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: Basics explained clearly
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.
Set the goal first. Then use one real case.
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
- Use one real case.
- Record the current state.
- Name the person who owns the task.
- Keep the first test small.
Check the starting point
- Write down open points.
- Keep the source easy to find.
- Mark unclear data before the change.
- Check one risk at a time.
Change one point
- Let a person review important claims.
- Keep the test easy to repeat.
- Use the same measure as before.
- Record the result right away.
Secure the result
- Share the result with the right person.
- Keep open points visible.
- End the test when the goal is met.
- Use the result in the next decision.
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
Start with purpose, terms and limits. This makes clear what belongs to the topic and what does not.
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.