# Models, context, and incorrect answers

Taiga Learning · Worksheet
https://taiga.training/en/lessons/models-context/

Use fictional or approved information. Do not put secrets in this worksheet.

## Learning objectives
- Separate model capability from access to current facts.
- Recognize when a missing constraint changes an otherwise plausible answer.
- Ask for evidence you can inspect.

## Exercise
Select a small function that you understand. Use code without sensitive information.
1. Ask an approved AI tool to explain the function.
2. Supply the caller and one failed test.
3. Ask the tool to revise its explanation.
4. Record the changed claim and the evidence that changed it.
5. Record any uncertainty that remains.

## Your response
- Scenario and scope:
- Assumptions and open questions:
- Proposed answer or decision, with reasons:

## Verify your response
| Claim or criterion | Evidence or test | Result or gap | Owner |
| --- | --- | --- | --- |
| | | | |
| | | | |
| | | | |

## Next action
- Action, owner, and date:
- When will you review this response?

## Principle to retain
Useful output needs capability and the correct task information. A clear explanation does not establish that the model checked its assumptions.

## Sources
- [NIST: Generative AI Profile, AI 600-1](https://doi.org/10.6028/NIST.AI.600-1)

This worksheet supports learning. Completing it does not itself authorize a production change.