Ozzy just dropped an absolutely killer tutorial and I had to share it with you all. He walks through building an AI agent that creates ready to send HTML emails in seconds. Seriously, this thing just handles all the heavy lifting while you focus on other stuff. The best part? We're also giving away the complete template and step-by-step setup guide to everyone in the group for FREE. It's the same system we've been showing people on our strategy calls, but now you get the full breakdown. You'll learn how to: ✅ Set up your AI agent from scratch ✅ Train it to write emails in YOUR style ✅ Auto-generate professional HTML emails that actually convert All within an hour! So if you're looking to make some money with email marketing or implement this for a client, this is honestly going to be huge. And if you haven't booked your free strategy call yet, definitely worth booking one soon. They're booking up fast and the value were giving away on these calls is honestly crazy. Book a FREE AI Strategy Call! 🚀 Link to the lesson & template 📧

Hi everyone, we're looking for some ideas for marketing automations to build. So what would make your day 10x easier? Let us know by voting below or adding suggestions in the comments: 👇

Google just dropped one of the most advanced AI image generation models yet: Gemini 2.5 Flash (code name Nano Banana). Its biggest breakthrough? It solves two big challenges that’s been holding AI marketers back for years: character consistency, and part isolation. That means you can now generate creative assets that actually stay on brand across ads, posts, and campaigns opening up an entirely new level of possibilities. As well as this, the model just ROCKS. It's super fast, efficient, and might just even rival GPT Image Gen 1's quality! SO... over the past day or two, I’ve been experimenting with the tool myself and collecting some incredible examples from other creators. 📽️ Check the video attached to this post for my full breakdown. In the meantime, here are some standout highlights: - Character consistency test — ChatGPT vs Gemini 2.5 Flash, same prompt and images: 🔗 Watch here - Image merging — This user combined three separate images into one seamless scene using a single prompt: 🔗 See example - Ad creative — Fraser used it to design stunning ad visuals: 🔗 View here - 3D model generation — This marketer turned a single photo into 3D models: 🔗 Check it out - Ad reuse with new products — An ad manager reimagined winning creative for a totally different product: 🔗 See example - Color grading — Say goodbye to Photoshop and Lightroom; this user used Gemini 2.5 Flash for professional-grade color correction: 🔗 See results - Anime-inspired edits — Isolating part of a photo for a bold, eye-catching social post or ad: 🔗 View edit

I'm currently building a full stack Conversational AI app for my brand to handle analyzing and recommending optimizations based on Ad metrics. Up until Now, Claude had been my go to since it handled larger data pools with better accuracy and it was slightly better on the creative ideation side (Since our ads have a robust naming system, the name of the ad gives a break down of the entire ad creatives content). Now that GPT 5 Pro is out and making its rounds I've heard it might be the new Gold Standard for accuracy on Large data sets (specifically csv). Anyone have any good insight on this I can consider while building out these API's?

Despite marketing being a super vulnerable to the wave of AI Automation, lot's of marketers still refuse to use AI in their workflows... But that's like just standing there waiting to be crushed instead of grabbing a board and surfing it to the shore. In this video I breakdown the most common reasons marketers are reluctant to embrace AI... And spoiler alert, they aren't rational. If you're struggling to find the motivation to start implementing AI systems, this video is for you!