AI Engineering
Beyond prompting: learning to work with AI systems
A good prompt is a sentence. A useful AI system is a workflow, with data, tools, checks and people around it.
Krimkar Editorial · · 4 min read
Prompt engineering was the first AI skill most people learned, and it is still worth learning. But inside an organisation, the prompt is rarely the hard part. The hard part is everything around it.
Where does the system get its information? What is it allowed to do on its own, and what needs approval? How will anyone know if its answers start getting worse? Who is accountable when it makes a mistake?
Working with AI systems means designing those answers deliberately: connecting models to the right data, giving agents the right tools and the right limits, and building the review loops that keep quality visible.
This is the shift from using AI to operating it, and it is where much of the new work is appearing.