AI should help with one clear task. A person checks key facts.
X25GO KNOWLEDGE · ChatGPT and AI for everyday SME work
AI for summarising: A concrete practical example
This guide covers AI for summarising. Use one real case and keep the next step clear.
What matters in practice
Use one real case. Record the start and goal.
A reliable way to work
Name one owner. Record the current state.
Change one point only. Then check the result.
Check the result again later. Keep only what helps the goal.
- Start with what matters now.
- Keep the scope easy to explain.
- Write the goal in one short sentence.
- Use one real case.
- Check the key facts first.
- Check names, values and dates.
- Use the same rule for the whole test.
- Write down open points.
- Compare the result with the start.
- Stop when a clear error appears.
- Do not add a second change too early.
- Let a person review important claims.
- Keep one owner for the follow-up.
- Write down the reason for the decision.
- Check the result again later.
- Share the result with the right person.
- Write the goal in one sentence.
- Record the start and one real case.
- Check the key rule.
- Name the owner and approval point.
- Set one measure and one date.
- Starting without a clear goal.
- Changing several points at once.
- Using a result without a final check.
At a glance
Four relevant points to understand and check on this page.
AI for summarising: Decide in advance which claims, numbers and open points must remain in the summary.
AI should make one concrete task faster or clearer. The goal and the facts should be clear before the first prompt.
Use a real case with starting point, change and verifiable result instead of an abstract example.
Use one real case for AI for summarising. Record which rule you tested and whether the result meets the goal.