How's this for some advanced reasoning? DeepSeek R1 plus web search.

Prompt:

Write a detailed program for a 90 minute workshop on AI Agents. Be sure to cover the basics, practical use cases, and examples of AI Agents you can create with different tools

Reasoning

Okay, I need to create a detailed 90-minute workshop plan on AI Agents. Let me start by breaking down the key components the user wants: basics, practical use cases, and examples using different tools.

First, the workshop should have a clear structure. Maybe start with an intro, then basics, use cases, hands-on examples, and wrap up with Q&A and next steps. Time allocation is important. 90 minutes isn't too long, so each section needs to be concise but informative.

For the introduction, maybe 10 minutes. Welcome, overview, objectives. Then basics: what are AI agents, types, how they work. That could take 20 minutes. Use cases next, maybe 15 minutes. Then hands-on examples, which might be the bulk, like 30 minutes. Then wrap up with Q&A and next steps in the remaining time.

Wait, 10 + 20 + 15 + 30 = 75. That leaves 15 minutes. Hmm, maybe adjust. Maybe 10 intro, 20 basics, 15 use cases, 30 hands-on, 15 wrap-up. That adds to 90.

In the basics section, I need to define AI agents, their components (like sensors, actuators, decision-making). Types: reactive, deliberative, hybrid. Maybe examples like chatbots, recommendation systems, autonomous vehicles. How they work: machine learning, NLP, computer vision, reinforcement learning.

Use cases: customer service (chatbots), healthcare (diagnosis), finance (fraud detection), personal assistants. Should mention benefits like efficiency, scalability, 24/7 availability, but also challenges: bias, data privacy, job displacement.

For hands-on, maybe show examples with different tools. Like AutoGPT for autonomous task completion, LangChain for language models, Rasa for chatbots, Hugging Face for NLP models. Let participants explore these tools, maybe a quick demo or code snippet. But need to keep it simple since time is limited.

Wait, the user wants examples of AI agents you can create with different tools. So in the hands-on section, maybe walk through creating a simple AI agent with one tool, like a chatbot with Rasa or a task automator with AutoGPT. But given time constraints, perhaps provide code snippets and explain the steps rather than live coding.

In the wrap-up, summarize key points, provide resources for further learning, and encourage questions. Maybe a quick quiz or interactive poll to engage participants?

Also, need to consider the audience. If it's a workshop, participants might have varying levels of technical expertise. So basics should be accessible, use cases relatable, and hands-on examples not too code-heavy unless it's an advanced group. But since the prompt doesn't specify, I'll assume a general audience with some technical background.

Tools to cover: AutoGPT, LangChain, Rasa, Hugging Face. Maybe include links or setup instructions in preparation. But the user might not have mentioned setup, so perhaps the workshop assumes participants have the necessary tools installed or will provide guidance.

Wait, the user didn't mention setup, but in a real workshop, setup is important. Maybe add a "Preparation" section with prerequisites like Python, accounts on certain platforms, etc. But the user's query is about the workshop program, so maybe mention that in the preparation part.

Potential time challenges: The hands-on section might take longer than planned. Need to keep demos short. Maybe prepare code snippets in advance so participants can copy-paste and see quick results.

Also, interaction is key. Include polls, Q&A throughout, not just at the end. Maybe after each section, ask if there are questions.

Testing the flow: Intro -> Basics -> Use Cases -> Tools -> Examples -> Wrap-up. That makes sense. But in the initial outline, the hands-on includes creating examples with different tools. Maybe structure the hands-on part into subsections for each tool, with a brief demo and explanation.

Wait, 30 minutes for hands-on. If covering 4 tools, that's about 7-8 minutes each. That might be too rushed. Maybe focus on 2 tools in depth, or provide a choice. Alternatively, split into groups each working on a different tool. But in a 90-minute workshop, group work might be difficult. Perhaps better to show examples for 2 tools, like AutoGPT and Rasa, with code snippets and explanations.

Need to ensure that each example is clear and participants can follow along. Maybe provide a step-by-step guide for one example, then briefly mention others.

Also, include visuals or slides to aid understanding. But since the user asked for a program, not the slides, focus on the structure and content.

Potential mistakes to avoid: Overloading with too much technical detail, not allowing enough time for interaction, not covering both basic and practical aspects as requested.

Make sure to balance theory and practice. Basics and use cases are theory, hands-on is practice. Examples should be relevant and showcase different applications.

Need to check if all required elements are covered: basics, use cases, examples with tools. Yes, the structure addresses all three.

Now, putting it all together with time stamps, making sure each section flows into the next. Start on time, keep each segment within the allocated minutes. Maybe include buffer time for transitions and questions.

Final check: Does the program meet the user's request? Detailed, covers basics, practical use cases, examples with tools. Yes. Okay, ready to draft the formal response.

The thinking process was longer than the actual response.

Mind Blown ??