Long-form essays, architecture deep dives, and practitioner reflections on enterprise AI — experience-driven, non-promotional. Published on Medium and curated here.
I write about the decisions that don't have clean answers yet — how to govern agents that act autonomously, when orchestration patterns break down, and why most enterprise AI strategies fail at the handoff from prototype to production. These pieces shaped the thinking behind The Agentic Enterprise Strategy.
An enterprise decision framework for the build-versus-buy question in AI — examining why more organizations are choosing to build, what's changed in the cost calculus, and when buying still wins.
A comprehensive analysis of Moltbook, the social network designed exclusively for AI agents. Exploring what happens when agents interact autonomously — and what it means for the future of multi-agent systems.
Why agentic AI deployments fail when they lack a grounding data layer. The case for building agents on top of your system of record — not around it.
The enterprise obsession with building agents is misplaced. Value delivery — not agent deployment — should be the north star. A practitioner's argument for outcome-first agent strategy.
A practitioner's scan of the nine most consequential AI developments in early 2026 — from model economics to regulatory shifts to enterprise adoption patterns.
Choosing the right AI model for enterprise use cases is harder than it looks. Part 1 of a two-part series on building a structured model selection process.
The practical framework for model selection — a decision matrix covering cost, latency, accuracy, governance, and deployment constraints for enterprise AI teams.
AI is transitioning from a research curiosity to a fundamental economic driver. What this phase shift means for enterprise investment, talent strategy, and competitive positioning.
From healthcare to finance to media — every industry is grappling with how to disclaim AI-generated content. A cross-industry analysis of emerging disclaimer patterns and what they signal.
A deep dive into the circular capital dynamics of the AI industry — where compute providers, model builders, and chip makers are funding each other in an unprecedented feedback loop.