I highly recommend giving this video a watch. The stats he shares are mind-blowing: Big companies wasted $285 billion on AI last year simply because they don't know how to actually build with it. The biggest takeaway? Only 0.05% of the world actually knows how to use AI to produce real results—like asking AI how to build something and having it do the heavy lifting for you. This video perfectly validates everything we're doing here with Agent Zero. The world is splitting into "consumers" and "producers," and by learning to build autonomous agents, we are positioning ourselves in that top 0.05% of producers. I haven't fully mastered my A0 setup yet, but seeing this data makes the learning curve totally worth it. Keep building. (P.S. Please excuse the language in the video's thumbnail. I definitely don't endorse that kind of thing, but the data inside was just too relevant to our community not to share!)

After downloading various Ollama models on my host machine. I have decided (due to hardware restrictions namely GPU). I cannot afford to use these free models until such time that I have a desktop setup that will enable them to function profitiently. They just take forever to task anything. I will pay for API calls, for the sake of speed. Free really isn't free. You're going to pay one way or the other. My time is spread very thin as is. Also I will be traveling. Not taking my main machine with me. So... Setting up cloud based tools that are compatible with a smaller laptop and phone config. Are what I am setting up now. I am going to be using a Claude Code, Cursor, Agent Zero stack. Although, I'm not certain how A0. Plays into this if I'm using a Lenovo ThinkPad. Its my travel/everyday activity machine. Very small, compact. But it really serves its purpose. Any input regarding this new approach will greatly appreciated. Thanks