I thought I was moving a website. I ended up reconsidering how knowledge should survive the next generation of the internet — why Markdown, Git, and deliberately boring architecture became a technical-debt strategy, and what twenty years of WordPress taught me about enterprise modernization.
The goal of AI should be to make the next problem easier, not the same problem more expensive. That idea became the foundation of my new book: Reusable Intelligence Beyond Inference: Building AI Systems That Learn When Not to Reason AI is becoming remarkably…
The next test of intelligence is knowing when not to use more of it. My LinkedIn feed is full of the same three words: “AGI has arrived.” Whether we have actually crossed that threshold will be debated for years. We do not need to settle it today. Because if…
My LinkedIn feed is full of one question: "Has AGI arrived? In the latest edition of Technology Bytes, I ask a different one: If AI is now intelligent enough for us to debate AGI, can it solve a simpler problem for itself? Can AI become cheaper to run, lower…
I’m looking forward to speaking at Green IO London 2026 on: Green Agentic AI: Optimizing Cost, Energy and Carbon Agentic AI can consume orders of magnitude more compute than a simple chat interaction. As agents reason, call tools, retrieve context, retry…
AI is getting remarkably good at reasoning — but why should a system keep paying to rediscover what it already knows? A handbook for building AI systems where intelligence accumulates: reuse the known, reason about the new, escalate the uncertain.
Episode 100 marks an important milestone for Agentic AI: The Future of Intelligent Systems. But rather than look back, this episode looks ahead. AI is moving beyond models, copilots and individual agents. As enterprises deploy hundreds or eventually thousands…
100 episodes. One evolving question: what does the future of intelligent systems really look like? When I started Agentic AI: The Future of Intelligent Systems, the conversation around AI was very different. We were focused on models, prompts and copilots.…
Episode 100 marks an important milestone for Agentic AI: The Future of Intelligent Systems . But rather than look back, this episode looks ahead. AI is moving beyond models, copilots and individual agents. As enterprises deploy hundreds or eventually…
The current token economics model of AI is not designed for enterprise scale. Every time AI reasons, the meter runs: more prompts, more context, more agent steps, more tokens and more cost. That makes sense when the problem is novel, unknown or exceptional.…
AI leadership is not about chasing the next model. It is about building enterprise intelligence that survives the next model. A new AI model is released. It is smarter, faster and cheaper. Does your strategy change? AGI is “near.” Does your strategy change…
The internet taught companies to design information for humans. AI may force companies to redesign information for machines. For decades, the content pipeline was simple. A company created information. A human found it, read it, interpreted it and acted on…
Most organizations today have an AI strategy. They have copilots, AI councils, experimentation programs, model evaluations, agents and growing portfolios of AI use cases. Leadership teams are approving investments and asking every function to explore how AI…