Agentic AI risk is not a model problem. It is an operating model problem. Most agentic deployments fail not because the AI is malicious, but …
Your Agentic AI Is Not Evil, It Is Just Over-Permissioned

AI strategy, product development, and emerging technology insights.

Agentic AI risk is not a model problem. It is an operating model problem. Most agentic deployments fail not because the AI is malicious, but …

AI reasoning reliability is not a model selection problem. It is an operating model problem. If your team cannot define what reliable means for your …

AI progress has long meant bigger models — more parameters, more data, more compute. But the organizations actually shipping production AI systems, as I explored …

Nearly half of all mobile app users uninstall within 30 days. The majority of those uninstalls happen in the first 24 hours. In developing markets, …

Building a habit-tracking app revealed product tradeoffs that no framework teaches. State management, async failures, and data modeling decisions shaped the product more than any feature spec.

Most AI failures are leadership failures, not technical ones. A three-question framework for evaluating AI decisions – covering human agency, truthfulness, and power asymmetry – before any model reaches production.

A decade of scaling enterprise operations – from Oracle migrations to Fortune 500 client portfolios – taught lessons that map directly to the challenges organizations face when deploying AI.

Introduction: In the rapidly advancing world of technology, science fiction is becoming reality. As a fan of the Matrix movies, I’ve always been fascinated by …

AGI and Robotics in The Great Reset: An Uncharted Technological Journey Following up on our introductory post to the series Embrace Resilience: ‘The Great Reset’ …

The Age of Rapid Change We are living through one of the most compressed periods of technological and social transformation in human history. The pace …