Start with a specific brief
AI is more useful when it has a clear task. Describe your reader, their question, the purpose of the content and the constraints. Give the system your verified source material when available. Ask it to identify missing information instead of filling gaps with invented details.
Useful tasks include organizing notes, suggesting an outline, identifying unclear passages and generating questions a reader might ask. You remain responsible for the final claims and editorial decisions.
Separate research from drafting
Collect reliable sources first. Then use AI to group ideas and draft from the material you provide. Keep a record of where factual claims came from. An answer that sounds confident is not evidence that it is correct.
- Define the question and intended reader.
- Gather and review source material.
- Build an outline around the reader’s task.
- Draft with specific examples and limitations.
- Verify claims, links and quotations.
- Edit for clarity and publish after human review.
Protect the quality of the work
Look for unsupported statistics, fabricated experiences, repetitive explanations and recommendations that do not fit the reader. Replace vague claims with concrete instructions. Never claim firsthand testing that you did not do.
Before putting private customer or business information into a service, understand the relevant data settings and permissions. Use anonymized examples when sensitive details are unnecessary.
Automate after the process works
Document a manual process before connecting tools. Begin with a low-risk step, such as organizing approved notes. Add a review checkpoint before anything is published or sent. Keep a way to stop the workflow and correct mistakes.
Choose one repetitive task. Write its input, expected output and quality check. Test it on a small sample before extending it.
Build the smallest useful version. Learn from real people. Improve the system before adding more complexity.