In brief: OpenAI is a company developing models and products based on artificial intelligence. When using them in a company, it is necessary to assess the specific model, terms, data handling, cost and output quality.
How I use OpenAI in practice
I use OpenAI where it shortens repetitive work while leaving responsibility for meaning with a person. I need a version of the brief, test examples, an error record and the possibility of rollback. I assess not only speed, but also accuracy, cost, data security and the time needed for review.
What to watch out for
A fluent answer is not a guarantee of correctness. OpenAI can omit context, confuse a source or change behaviour after an update. Critical outputs must therefore be traceable, verifiable and able to be stopped in the event of an error.
Questions for decision-making
- Which narrow task should the technology improve?
- Which data may it use, and who checks the output?
- On which real cases will we measure accuracy and costs?
- How will we stop or roll back the process if there is an error?