GenIT editorial concept · 3 min read
The most useful AI projects begin with a specific task, a defined audience and a way to judge the result.
Check the data first. Understand its quality, access rules and limitations before selecting a model or designing an assistant.
Build a small evaluation set with realistic examples, including cases where the system should ask for clarification or decline to answer.
Keep human review where errors matter. Make uncertainty visible, collect feedback, and improve the system against measurable outcomes.