Start with one real case for Tables and JSON with prompts. Record the start and the goal.
A useful prompt needs one goal. Add only the facts that matter.
X25GO KNOWLEDGE · Prompts and AI working methods
Tables and JSON with prompts: A concrete practical example
This guide covers Tables and JSON with prompts. Use one real case and keep the next step clear.
What matters in practice
Key rule: Define columns, data types and allowed values, then validate the output technically.
Use one real case. Record the start and goal.
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 Tables and JSON with prompts 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
Tables and JSON with prompts: Define columns, data types and allowed values, then validate the output technically.
The rule for this area
Good prompts make the goal, context, limits and output visible. Longer wording is not automatically better.
What this perspective checks
Use a real case with starting point, change and verifiable result instead of an abstract example.
Check it in practice
Use one real case for Tables and JSON with prompts. Record which rule you tested and whether the result meets the goal.