AI should help with one clear task. A person checks key facts.
X25GO KNOWLEDGE · ChatGPT and AI for everyday SME work
Giving AI the right context: Risks and limits to know
This guide covers Giving AI the right context. Use one real case and keep the next step clear.
What matters in practice
Mark clear risks. Define when a person must review the result.
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.
- Keep the scope easy to explain.
- Write the goal in one short sentence.
- Use one real case.
- Record the current state.
- Check names, values and dates.
- Use the same rule for the whole test.
- Write down open points.
- Keep the source easy to find.
- Stop when a clear error appears.
- Do not add a second change too early.
- Let a person review important claims.
- Keep the test easy to repeat.
- Write down the reason for the decision.
- Check the result again later.
- Share the result with the right person.
- Keep open points visible.
- 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.
Giving AI the right context: Provide only the information needed for the goal, rules and expected output.
AI should make one concrete task faster or clearer. The goal and the facts should be clear before the first prompt.
Mark points with legal, financial, technical or reputational impact and add controls there.
Use one real case for Giving AI the right context. Record which rule you tested and whether the result meets the goal.