Opinion pieces, practical guides, and commentary on what's actually happening in AI, written from the perspective of someone who builds and deploys it every day.
AI Fundamentals
What AI Agents Actually Are (And Why Most Explanations Miss the Point)
Everyone is talking about AI agents, but most explanations either overcomplicate the concept or undersell why it matters. Here's a grounded take on what agents are, how they work, and where they genuinely change the economics of business.
Most organizations approach AI strategy the wrong way around — evaluating tools before understanding problems, or writing roadmaps before auditing their data. Here's a framework that actually reflects how successful AI adoption works in practice.
From ChatGPT to Custom AI: Knowing When to Invest in More
General-purpose AI tools are a legitimate starting point. But there's a point at which the ceiling becomes obvious — and knowing when you've hit it, and what to do next, is where most organizations get stuck.
AI Governance Isn't Bureaucracy — It's Risk Management
Most organizations treat AI governance as a compliance checkbox. The ones that get it right treat it as a precondition for using AI at scale. Here's what responsible AI deployment actually requires, and how to build it without creating a 50-page policy nobody reads.
Not every AI project needs a strategy document, a working group, and six months of planning. Some opportunities are straightforward enough to implement in days and start delivering measurable value immediately. Here are ten worth considering.