Hi Everyone, These past two weeks, I've been super busy figuring out a few things and testing the Chimera enhancements. I’ve also been working on starting to materialize a project I’ve been going back and forth on for months. Virtual Agents. I’ll explain more in the future, but basically, I’m trying to create a personalized set of agents—each of them working either individually or as part of a team—aimed at achieving specific business process automations. The idea is to build a catalog of virtual agents that you can almost template-ize and offer to businesses directly from a catalog. This will require quite a lot of work, but I believe the potential, once it’s done, is pretty high. My plan is to not only offer these myself, but also make them available to other AI practitioners like you—so you can re-sell these agents without having to build them yourself. They would have proven reliability and be tested in real business cases. Would this be something you’d be interested in? For example, being able to offer robust AI solutions and automations without having to build them from scratch?

🚨 MIT just dropped a game-changer for anyone building with AI (Full document attached) They analyzed 831 ways companies are making AI safer and sorted them into 4 buckets: - Governance & oversight - Technical & security - Operations - Transparency & accountability Operations dominates with 36% of all safety measures. What's everyone actually doing: - Testing & audits (127 different approaches) - Setting clear data rules + live model monitoring - Publishing risk assessments that buyers actually trust What almost NO ONE is doing (<1% adoption): - Model alignment checks - Conflict of interest shields - Whistleblower systems - Energy impact tracking This is a MASSIVE opportunity gap 👀 Why this matters for our community: 1. Regulators are watching - They're 100% using this list to craft new rules 2. Investors are asking - Show them you have these controls = faster funding 3. Early movers win - Lock in these practices now before they become mandatory https://airisk.mit.edu/blog/mapping-ai-risk-mitigations

A few weeks ago I floated the idea of mapping an entire company structure with AI agents filling every role. I wasn’t sure it would fly, but the more I explored it, the more convinced I became: this is the future of truly agentic systems. 👍 Automating email replies? Cool. 👍 Auto-posting on social? Also cool. 👍 Following up with leads on autopilot? Super useful. 👍 AI agents answering phone calls? Huge time-saver. 🤯 The real magic happens when every one of these functions (and many more) connects seamlessly inside a business, so people can focus on what they do best: their craft. No more juggling calls, inboxes, invoices, or appointment confirmations. AI agents can already handle all of it. So... it begins! Meet Tony and his team, the virtual CEO and crew I’ve created to orchestrate this agentic operation. This post kicks off a new series where I’ll share the project’s progress. Stay tuned!

How would you feel if your boss was an AI? Does it sound crazy? Maybe we're not that far from it... Recently, I saw how the founder and CEO of heyBoss AI stepped down from her role to be replaced by the world's first AI CEO, Astra. This isn't just a marketing stunt. They've built a complex agentic system composed of AI engineers, writers, SEO experts, and other roles traditionally filled by humans. Astra orchestrates all these subagents under her direction. 'She's faster, smarter and more reliable than you. She works 24/7, speaks 30+ languages and has no ego or politics.' This is the feedback the previous human CEO received after the transition. I believe this is just the first of many such changes to come. Having thought about this concept for months, seeing it actually happen reassures me that I'm on the right track with my own project. If executed properly, it could revolutionize how companies operate today. My project, still in early development stages, aims to build an entire AI company structure, not just a CEO here and an engineer there, but the whole ecosystem. The underlying idea is to let people focus on what truly matters while AI handles everything else: customer service, invoice processing, inventory management, automated forecasting, CRM communication, legal and tax advice, and much more. All these functions can be automated with AI today, I just need to integrate them to work harmoniously. I'll share updates as we progress, but I'd love to hear your thoughts. Do you think this vision is impossible, or do you believe we'll see it happening soon in some form? Also, what parts of business operations do you think should remain human-driven, even in a heavily AI-augmented organization?