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.

Google looks like it’s prepping a credit-based usage system inside the main Gemini app, plus a new images section that hints at stronger built-in image tools. - Credit pool instead of fixed caps, easier to plan heavy usage - Monthly allowance across models and features, option to top up when you run out - Brings Gemini closer to the consumption style we already see from OpenAI and Anthropic - Makes it simpler for Google to add premium features without forcing a huge plan jump - Matters for agentic workflows, Deep Research, Deep Think, and long multimodal sessions that chew through compute - New dedicated Images section in the web UI, could mean improved image generation or even an in-app editor - Fits Google’s bigger move to unify billing across Gemini, AI Studio, Flow, and other tools, which is great if you are automating across multiple surfaces Read the full article here: https://www.testingcatalog.com/google-prepares-credit-system-for-gemini-and-new-image-tools-2/

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

Big announcement. I've been partnering with @Ben Williams, an AI Solutions Architect who's been deep in Claude Code for a while now, and we're launching a Claude Code workshop series here in the community. If you haven't been paying attention to Claude Code, you need to start. This is hands down the most powerful tool I've seen for building real things fast, and you don't need to be a developer to use it. We're talking landing pages, business tools, automations, scripts, dashboards, client deliverables... built by you, in plain English. Whether you're implementing AI into your own business or selling AI solutions to clients, Claude Code is going to be a game changer for what you can offer and how fast you can deliver. Here's the plan: - We're kicking off with a video walkthrough from Ben covering Claude Desktop basics. Chat, Cowork, and Code. What they are, how they're different, and why Code is where the magic happens. - A second video on getting set up with Cursor (an IDE) will follow shortly after. - Then we're going live with a hands-on workshop series where we'll actually build together. This is the direction we're taking the community. Get excited!! Watch the video, drop your questions below, and start getting familiar. 👉 Live Session #1: Wednesday April 22 @3:30PM MDT More coming soon.

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