Looks like Google is testing a new Gemini video generation tool called Omni, and it might be a step toward a single model that can handle both images and video. - Omni showing up in Gemini UI text, not just hidden code, so it could be a real product name soon - Screenshot line: “Powered by Omni” inside the video generation tab, which is a pretty loud hint - Today’s setup is split: Veo 3.1 for video, Nano Banana 2 and Nano Banana Pro for images - Omni might be a wrapper on top of Veo, a brand new Gemini video model, or the start of a true omni-model that outputs both images and video - If Google unifies image plus video generation, automation workflows get way cleaner, one API, one set of prompts, fewer handoffs - Competitive pressure is real in AI video right now, with ByteDance’s Seedance 2.0 leading some benchmarks - Google I/O 2026 (May 19–20) looks like the most likely stage for an official reveal If Omni ends up being one model for both image and video output, what would you guys automate first, ad creatives, product demos, or short-form content pipelines? Read the full article here: https://www.testingcatalog.com/google-is-testing-new-omni-model-for-video-generation-ahead-of-i-o/

Happy May! 💰 $250 CASH Prize Winners 💰 Congrats to our top 5 leaders for the month of April! I'll be sending $50 each your way as a huge thank you! Winners: @Jelord Chien @Dave Delaney @Myron Stanford @Sam Abdallah @Iain Munro 💎 New Claude Section in the Classroom 💎 Just dropped a brand new Claude section with 3 videos live now: - 2 intro videos to Claude Code - Workshop #1 (recorded live) - Workshop #2 drops early next week. 🔧 Template Update Quick heads up: Intro to Claude Code: Build a Landing Page is pushed to end of next week. Client builds were breaking all over the place this week and I had to triage. Thanks for your patience. 🚀 Want the Skills, Templates, Blueprints + GitHub Repos? The recorded workshops are free here in the community. All the resource material that goes with them (skills, templates, blueprints, GitHub repos, full tutorials) lives over in Automate What Academy PRO. If you're serious about building and selling AI products and services, come join us: 👉 https://www.skool.com/automate-what-academy-pro/about

Ben Williams is back. This one's all about Skills, the feature that turns Claude into a specialist for whatever you're building. What we'll cover: - What skills are and why they matter - Building your first one in Claude Desktop and Claude Code - Live demo: workshop recording → companion notes - Skills vs. Commands vs. Projects - Sharing skills with your team 📅 Wednesday, April 29 @3:30 PM MDT Missed Workshop #1? Catch the replay in the classroom

Nano Banana 2 has been my go-to AI image model for the past several months. Then GPT Image 2 dropped, and I had to see if it could actually compete. So I ran the same 15 prompts through both models at max quality and scored them on prompt adherence, text fidelity, spatial reasoning, style match, and anatomy. Final score: 9-4 in favor of GPT Image 2 (with 2 ties). I built this entire test using Claude Code inside Google Antigravity. Just brain dumped the idea, Claude Code wrote the Python, made the API calls, compiled everything into a 15-slide deck, and even did a first pass at judging (I pushed back on plenty of its calls). Where each model wins: - GPT Image 2 dominates text rendering (5-0), artistic and stylized work, and authentic photo realism that actually looks shot on a phone. - Nano Banana 2 still wins on spatial reasoning and a more polished, glossy photo aesthetic. For me, GPT Image 2 is my new pick for thumbnails, marketing assets, and community content. I'm officially back in the OpenAI ecosystem for image generation.

DeepSeek just released their V4 models, bringing massive 1M context lengths and powerful agentic capabilities to the table for us to build with, all at a fraction of the cost. Here is why this matters for your workflows: - 1M context length default for all official services - DeepSeek-V4-Pro for top tier reasoning vs V4-Flash for fast and efficient tasks - Seamless integration with OpenAI and Anthropic API formats - Pricing comparison: DeepSeek V4 at $1.74 input and $3.48 output per million tokens versus Claude Opus 4.7 ($5/$25) and GPT 5.5 ($5/$30) Read more: https://api-docs.deepseek.com/news/news260424