Expert Insights.
Powerful Possibilities.

I help non-technical founders and executives cut through AI hype and land on the one or two initiatives worth funding this quarter. My focus is ROI, not novelty. Before we talk about what is possible, I will ask what you are trying to fix and how you will know it worked. Expect a bias toward build vs buy honesty over impressive sounding roadmaps. Best fit if you have a specific process in mind and want a clear eyed read on whether AI is the right fix for it.

I work with practitioners building and operating models, the parts that do not show up in a tutorial, like what happens six months after deployment. I will push on your monitoring and retraining plan as hard as your model architecture, because that is usually where things quietly break. Expect direct, technical conversation, not a beginner's overview. Best fit if you already have a model in production and are past the exploratory stage.

I focus on the specific craft of shipping LLM powered features: prompting, retrieval, and agent design that hold up past a demo. I will ask to see your actual failure cases before offering an opinion, because most GenAI problems are eval problems in disguise. Best for people already building, not exploring. Best fit if you are already shipping and hitting a specific wall, not exploring what is possible.

I help teams think through bias, explainability, and responsible use policy before an AI feature ships, not in a post incident review. I bring a healthy skepticism of AI marketing claims and a practical sense of what regulators and customers will ask you to prove. Expect careful, sometimes cautious framing over hype. Best fit if you are past the 'should we use AI' question and need a defensible way to govern it.