A prompt can contain information from documents, conversations, or a personal workspace. Before submitting it to a service, understand which details the task requires and which are unnecessary.
Read the relevant data-handling controls and terms for the actual tool and account. Storage, access, and improvement practices can differ between services and configurations. Avoid assuming that one provider’s behavior describes every AI application.
Use an appropriate sample or remove unrelated identifying detail when the task allows it. Keep essential meaning intact so the result remains useful. Thoughtful input selection connects the purpose of the task with the information you are choosing to share.
Try the idea in context.
A formatting experiment can use invented names and a representative document. The example may answer the question without submitting unrelated personal details.
A thought for the next read.
Give review a specific responsibility. Checking a source, testing an instruction, and editing a sentence are different jobs and may need different evidence.
- Include only context necessary for the task.
- Read the tool’s documented data practices.
- Use an appropriate sample when possible.
Follow a related question
Ask why the value is absent.
Missing is not a numberExplain the purpose of important choices.
Trust is visible in the detailsKeep learning
Related background to continue exploring this subject.
Google: prompt design strategies Google: an introduction to language models