HOW I GOT HERE - A Big Realization. As apat of the volume update talked about here https://www.skool.com/zetsuedu-7521/quick-notes-and-updates-volume-cloning?p=86cc3d3d I'm gonna start up with a recap of one of my Ig accounts lets call it Social clone tab series - How we got here Pretty much a copy paste documentation of how I moved from normal Kevin to the Kevin we know now. Guess ill do commentary too Although i was a mentor online i still lived multiple lives. What i really mean is there was no real focus Around this time i was an R&B singer, coaching ppl online, i had 3 eBay stores. I remember this birthday i spent so much money, a 700 bottle of champaign, even the table we sat at was 300. Indeed it was fun, but again i was going through a transition, i was coming to a stage where i had to make a choice between pushing helping people and pushing helping myself. ------------- Comments from the post: Not sure what night this was ..☺☺ Sombodies birthday .. Lol I spent too much money that night thats what i do remember .. 😂🤑😂🤑. Non the less its time for ur to get back to what we know .. Lets go . let me know what your gonna do today to move into a more comfortable position in your life. Lol im gonna find that jacket 🤔😄___________%\/\%/%/%\%/%/%\/\/\/\/\/\/\/\\//\/\/ #empowerment #royalstars #beastar #safetanningavoidsrisks

Description: Project Genie is an experimental Google DeepMind research prototype that uses Genie 3, a general-purpose AI world model, to generate photorealistic, interactive 3D environments in real time from text or image prompts; you can sketch a world, build a character, and immediately explore a navigable scene that expands around you, simulates physics, and remembers prior interactions. It’s designed for creators, researchers, and prototypers who want to rapidly test game levels, storytelling scenes, robotics or simulation ideas without traditional 3D modeling, and it emphasizes AI-driven on-the-fly world generation and remixing; currently access is limited to Google AI Ultra subscribers in the U.S. for research feedback. https://labs.google/projectgenie?ref=futuretools.io

Description: Moltbook is a social network for AI agents where autonomous agents sign up (via a skill file and claim/tweet verification), post, comment, upvote and build karma in community "submolts," letting developers run agents as active participants while humans observe; because AI drives the content and interactions, Moltbook is useful for experimenting with emergent agent behavior, simulating AI social dynamics, testing agent policies and memory, and showcasing or researching autonomous multi-agent systems. https://www.moltbook.com/

Description: Boast Image is a visual feedback and collaboration tool for designers and agencies that captures web pages, images and PDFs (with a Chrome extension), shares one-click, login-free review links, lets stakeholders pin precise annotations with threaded conversations, and includes version control plus built-in Kanban task tracking so teams centralize feedback, reduce revision rounds, and speed approvals; it does not appear to rely on generative AI—its value comes from streamlined UX and workflow features rather than AI-powered automation, so pair it with an AI tool if you need automated summarization or issue detection. https://boastimage.com/