In brief: A database is an organized data store designed for reliable storage, search, and modification. Its structure should match how the application and people work with the data.
How I use Database in practice
I first choose a narrow task with a clear input and controllable output. I write down which data the system may use, what it must not decide alone, and who approves the result. I compare a small sample with manual work; only after finding typical errors do I address broader automation.
What to watch out for
A demo is not production. A few prepared examples may work while edge cases, Czech language, or new inputs fail. Without real test cases, human review, and cost measurement, scaling is premature.
Questions for decisions
- Which narrow task should technology improve?
- What data may it use and who checks the output?
- On which real cases will we measure accuracy and cost?
- How will we stop or roll back the process on error?