AI × Product (3)
Most teams focus on the model.
The real challenge is everything around it.
Context, memory, evals, latency, fallback logic, and guardrails are what make AI usable in production.
AI demos are easy. Reliable AI products are not.
Starting an AI × Product series.
AI won’t replace product thinking, it makes it more important.
Without understanding the user and the business, it’s just noise.
Let’s build with intent, not just add AI for the hype.
AI × Product (2)
AI feels powerful until you realize it’s only as good as the context, data, and boundaries you give it.
Great AI products don’t just generate, they guide, constrain, and make outputs actually useful.
The real work is not the model, it’s the thinking behind it.