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 guys, I'm looking to learn a little bit more about complex AI solutions and building that for clients Does anyone have an idea of any lang-base or pipedream courses or resources you could suggest?

I had this demand on Upwork: Can you please give me an estimation for creating the following tool: An AI-Powered Personalized Stock Recommendation Engine Description: An AI tool that provides personalized stock recommendations based on the user's investment goals, risk tolerance, and market preferences. Features: • Custom Algorithm: Develop an AI algorithm that analyzes user inputs and current market data to suggest stocks that align with their investment profile. • Real-Time Updates: Offer real-time recommendations as market conditions change. • Interactive Interface: Users can adjust parameters to see different recommendations. Why It's Unique: While stock recommendation tools exist, an AI-powered engine that offers real-time, personalized suggestions based on individual profiles is less common and highly valuable. Implementation Tips: • Utilize machine learning models trained on historical stock data. • Integrate a user-friendly interface where users input their preferences. • Ensure compliance with financial regulations by including disclaimers. I’ve been prototyping and brainstormig 1h with cursor, and of course as I need more info I’ve prepared this message for the client I've been brainstorming on your projects and before providing a detailed estimate, I'd like to understand a few key aspects of the project. Core Implementation: 1. User Profile System - Investment profile parameters (risk tolerance, goals, market preferences) - Real-time market data integration with Polygon.io - OpenAI-powered analysis and recommendations - Interactive recommendation interface 2. Technical Stack - Next.js 15 with Server Components - OpenAI API with potential model fine-tuning - Real-time data processing - Modern UI with shadcn components Key Questions: 1. User Management & Access - Is this intended to be a SaaS product requiring user authentication? - Do you need a user dashboard to save preferences? - Will there be different subscription tiers?

🚨 Sunday Call Update 🚨 Hey everyone! Quick heads-up — we need to switch things up for this week’s Sunday course coaching call. If you’ve been around for a while, you know my wife and I tried to see Taylor Swift in Vienna, but the concert got canceled. She was super bummed, BUT… one of her friends won tickets to the New Orleans show! So, we’re here now to try again! We are still going to do the 6 weekly coaching calls for the course. We will just add this one to the following Sunday! Super sorry about this guys! Also, on the drive home Monday night, I’ll have a ton of free time to review your issues on support thread. Y’all are awesome! Can’t wait to see you on our normal Tuesday coaching calls!

🚀 Exciting Course Updates Just Landed! Hey everyone! 👋 I’ve got some awesome news to share with you. Let's jump right in! 1️⃣ New Optional Sidebar Module I’ve added a refactored sidebar module to the course that simplifies logic using Tailwind CSS. This version replaces the old TypeScript-heavy approach, improving consistency across mobile and desktop. Plus, it's broken into bite-sized videos to make it super easy to follow. P.S. If the original version gave you trouble, this update should make things a lot smoother! https://www.skool.com/ai-developer-accelerator/classroom/f4101dd0?md=470aae3fad4041be8eceed7da414c8b7 2️⃣ Scale Resource Now Available The new scale resource is live in the resource section at the end of the course. It covers managing storage limits, scaling your app efficiently, and monitoring behavior using tools like PostHog, DataDog, and Sentry. https://www.skool.com/ai-developer-accelerator/classroom/f4101dd0?md=8794fc6eaa4846b2bacfc392ce38cf7e 🔧 Coming Next: Dev to Production Module I’m currently working on a new module that will walk you through taking your project from development to production. This will include updating integrations with Clerk and Stripe, swapping out databases, and handling all the important steps to make sure your launch goes smoothly. 💬 Got ideas for what else you'd like to see in the course? Drop a comment below and let me know! Cheers, Brandon 🧑‍💻🥂