Today I completed my first workflow under the challenge. Overall it was pretty straightforward in the setup and the walkthrough. However I had to do a couple of iterations to get the keys for NanoBanana and Google all squared away. I had no issues with setup and I was pleased with the final output but I definitely want to dive deeper to improve upon it.

Quick news. We're doing our first virtual event, and the rule is simple: every person on stage has to show their actual work. The actual projects they're selling. The actual outreach they're using to land clients. The actual numbers behind it. No theory. No tutorials. Just what's working in 2026, taught by the people doing it. Waitlist's open. Get on it before tickets go live: -> What's working in AI in 2026 (real projects, real revenue) PS: Annual members of AIS+ get in for free. We will be announcing discounts for monthly members. If you’ve been thinking about joining AIS+, it’s a good time.

Can AI actually trade better than a human? In this video, I tried OpenClaw for 1 month and THIS happened. We put artificial intelligence to the test in a real 30-day trading challenge between me and Samin. To push the experiment to the limit, I gave OpenClaw $10,000 to make money and THIS happened. We compared my strategy against Samin’s AI to see which bot performed better in a tough market. We have the full results, the mean emails between bots, and the big reveal right here. Hope you enjoy as much as we did! Win $100 Cash! Just leave a comment on the YouTube video telling us how many more days we should keep the bots running. We will randomly select a winner in one week!

Anthropic just released the advisor strategy, and it's a big deal for anyone building with Claude. Instead of running every task through Opus, you can pair it as an advisor with a cheaper model like Sonnet or Haiku doing the actual work. In this video I built a dashboard to test how it performs across easy, medium, and hard prompts, and I also show you how to use the same idea inside Claude Code with opus plan mode to stretch your session limit further. GITHUB REPO

Anthropic just launched Managed Agents, and it's basically a way to build and deploy AI agents directly in their cloud without any infrastructure setup. In this video I walk through how they work, what they cost, and what I actually built with them. I also break down why I'm a little disappointed and when you should (or shouldn't) use them compared to tools like Claude Code, trigger.dev, or OpenClaw.