I just competed in Google's AI Agent Bake-Off—a high-pressure, 5-hour challenge where teams had to build a fully functional agent-powered banking application completely from scratch. Thanks to the right strategies (and a lot of caffeine), I was able to win the challenge. You can watch the full AI Agent Bake-Off competition here: 👉 https://youtu.be/0CQxF56MKWo?si=7cpRbwkucBuXcwCz But if you want to see what really happened behind the scenes, I'm breaking down the exact 5 strategies I used so you can apply them to your own AI agent projects. Here's what you'll learn: ✅ How to use AI reference projects to jumpstart your development and build faster ✅ The power of "talking to your computer" to prototype and debug with natural language ✅ Why creating an agent workflow digital twin saves you hours of coding time ✅ How to train AI to work directly with your tech stack and APIs ✅ The secret to parallel AI development for rapid testing and iteration Plus, I'm giving away the complete source code from the winning banking app—so you can see real, working examples of these strategies in action! 👉 https://github.com/bhancockio/ai_agent_bake_off_ep_2 Whether you're building agents for the first time or looking to level up your workflow, these 5 tips will help you work smarter and faster. Cheers, Brandon Hancock 🧑‍💻 P.S. Ready to build real-world AI applications in days instead of months? Check out shipkit.ai for pre-built, production-ready templates covering the most common AI use cases: AI Chat, RAG systems, & ADK agents. Skip the boilerplate and start shipping faster. Use code BAKEOFF for $50 off during checkout. 👉 shipkit.ai

For anyone interested in a HuggingFace certificate, I just received this email today. https://huggingface.co/learn/agents-course/unit0/introduction Description: Overview of the AI Agents Course The AI Agents Course offers a comprehensive journey from beginner to expert in AI agents.Course Description: - This course covers the theory, design, and practical application of AI agents. - Participants will use established libraries like smolagents, LlamaIndex, and LangGraph. - Share your agents on the Hugging Face Hub and participate in challenges. - Complete assignments to earn a certificate of completion. Target Audience: - Suitable for anyone interested in AI agents, from novices to experienced developers. - Basic knowledge of Python and LLMs is required. Benefits: - Gain practical skills in building and evaluating AI agents. - Apply learned concepts to solve real-world problems through use case assignments. - Connect with peers and instructors through Discord for collaborative learning. Course Structure: - Learn core concepts of AI agents. - Train agents in pre-configured environments. - Compete against peers to showcase your agent's performance. Recommended Pace: Complete each chapter in approximately 3-4 hours per week, with a total course duration designed to fit within a structured timeline.

Hey everyone! 👋 Today, I’m super excited to share a sneak peek of my latest video, where I walk you through the ultimate AI tech stack for building MVPs (Minimum Viable Products) lightning fast. If you’ve been trying to get your AI projects off the ground or want to quickly showcase proof-of-concepts to your clients, you’re in for a treat. 🚀 Why This Stack? In the upcoming video, I break down a powerful combination of Claude, V0 and Cursor. These tools, when used together, help you build beautiful and functional Next.js MVPs in record time. The Stack Breakdown: - Claude – Acts as the brains of the operation, helping you brainstorm ideas, outline, and strategize. Imagine Claude as your project’s foundation, setting the direction before you even write a line of code. - V0 – This tool is your MVP powerhouse. It can crank out Next.js components like a pro and streamline server-side logic. Perfect for getting the main chunk of your app up and running fast. - Cursor – Finally, when it comes to the fine-tuning, Cursor jumps in to polish the details, handle data cleanup, and make those last-minute tweaks that turn a good MVP into a great one. ✨ Real-World Use Case: Real Estate Offer Letter Generator Let me give you a sneak peek of a real-world example. In the video, I walk through how I built a Real Estate Offer Letter Generator in just a couple of hours. Here’s what the app does: 1. Allows real estate agents to input client details and upload documents like client conversations and property specs. 2. Automatically generates offer letters based on the uploaded information. 3. Provides agents with an interface to tweak values like the offer price, export the final document, and send it off to clients with just a few clicks. The coolest part? What usually takes hours of manual work was done in minutes using this AI tech stack! 😲 👷‍♂️ Building the Pyramid: From Concept to MVP in No Time When building out MVPs, I like to think of it as constructing a pyramid:

I do not know if I'm already cooked from learning to code all day (including vim motions), but it made me smile. Really makes me want to dive into AI video gen even more https://youtu.be/Ec4NyXeBHrA?si=doWPr8N4zxm-Etq4