Let me start with a little background about the problem. When I made my first Instagram Page, I knew what content to post for my audience but I just couldn't be consistent. I managed to get my first 3k followers within the first few months. It was ok, but I was not able to post consistently, something that many people struggle with. I used to follow a fixed pattern when creating carousel posts 1. Gather the text that I need to write 2. Open up Canva 3. Chose beautiful background images from Pexels 4. Write the text on the background image 5. Add a little bit of branding and post Fast forward a few years and ChatGPT is launched. I realized (being a programmer) that all of this can now be AUTOMATED with AI. So, I began working on the platform for creating Carousel posts for IG. And it works exactly in the same way I created posts manually, except that it uses AI. It uses OpenAI APIs to create the content and fetches images via Pexels API and combines them in an HTML Canvas element which can then be downloaded as an Image. But why Carousel posts? Because Carousel posts have the highest engagement rate (excluding reels) on Instagram as per Later[dot]com And now, with this software I created, I am able to create a Carousel post in less than a minute's time. Sounds cool right? This platform solves the real problem of creating meaningful content quickly and helps stay consistent on social media. This is going to help freelancers who create content for their clients, small to mid-size businesses trying to level up their social media, or even individuals looking to grow their social media. I am yet to release it publicly as it's still in beta and might contain a few bugs. I am also polishing the platform and making it more presentable and user-friendly. If you need free access to the software to test it out, just send me a DM and I'll give you free access to it. In return, please help me improve the platform with your feedback. I will post here once I launch it publicly. I am sure it'll help many.

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

Shout out to @Paul Miller for calling out this channel last week. It is really good for coding AI projects. They have some really good videos!! Also shout out to Sam for putting me on to this Contextual Retrieval for RAG process at our meeting last week. I think it is the way to go for the project I am getting started on. It does make a lot sense for the problem I am trying to solve!

Hey @Brandon Hancock I’m unable to find a walkthrough of the platform you’re teaching to build anywhere I see you talk about what you build but there’s no demo anywhere Could you help me find this pl?

I wanted to ask folks advice using cursor: As the project gets large and complex, I start to see cursor creating files that already exist in other folder locations. Part of this might be user error so I'll tell y ou what I am doing: a. My instructions.md PDF is large (500 lines~) so after a compose session goes on for a while I start a new compose session and feed it instructions.md b. I dont always feed the file I want changed because sometimes I dont know the name of the file where an artifact display appears in c. I noticed that files and folders start to appear in red in cursor, and the only way to get them back to grey is exit and reenter cursor. I thought this was the index so I reindex the codebase but it doesnt affect the coloring Note - I refresh my instructions.md file with the tree structure of the current project but it doesnt seem to solve this Thoughts? Ideas?