Hello guys! I’ll keep this short since you already know me. If you are starting out (or starting over) promoting products on WarriorPlus, there are 10 questions that keep you up at night and quietly freeze you: - Which product should I actually promote? - Do I need a list first? - Where do I get traffic without burning money? - Why clicks but no sales? - Will vendors approve me? Will I get paid? - Do I need to show my face or be an “expert”? - How long until the first commission? - Is it too late? - Could I get in trouble or banned? - Why would anyone buy through my link instead of someone else’s? I put the answers in a free 27-page guide: The 10 Questions That Keep New Affiliates Awake at Night. No hype. No income promises. Just what I’ve learned in 18 years, 200+ funnels, and thousands of affiliate requests as a vendor (plus 212 WarriorPlus Deal of the Day awards). Grab your free copy here: https://alessandrozamboni.it/zambo/free-guide-optin.html It lands in your inbox in a few seconds. If you read it, drop a comment and tell me which of the 10 questions was keeping you up. I’d love to hear it. Thanks a lot, and see you soon! Alessandro

Its latest model for coding, cybersecurity, and complicated jobs that take more than a quick answer. https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-carbon/ Google says its teams have seen it work through engineering tasks for days, tackling problems and trying different approaches when it gets stuck. In internal testing, it also achieved more than twice the success rate of Gemini 4 Argon at generating secure code. For those of us building apps, better help finding bugs and fixing security weaknesses could be useful. But we’ll have to wait to try it. Access is starting with selected cybersecurity defenders, with a wider rollout planned. Introductory API pricing is $2 per million input tokens and $10 per million output tokens. That’s the usage pricing for connecting it to software, rather than a monthly chat subscription. The figures sound promising. What interests me is how well it handles an actual project when something awkward goes wrong! I guess we wait and see.

A Video from one of the guys at superhuman.ai that may be useful: https://www.youtube.com/watch?v=ZSqZ3y9WYZA Ever had AI create a graphic you like, then asked for something to match... and got a completely different look? This Claude tutorial shows a three-step approach to keeping your branding consistent. Using a coffee business as the example, it starts with one visual style guide and works through: 1. Create the designs: Business cards, a shop poster, and a matching website. 2. Check the results: Add a review step where Claude checks its work against the design requirements and flags problems. 3. Save the process: Package the workflow as a reusable Claude Skill for future projects. The useful lesson here is giving AI a clear set of design rules, then having it check whether it followed them. If you create graphics for your own products or clients, it’s worth watching how the pieces come together. Less explaining the same things again. More chance of getting designs that look like they came from the same business! Hope it helps

The ONLY 10 Ways to Make Money with AI https://www.youtube.com/watch?v=Fgutvd4-F_0 I particularly liked that she warned about the downsides of vibe coding, the bug testing and fixes that most never mention when they pitch their courses and tell us all AI does it all and how easy it is. (I've been learning just how slow it is due to all the testing and tweaking required!. lol) Anyways - I hope that helps highlight where you might prefer to wander with AI

https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/ Google says it performs strongly on coding, research and working through long documents. It scored 77.9% on a test based on real software engineering jobs, which puts it right up there with the leading AI models. So... is Google back at the front? Maybe. But for now, Argon is only going to a small group of trusted cybersecurity teams. Google hasn’t said when the rest of us can try it. And that’s always my little pause when I see a table full of AI scores. A model can do brilliantly in a test, but I’d still like to see how it handles the sort of messy jobs we give these tools every day :) It’s certainly one to watch. I’ll be more interested when we can actually get our hands on it.