacy and data science education through research, teaching, and community engagement.

👨‍🏫 ABOUT THE INSTRUCTOR: Professor Knud Berthelsen holds a joint appointment in the Strategy, Leadership & Analytics Minor (SLAM) at the School of Liberal Arts and at the Connolly Alexander Institute for Data Science (CAIDS). His work focuses on generative AI tools, their societal impact, and increasing applied AI literacy.