MCP is quickly becoming the go-to standard for integrating powerful tools with your AI agents. If you're serious about building real-world AI solutions, mastering MCP is a must. In my latest crash course, I'm breaking down exactly how you can level up your ADK agents with MCP integrations that actually work. Here's what you'll learn: ✅ What MCP is, how it works, and why it's essential for ADK agents. ✅ How to build your first MCP-powered ADK agent using remote tools. ✅ Step-by-step instructions to set up your own local MCP server and connect it seamlessly to your ADK agents. As a bonus, I'm giving away all the example MCP + ADK code featured in the video completely free, so you can follow along easily. 👉 https://github.com/bhancockio/adk-mcp-tutorial/tree/main This video is packed with practical insights designed to get you up to speed fast. If you’re looking to enhance your AI development skills, don't miss this one. Cheers, Brandon Hancock 🧑‍💻

Hey guys! You’ve been grinding. Building AI projects. Leveling up your skills. But here’s the problem: your skills aren't getting the attention they deserve. And if no one sees your work: - They can’t hire you. - They can’t pay you. - They can’t send opportunities your way. I know because I was in the same spot. I was putting in the work—becoming a better developer, a better creator—but nothing was happening. No inbound job offers. No freelance gigs. No traction. Then I made one simple change that tripled my income: 👉 I built an AI Personal Brand. And suddenly, everything flipped: ✅ Clients started reaching out to me. ✅ Job offers landed in my inbox. ✅ I unlocked multiple income streams—freelancing, digital products, coaching, and more. Want the exact playbook? I just published my latest video that walks you through everything step-by-step! Inside, you’ll learn: - What an AI Personal Brand is (and why it’s the #1 key to attracting opportunities) - The 5 pillars of a personal brand that attracts clients & job offers - How to position yourself so companies & clients chase YOU - The monetization blueprint to turn your skills into real income The bottom line: No more being overlooked. No more waiting. It’s time to take control of your AI career! Cheers, Brandon Hancock 🧑‍💻 P.S. 💡 Want hands-on support building your AI Personal Brand? If you want personalized help building your AI personal brand and landing paid clients, I’ve opened 20 spots for my AI Authority Accelerator—an 8-week coaching program where I guide you step by step. 🚀 Doors open March 10th. Join the waitlist here: 👉 https://brandonhancock.io/ai-authority-accelerator-waitlist Oh, and if you join the waitlist, I’ll also send you my 5-day AI Personal Brand Email Masterclass—where I go even deeper into the strategies from this video. Sign up now, and I’ll send it straight to your inbox.

Hello, I would appreciate some advice on how to learn Crew AI, considering that my coding skills are next to zero. Is that even possible, learning Crew AI I mean, without coding skills? Thank you for any advice that you can give.

Has anybody had much success using the Code Interpreter tool in CrewAI? I've never gotten it to work well for anything remotely complicated and have had to resort to using gpt-o1 (outside of CrewAI) to create code for a custom tool that processes data (that I then put back into CrewAI). It works well, but obviously is not dynamic. I'm also looking at ways to integrate other frameworks like Autogen into a CrewAI flow to handle data analysis tasks in a dynamic fashion. I would urge CrewAI to upgrade its code interpreter capabilities since complex data analysis is a REALLY important use case in the real world! Services like gpt-o1 (at chatgpt.com) do it extremely well (you just upload your data file, write a detailed prompt, and you get great results).

I’m deep in testing O3-Mini, GPT-4o, DeepSeek-R1, and DeepSeek-V3 to figure out which model is truly the best for AI agents. To find the winner, I’m stress-testing them against the most common tasks agents need to handle: 🧠 Instruction Overload: Can it handle rule-heavy tasks without getting confused or hallucinating? 🛠️ Tool Call Hell: Can it handle 5 consecutive tool calls, feeding results from one into the next without breaking? 🔍 Needle in a Haystack: Can it retrieve precise information from large datasets while staying contextually aware? So far, one model is dominating—and I’ll be switching all of my agents over to it going forward. 💡 I’ll share the full results (and the winning model) in my upcoming video—recording tomorrow, dropping Thursday! Stay tuned. Which model do you think will win? Drop your guesses below! 👇