Start with one real case for AI for research. Record the start and the goal.
AI should help with one clear task. A person checks key facts.
X25GO KNOWLEDGE · ChatGPT and AI for everyday SME work
AI for research: Common mistakes to avoid
This guide covers AI for research. Use one real case and keep the next step clear.
What matters in practice
Key rule: Keep sources, dates and uncertainty visible and verify claims against reliable primary sources.
Look for clear mistakes first. Then change one point only.
A reliable way to work
Set one question before the test. Decide what result should count.
Name one owner. Record the current state.
Change one point only. Then check the result.
If money, customers or public claims are involved, add a human review.
Check the result again later. Keep only what helps the goal.
Set the goal
- Keep the starting point visible.
- Use facts from the real case.
- Set one clear review point.
- Start with what matters now.
Check the starting point
- Ask when one fact is unclear.
- Separate facts from assumptions.
- Keep the reason for the test visible.
- Check the key facts first.
Change one point
- Return to the start when the result is unclear.
- Change one point only.
- Run a short test.
- Compare the result with the start.
Secure the result
- Record the final state.
- Name the next step.
- Set a date for the next review.
- Keep one owner for the follow-up.
Practical checklist
- 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.
Common mistakes
- Starting without a clear goal.
- Changing several points at once.
- Using a result without a final check.
Concrete example
Example: An SME tests AI for research with one real case. The team records the start, changes one point and checks the result. Then it plans the next step.
Related guides
At a glance
Four relevant points to understand and check on this page.
What this subject covers
AI for research: Keep sources, dates and uncertainty visible and verify claims against reliable primary sources.
The rule for this area
AI should make one concrete task faster or clearer. The goal and the facts should be clear before the first prompt.
What this perspective checks
Look first for mistakes that directly reduce effectiveness, data quality or trust.
Check it in practice
Use one real case for AI for research. Record which rule you tested and whether the result meets the goal.