Thoughts on AI strategy, engineering leadership, and practical implementation. No hype, just real-world experience.
Welcome to 2026, the year enterprise AI grows up and starts delivering. If 2023 through 2025 were the years of experimentation, wonder, and 'what if,' then 2026 is the year we answer the question: 'what now?'
Read articleAI has firmly embedded itself in the daily operations of enterprises today. For countless leaders, however, this integration presents a perplexing contradiction. Adoption rates are surging, yet the tangible impact on enterprise value remains elusive.
Read articleWe have officially exited the 'Wild West' era of enterprise AI. The conversation isn't about adoption anymore; it's about value. Governance is not a compliance checklist. It is an operating system.
Read articleMy attempt at a Strategic Letter to Business Leaders on the Generative AI Revolution 2022 to 2025 and the Agentic Future 2026 to 2028
Read articleTwo years ago everyone was excited about chatbots that could write emails and pass bar exams. In late 2025 that feels almost quaint. The center of gravity has shifted from 'chat with a model' to 'run your business on agents.'
Read articleI've been obsessed with the concept of wonder for a while now. What I've found has led me to a critical distinction, one that is foundational to the entire debate about AI's future.
Read articleOver a century ago, E.M. Forster imagined a world where humanity lives isolated in rooms, dependent on a global Machine, communicating only through screens. His 1909 story feels eerily prophetic as we examine today's tech dependency, AI automation, and digital isolation.
Read articleWe once considered transformation a bounded initiative. That is no longer viable. Today, every algorithm begins aging the moment it goes into production. We live inside change, and the only sustainable competitive edge lies in the invisible architecture I call the Human OS.
Read articleModern executive leadership confronts a defining strategic paradox: AI adoption is no longer optional for competitive viability, yet reckless deployment invites severe catastrophe. The only viable path forward is confident, C-suite-led governance.
Read articleExecutives talk about AI adoption as if it's a controlled rollout. On the ground, it's anything but. Employees are already using generative AI privately, and this unmet demand creates both risk and opportunity.
Read articleRemember when clever prompts made AI feel like magic? That era is fading. The next twelve months will be defined by context engineering: the discipline of designing everything an AI sees, knows, and can do before it even thinks about answering.
Read articleAI agents are starting to look and act like coworkers. They draft proposals, pull data, file tickets, even nudge other systems to take action. That's great for throughput—and exactly why leaders hesitate. Here's how to keep autonomy, speed, and trust without opening the enterprise to risk.
Read articleMy experience using Agent Boss, an AI development tool supervisor, to build an AI Research Radar system.
Read articleAI agents are no longer science fiction. They're here, they're working, and they're about to revolutionize how we do business. From customer service to complex workflows, autonomous agents are changing everything.
Read articleHow to lead engineering teams when AI is reshaping every aspect of software development. From skill evolution to team dynamics, here's what leaders need to know.
Read articleWonderment is a profound emotional state characterized by surprise, fascination, and awe. For AI professionals, wonderment is not just inspirational—it's foundational. It's the engine of innovation.
Read articleCut through the AI hype and learn what actually works when implementing AI solutions at enterprise scale. Real strategies, proven frameworks, and honest assessments of what succeeds and what fails.
Read articleIn an AI-driven world, small teams with the right tools can outmaneuver enterprise giants. Here's why agility trumps size every time, and how solo entrepreneurs are leveraging AI to compete with Fortune 500 companies.
Read articleMoving from ChatGPT experiments to production-ready LLM systems requires more than API calls. Here's how to build enterprise-grade AI solutions that actually work.
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