《AI Delegation Techniques》: From Asking Questions to Actually Helping You Complete Tasks: ChatGPT Work Comprehensive Tutorial

《AI Delegation Techniques》: From Asking Questions to Actually Helping You Complete Tasks: ChatGPT Work Comprehensive Tutorial A Practical Course for AI Beginners in the Workplace and Teachers Many people have used ChatGPT, but most users are likely still in the phase of "I ask a question, it answers a question." Asking it to edit a piece of text, come up with a few titles, or look up a question is certainly useful. However, when a supervisor suddenly throws three emails and an Excel sheet at you, asking you to organize them into a presentation by tomorrow morning; or when the course syllabus, teaching materials, and parent messages all pile up together, needing to be ready before class tomorrow, you still end up opening five windows and slowly copying and pasting. But today’s AI is no longer just a chat companion. It can read documents, organize files, search for information online, handle spreadsheets, create presentations, and even directly operate browsers and computers. The problem is, when AI becomes this powerful all at once, many people get stuck in another way: What tasks can I actually assign to it? How should I communicate my requirements so it knows what to do? Once it’s done, how do I know if it did it correctly? This course, "AI Delegation Techniques", is designed specifically for those who want to let AI genuinely assist with tasks but don't know where to start. I will begin with the basics of ChatGPT and Codex, helping you understand what today’s AI can really do. Then, I will guide you to delegate a routine task to AI: giving it data, clearly stating your requirements, watching it execute, identifying any mistakes, and ultimately retrieving a document, spreadsheet, or presentation that you can actually edit and use. No programming skills are required, and you don’t need to memorize a bunch of prompts. As long as you can operate a computer, you can follow along. 🔥 Core Highlight: Actually Delegating a Task to AI This will not be a class where you simply watch me demonstrate how "great AI is". I will prepare a realistic set of materials: emails, attachments, spreadsheets, websites, and some deliberately included errors. You will follow along as I assign these items to AI, allowing it to research and organize on its own, and produce the first draft results. Then, we won’t just believe it blindly. I will show you where it misunderstood, which numbers it calculated incorrectly, which piece of content lacks citations, and what actions need to be paused for your confirmation. You will manually correct it once and verify the second draft to ensure it is usable. What you take away is not just an assignment from class but a complete walkthrough for the first time: Finding the right task → Clearly communicating the requirements → Letting AI take action → Identifying errors along the way → Validating the results → Documenting the process for future use. 💼 In class, I will walk you through these work scenarios Organizing a bunch of data into a presentation Starting from emails, attachments, spreadsheets, and web data, you will let AI summarize key points, check sources, and create a six-page presentation. You will see where it went wrong on its first attempt and how to instruct it to fix it for usability. Letting AI help you research without copying answers blindly Asking AI to compare three options, prices, or services, to not only provide conclusions but also retain original websites, inquiry dates, and areas that are unverifiable. Teachers can also apply the same method to organize teaching materials, events, or visit proposals. Asking AI to organize tables and identify truly important areas Letting AI read a budget sheet, schedule, or anonymized feedback, to calculate totals, categorize, and highlight anomalies. I will also deliberately introduce an error for you to practice on how to audit it, instead of just trusting a nice chart at face value. Letting AI operate browsers and computers without sending out random stuff on your behalf I will demonstrate how AI opens web pages, finds information, fills in test content, and organizes files; every time it needs to send an email, submit forms, publish, make payments, or delete, it will pause for your decision. 