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

You can now build your own Retrieval-Augmented Generation (RAG) agent that answers questions using your documents from Google Drive—and it only takes a few minutes with Google’s Agent Development Kit (ADK). In this brand-new tutorial, I’ll walk you through a complete ADK workflow that: ✅ Connects your agent to Google Cloud and sets up a knowledge base ✅ Uploads and manages your documents for smarter responses ✅ Instantly answers questions with citations from your actual files ✅ Expands easily with new docs to make your agent even more powerful This is the perfect crash course if you're looking to break into real-world AI development and learn RAG from the ground up. And yes—I'm giving away the entire source code for free. Ready to build your own document-aware AI assistant? Click the link below to watch the full tutorial—and make sure to subscribe so you don’t miss future drops. Cheers, Brandon Hancock 🧑‍💻 P.S. Here is the source code: 👉 https://github.com/bhancockio/adk-rag-agent