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When the AI Hallucinates

Occasionally, the AI may generate output that is incorrect, incomplete, or not grounded in your actual project state. This is referred to as hallucination. Hallucinations usually appear as:
  • Referencing files, APIs, or features that don’t exist
  • Claiming something was “fixed” when nothing changed
  • Repeating solutions that don’t resolve the issue
  • Providing confident but incorrect instructions
This is expected behavior in AI systems and does not indicate a broken project.

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How to Resolve Hallucinations

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1. Ground the Model With Facts

Provide real, concrete inputs:
  • Error logs
  • File contents
  • Build output
  • Exact error messages
Avoid vague prompts like “It’s broken, fix it.”
Instead use:
“Here is the full error output. Fix only what’s causing this error.”

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2. Constrain the Scope

Tell the AI exactly what it can and cannot change. Examples:
  • “Only modify the home screen component.”
  • “Do not add new libraries.”
  • “Do not change the navigation structure.”
Clear constraints reduce hallucination significantly.

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3. Force Verification

If the AI claims something is fixed, require confirmation. Use prompts like:
  • “Show me exactly what changed.”
  • “Which file was modified and why?”
  • “Quote the line that fixes the error.”
If it cannot point to a real change, assume the fix is invalid.

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4. Reset the Context

If hallucinations persist:
  • Start a new message with fresh context
  • Paste only the relevant files or logs
  • Restate the goal clearly
Long conversations increase the chance of drift. Sometimes starting fresh is the fastest path forward.

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5. Use Images for Clarity

If the issue is visual, attach a screenshot to your prompt:
“This button should be blue, but it’s showing as red. See the attached screenshot.”
Visual context helps the AI understand exactly what needs to change.

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When to Stop Iterating

Stop prompting the AI if:
  • It repeats the same fix multiple times
  • It references non-existent files
  • It contradicts itself across responses
At that point, consider:
  • Starting a new conversation
  • Simplifying your request
  • Breaking the problem into smaller pieces

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Best Practices to Avoid Loops

Copy the actual error message or log output into your prompt. Don’t paraphrase — the exact text matters.
Focus on one issue at a time. Multi-part prompts are more likely to cause confusion.
After the AI says something is fixed, test it. Don’t assume the fix worked until you see it in the preview.
The AI is a powerful tool, but it’s not infallible. Use your judgment to evaluate its suggestions.

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Key Principle

The AI is strongest when reacting to real inputs, not guessing missing context.
Hallucinations are a signal that the AI needs more constraints or better grounding, not that your app is broken. Provide clearer context and try again.

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Need more help?

Still have questions? Contact us at [email protected].