🛠️ Complete Practical Curriculum 1. Getting to Know Your First AI Executor What’s the difference between ChatGPT, Codex, and regular conversational AI? I will start with accounts, interfaces, and the most basic operations, guiding you to hand over a file to AI for it to generate results, then download, open, and retrieve the file. 2. Identifying the First Task Suitable for AI Delegation AI is powerful, but the biggest issue is often that you suddenly can’t think of what to delegate to it. I will help you sift through repetitive tasks from your daily routines to find simpler tasks fit for AI and explain which data shouldn’t be delegated or what tasks are safer to handle yourself for now. 3. Don’t Just Throw a Sentence Saying “Help Me Organize” AI is not telepathic. If you just throw it a line, it has to guess. I will teach you how to clearly articulate your purpose, data, the output you’re expecting, and boundaries that shouldn’t be crossed. In class, we will directly finish a “Delegation Card”, so the next time you encounter a new task, you can just fill it out without starting from a blank prompt every time. 4. Letting AI Start Working While Knowing When to Stop This unit will utilize files, browsers, computer operations, and plugin capabilities. I will also introduce Subagents for breaking down larger tasks. The focus is not on opening every function but on letting you understand: What is AI currently doing, is it off the right track, and when should you intervene? 5. Just Because AI Finished Doesn’t Mean the Job Is Done We will check sources, numbers, dates, formats, and any content that AI includes but lacks evidence. I will guide you to outline the “Approval Line”: before sending emails, submitting, publishing, paying, deleting, and changing permissions, AI must pause and wait for your confirmation. 6. Documenting Successful Practices for Future Use Finally, I will introduce Record & Replay, and how to save the successful methods you implemented this time. Next time, just switch in a different email, spreadsheet, teaching material, or attachment, and you can run through the process again without needing to re-educate AI every time. 🧠 What I Really Want to Teach You in This Class Is Not Just One Button AI functionalities will continue to update; today’s button locations may look different months later. So I don’t want to just take you on a tour of the function menu. I want you to learn a judgment method that you can continue to use afterward: What work is suitable for AI? How should data be prepared? How should requirements be articulated? What should you observe during execution? Finally, how to validate results? Once you’ve completed your first task, you can extend this method to any future administrative, planning, operations, preparation, research, spreadsheet, or presentation tasks. 🙋‍♂️ About the Instructor: Who Am I? I am Ray Cat, a full-stack engineer and entrepreneur, and the founder of Redia Labs, LLC. I have published a technical book on generative AI application development, "Starting from Scratch to Create a Generative AI Platform", and currently independently develop and operate multiple software products while sharing AI practical experiences and entrepreneurial insights with over 15,000 readers on Threads. In my daily work, I don’t just rely on AI to write. I have it read emails, look up information, analyze ads, organize expenses, process documents, and create presentations, followed by my verifying the results and deciding on the next steps. You could even say that my whole company runs on AI. What I really want to show you in class is how I delegate work, what errors occur in the process, and how I finally confirm whether the results are usable. 🎟️ Event Information This will be a three-hour practical course I've prepared with great care. It’s not just about sitting and listening—please bring your laptop, and we’ll work together to truly delegate your first task to AI. Course Duration: 4 hours Number of Participants: 25 On-Site Support: Ray as the instructor + 2 technical assistants Course Fee: 2,980 NT$ (with a discount of 1000 NT$ for those who previously registered for the iOS Vibe Coding course) Compatible Computers: Windows or macOS; detailed account and equipment preparations will be notified before the course Data Security: Class will use fictional common data, no need to upload sensitive data from companies, clients, students, or parents Location: Happ. Little Treehouse! 302, Shansong Address: No. 2-3, Alley 709, Section 4, Bade Road, Songshan District, Taipei City, 3rd Floor-302, opposite Access Instructions 1. The entrance is located in Alley 709, Section 4, Bade Road. After exiting the 5th exit of Songshan MRT Station, cross the road, and walk straight into the alley between 92 Liang Mian and 7-11. The entrance to Little Treehouse is on the left; just push the door to enter. 2. If you exit from the 1st exit of Songshan MRT Station, you can pass through the claw machine store at No. 715, Section 4, Bade Road; the entrance to Little Treehouse is on the right; just push the door to enter. 3. This building has no elevator; you need to walk up the stairs, which are relatively steep. Are you ready for AI to truly begin assisting you with your work for the first time? You don’t need to be an AI expert first or research every function beforehand. Bring your laptop, and I'll walk you through the first steps, helping you genuinely delegate a task to AI.