Hey team! I’m thrilled to announce that I’ve just released a brand-new tutorial: Build Your Own AI Email Auto Responder using Make, AirTable, and ChatGPT. This step-by-step guide will show you how to create a fully automated system that drafts the perfect email response tailored to your tone, knowledge, and unique style. By the end of this video, you’ll have built a powerful solution to streamline your email game. I can’t wait for you to dive in! ✨ Here’s what you can expect in this tutorial: 1. High-Level Overview: Get a sneak peek at the full automation in action and learn exactly how the system works from start to finish. 2. Step-by-Step Implementation: Discover how to use Make, AirTable, and ChatGPT to fetch emails, filter spam, and draft perfectly on-brand replies. 3. Beginner-Friendly to Advanced Techniques: Whether you’re just starting with AI tools or a seasoned developer, this tutorial has something for you. 🔥 Why This Tutorial is a Game-Changer: 1. Complete Automation: Say goodbye to tedious email writing and hello to an effortless, automated system. 2. Practical, Hands-On Learning: Watch the magic unfold as we build the system together. 3. Free Templates and Prompts: I’m giving away all the resources used in the tutorial for free, so you can hit the ground running. If you have any questions, feel free to drop a comment below! Cheers, Brandon Hancock 🧑‍💻🥂 🎥 P.S. Here’s a link to the source code: https://github.com/bhancockio/ai-email-autoresponder-make-airtable-chatgpt

Hey everyone! Quick update on this week’s course coaching call. Unfortunately, I need to reschedule the call. I’m currently in Thailand, and the co-working spaces I planned to use closed earlier than expected. As much as I’d love to stick to the schedule, the walls here are paper-thin, and I want to respect everyone staying nearby. Here’s the plan: - The course coaching call is postponed to early December (Dec. 1st or 2nd, exact date TBA). - You’ll still get all six promised coaching calls! Plus, I’ll make up for this by adding extra content when I’m back, including those bonus modules we’ve talked about. Also, keep an eye out later today for a special drop—a 3-hour YouTube tutorial on building a full-stack AI application! If you want a crash course or a refresher on what we’ve been learning, you’re going to love it. I’ll send more details on the new call schedule soon. Thanks for your patience and understanding. Can’t wait to catch up with you all soon! 😊 Cheers, Brandon Hancock 🧑‍💻🥂

Hey everyone! I messed up big time, and I’m so sorry I missed tonight's call! Right after work, I went straight into deep recording mode, got completely lost in it, and mixed up my days. I'm pushing hard to get everything wrapped up before I head out on vacation, and I’m determined to get this new video out for you guys beforehand! The good news? I’ve made a ton of progress, and the video will definitely be dropping later this week. It’s going to be awesome, and I can’t wait for you all to see it! To make it up to you, I’m rescheduling our coaching call for tomorrow at the exact same time—6 PM Eastern. Please check the calendar link inside Skool to join the call tomorrow. https://us06web.zoom.us/j/88147911035?pwd=sH3IK3KB5rb2C4tNKJcFadga96c8k3.1 Once again, I’m really sorry for the mix-up! Thank you so much for your patience and understanding. Looking forward to seeing you all tomorrow! Cheers, Brandon 🧑‍💻

Hey team! I'm thrilled to announce that I've just released a brand-new crash course on creating a free vector store with Superbase! This tutorial is your ultimate guide to mastering data storage and retrieval augmented generation (RAG) to chat with your data like never before. By the end of this video, you'll have built a mini full-stack application that lets you save emails to a vector store and chat with your previous emails. I can't wait for you to dive in! Here's what you can expect in this crash course: 1. Superbase Setup: Learn how to set up a Superbase project, create tables, and store data and embeddings efficiently. 2. Email Storage and Embedding: Discover how to save emails, break them into sections, and embed them for easy retrieval. 3. RAG Implementation: Master the art of querying your vector store to pull relevant information and chat with your data using OpenAI. Why This Tutorial is a Game-Changer: - Step-by-Step Guidance: From setting up Superbase to implementing RAG, I walk you through every step. - Real-World Application: Build a functional app that lets you interact with your data in innovative ways. - Free Source Code: I'm giving away all the source code for free, so you can follow along and customize your project. If you have any questions, feel free to drop a comment below! Cheers, Brandon Hancock 🧑‍💻🥂 P.S. Here's a link to the source code: https://github.com/bhancockio/supabase-postgres-vector-store-yt

I wanted to give you a heads-up on an exciting new tutorial I’ve got in the works. This video is all about building a full-stack SaaS application that pulls in YouTube comments, processes them with CrewAI enterprise, and generates actionable content ideas. If you’re interested in building full-stack AI applications, this is for you! 🛠️ Here’s What You’ll Learn In this tutorial, I’ll guide you through each part of the process of creating this full-stack application. Here’s a breakdown: 1️⃣ Building the Frontend and Backend: We’ll use Next.js to set up the app and deploy it on Vercel. Plus, you’ll get hands-on experience connecting to a Neon Postgres database to manage data. 2️⃣ Integrating with CrewAI Enterprise: Learn how to harness CrewAI’s enterprise features to analyze YouTube comments, filter out casual messages, and focus on meaningful feedback. You’ll see how to create a system that automates data analysis and transforms raw comments into structured, actionable insights. 3️⃣ Generating Video Titles and Descriptions: We’ll configure CrewAI to turn filtered comments into potential video titles and descriptions. You’ll build a workflow that streamlines idea generation and content planning, using CrewAI’s advanced capabilities. 💡 Why This Tutorial is Worth Your Time This tutorial doesn’t just cover building one app—it teaches you how to apply the synthesize pattern for data processing, a core skill in AI development. Here’s why this matters: ✅ Real-World Adaptability: The synthesize pattern goes beyond YouTube. After learning it, you can apply it to dozens of other applications where large datasets need to be turned into insights. Imagine using this pattern for customer feedback, product analysis, or trend monitoring—there are endless opportunities to build your own AI-powered apps! ✅ Hands-On Full-Stack Skills: Get practical experience with tools like Next.js, Vercel, and Neon, and learn how to bring everything together into a seamless app. 📅 How to Catch the Release