Hey guys! What if you could build a high-quality AI-generated newsletter in just 3 minutes? With CrewAI’s newest feature—Conversational Crews—now you can! In my latest video, I’ll show you how CrewAI Chat lets you interact with your agents in real time, refine their outputs, and create fully AI-driven content effortlessly. ​ To prove it, I built a Newsletter Crew that generates complete AI-powered newsletters in minutes—and I’m giving it to you for free! Here’s what you’ll learn: ✅ How to build an AI newsletter in under 3 minutes with CrewAI Chat. ✅ How to refine AI-generated content with real-time feedback & iterations. ✅ How CrewAI Chat works behind the scenes, so you can master the code. ​ Cheers,Brandon Hancock 🧑‍💻 P.S. Download My Best Newsletter Crew for FREE!​ This Crew is packed with top-tier AI content-generation techniques—grab it here: 👉 Download Free Crew

Hi, I was speaking with someone who is doing something creative and wanted people's thoughts. Another CrewAI user is decided to create a individual agent files - Example (each person is an agent with separate file) - - Bob_CEO.py (includes both Agent + Tasks in single file) - - Joe_HR.py (includes both Agent + Tasks in single file) - - Sue_CMO.py (includes both Agent + Tasks in single file) The premise is to create a virtual company using hierarchical structure with more agents under each department. By personifying the agents, it may be easier to maintain and be more flexible to future needs than sequential separate agents.yaml + tasks.yaml. Has anyone tried something like this?

Hey team! I’ve got two exciting updates for you this week: - The second episode of my CrewAI: Noob vs Pro series is now live! 🎉 - **IMPORTANT:** This week’s coaching call is moving to Thursday at 6 PM EST instead of the usual Tuesday time. In this episode, we’re diving into tools—the key to building smarter, more capable Crews. By the end of the tutorial, you’ll know how to: - Build custom tools for CrewAI that integrate with Trello and Reddit. - Use CrewAI’s newest features, like the Before Kickoff decorator, to automate workflows. - Create a Crew that takes tasks from Trello, researches them, writes actionable insights, and updates your board automatically. Why you’ll love this episode: - It’s packed with practical, step-by-step examples you can follow along with. - Perfect for all skill levels, whether you’re just starting or refining your approach. - I’m sharing all the source code for free so you can try it out yourself: Let me know what you think of this episode or drop any challenges you’re facing with CrewAI in the comments—I’d love to hear from you! Cheers, Brandon Hancock 🧑‍💻 P.S. You can download the source code here for free: https://github.com/bhancockio/noob-vs-pro-tools

I noticed there are 2 ways to create agents, tasks, and crews. - 1st Approach: Using YAML and @Agent / @Tasks - - 2nd Approach: Writing Agent, Tasks, and Crew all in the crew.py. The question i have is using the 2nd Approach, you list all the tasks in order which I assume explicitly tells the agent the order of the tasks. In the 1st Approach, because you use a YAML & decorator, does this mean the order is defined elsewhere? The reason i ask, is if later I want to add another task that is in-between others, how do I make sure it happens at the right step? Using YAML, the crew looks like this: (NOTE You do not List the Tasks) @crew def crew(self) -> Crew: """Creates the Test CrewAI""" return Crew( agents=self.agents, # Automatically created by the @agent decorator tasks=self.tasks, # Automatically created by the @task decorator process=Process.sequential, verbose=2, ) When writing another way it looks like this: (NOTE You List Tasks in order you want operated) crew = Crew( agents=[ scrape_agent, vector_db_agent, general_research_agent, follow_up_agent, fallback_agent, ], tasks=[ scrape_youtube_channel_task, process_videos_task, find_initial_information_task, follow_up_task, fallback_task, ], process=Process.sequential, )

Hey guys! I'm super excited to announce that my brand-new RAG tutorial for AI enthusiasts is now live on YouTube! In this video, you'll master RAG with CrewAI, Firecrawl, and advanced techniques to take your AI projects to the next level. This tutorial combines everything you need to know about Retrieval Augmented Generation into an easy-to-follow guide so that you can build powerful AI applications and streamline your workflow. Why You Shouldn't Miss This: - Made for All Skill Levels: We’ll start from the basics and build up to more advanced topics, ensuring you have a solid foundation. By the end, you'll be able to create AI tools, implement advanced RAG techniques, and use Firecrawl for web scraping. - Real Code Examples: This tutorial is packed with practical examples using the latest version of CrewAI. You can follow along step-by-step and see exactly how everything fits together. Don’t wait! Click the link below to watch the RAG tutorial and start building your own AI projects today. I'm really looking forward to seeing the amazing things you'll create with RAG and CrewAI. If you have any ideas or suggestions for future videos, please drop them below! Cheers, Brandon Hancock 🥂🤖 P.S. Because you guys are awesome, here's a link to the source code ❤️ https://github.com/bhancockio/crewai-rag-deep-dive