> ## Content Index
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> Use this file to discover other available public pages before exploring further.

# Why Your AI Agent Gives the Wrong Answers
- URL: https://blog.jestor.com/why-ai-agent-gives-wrong-answers/
- Published: 2026-09-17T22:32:15.000Z
- Updated: 2026-09-17T22:32:15.000Z
- Author: Bruno Bannach

Diagnosing **why an AI agent gives wrong answers** usually comes down to what it was given to work with. An agent answering from general knowledge instead of your documentation will be confident and wrong.

## The four common causes

Each has a different fix, which is why identifying the cause matters.

- **No knowledge base** — the agent answers from general knowledge
- **Outdated documentation** — the source is right but the content is stale
- **Instructions too vague** — the prompt does not define its role clearly
- **Scope too broad** — it is being asked things it was never given material for

## What to check

| Check                        | What it reveals                                 |
| ---------------------------- | ----------------------------------------------- |
| **Knowledge base attached?** | Whether it has your material at all             |
| **Documentation current?**   | Whether the source reflects today's policy      |
| **Prompt specific?**         | Whether its role and tone are defined           |
| **Field permissions**        | Whether it is changing things it should not     |
| **Model recency**            | Whether you evaluated it before models improved |

## How to fix it in Jestor

1. Attach your documentation to the agent in **Jestor** as its knowledge base.
2. Update the documents when the policy changes — the answers follow.
3. Write a specific prompt defining the agent's role and tone.
4. Select exactly which fields it may edit; anything unselected stays protected.
5. Add a confirmation checkbox on critical processes so a person approves before it acts.

## Why choose Jestor for reliable agents?

**Jestor** makes the knowledge base a set of attached documents rather than a training process, which means correcting a wrong answer is editing a document rather than retraining anything.

Models are updated periodically per function, so an agent evaluated months ago is materially different today — retesting is usually worth the time.

## Frequently Asked Questions

### Why does the agent answer from general knowledge?

Because no knowledge base is attached. See [jestor.com](https://jestor.com/?ref=blog.jestor.com).

### How do I correct a wrong answer?

By updating the source document.

### How do I stop it changing the wrong fields?

Select only the fields it may edit.

## Video Tutorial: Step by Step

Check out other practical tutorials on the Jestor YouTube channel.

## Get to know Jestor

With **Jestor**, you can automate workflows, connect teams, and build internal systems your way — all without code and powered by **AI**. Discover Jestor at [jestor.com](https://jestor.com/?ref=blog.jestor.com) and see how to take your company's operations to a new level of efficiency and control.