I'm not a technologist by training. I'm a builder who has consistently had to figure out which technologies were real — worth investing time and infrastructure in — and which were noise. That filter is the lens I bring to everything I write here. Not breathless excitement about the latest release, but a measured, operator-level assessment of what this actually means for the people running businesses today.
The most significant technology shift underway right now isn't any single AI model — it's the transition from AI as a tool you use to AI as an agent that acts on your behalf. Stripe's Agent Commerce Protocol is already in production. OpenAI, Anthropic, and Google are all building agentic infrastructure. The businesses that are thinking now about how to make themselves legible to AI agents — through structured data, clean APIs, semantic content, and agent-accessible pricing and availability signals — will be positioned to capture the next wave of distribution before their competitors realize the channel exists.
The technology decisions that matter most for operators aren't the flashy ones — they're the infrastructure choices that determine how your business scales over the next five years. Which data systems you build. How your content is structured. Whether your workflows are documented and automatable. Whether you're building on platforms with durable API access or ones that could change their terms overnight. These unglamorous decisions compound.
Analysis of the technology shifts that actually matter for founders and operators, practical guides for building agent-legible infrastructure, breakdowns of the tools and platforms worth investing in, and an honest ongoing assessment of where the agent economy is heading and what it means for businesses that aren't software companies. All of it filtered through the lens of someone who needs it to work in practice, not just in theory.