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Iterative AI Feedback Loop

Reusability

A systematic approach to refining AI outputs through successive feedback rounds rather than trying to perfect the initial prompt

How It Works

Start with basic prompt, evaluate output, provide specific feedback for improvements, repeat until satisfactory

Components

1

Start with simple, clear initial prompt

2

Generate first output

3

Identify specific issues or improvements

4

Provide targeted feedback

5

Test model's ability to incorporate changes

6

Repeat until desired quality achieved

When to Use

When working with complex creative tasks that require refinement, especially visual content creation

When Not to Use

For simple one-shot requests or when the AI model doesn't handle feedback well

Anti-Patterns to Avoid

Over-engineering the initial promptGiving vague feedback like 'make it better'Not testing the model's feedback capabilities first

Example

Creating a sketch image, then asking to remove AI-looking elements like hands or notebooks, then further refining the style