Putting AI Into Production Without the Hype: A Checklist
The unglamorous engineering that turns an AI demo into a production feature: evals, fallbacks, cost controls, prompt versioning, and the human checkpoints that keep it safe.
How to Tell If an AI Use Case Is Actually Worth Building
A practical framework for evaluating AI use cases before you build: the four questions that separate projects that ship value from demos that die in a slide deck.