Notes on product engineering, AI systems and modern digital experiences.
AI PRODUCT DESIGN
Start with a workflow, not a model.
Strong AI products begin with a specific user task and a clearly defined outcome. A dependable solution establishes what users need to review, which actions require approval, what evidence should be retained and how exceptions are handled. Model selection follows those requirements, not the other way around.
Define quality measures before release: usefulness, response grounding, cost, latency, accessibility and safe failure handling. This gives teams a concrete basis for deciding when AI improves the experience.