AI Engineering
Shipping AI features into real products, stack choices, guardrails, and engineering practices once model behavior is part of the app.
AI Engineering
The practices around putting AI into a real product, not the models themselves: choosing a stack without overengineering it, keeping behavior predictable with guardrails and evaluation, and the engineering foundations that matter more once model output becomes part of the application surface.
