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Performance & Efficiency

Progressive Enhancement

Provide immediate basic responses then progressively add detail and accuracy.

What is Progressive Enhancement?

Progressive Enhancement provides immediate basic responses then adds detail as processing continues. Instead of waiting for perfect answers, the system streams content in real-time. It's essential for conversational AI or search where perceived speed matters. Examples include ChatGPT streaming word-by-word, Google Search showing instant results then refining, or Perplexity displaying quick answers while gathering citations.

Problem

AI systems often require significant time to generate high-quality, detailed responses. Users are left waiting with no feedback, leading to frustration and uncertainty about whether the system is working.

Solution

Design AI systems that provide immediate basic responses and progressively enhance them with more detail, accuracy, or sophistication. Stream content as it's generated, allowing users to consume information without waiting for complete processing.

Real-World Examples

Implementation

AI Design Prompt

Guidelines & Considerations

Implementation Guidelines

1

Always provide an immediate, basic response before computing more sophisticated results

2

Stream content progressively so users can start consuming information without waiting

3

Make it clear when content is being enhanced versus when it's complete

4

Allow users to stop enhancement early if the basic response is sufficient

5

Prioritize the most valuable enhancements first based on user context and needs

6

Provide graceful degradation when enhanced results fail, ensuring basic response remains usable

Design Considerations

1

Risk of users acting on incomplete information if enhancement status isn't clear

2

Complexity of maintaining consistency between basic and enhanced responses

3

Computational overhead of generating multiple levels of detail or quality

4

Need to balance immediate feedback with resource usage for enhancements

5

Potential for user confusion if enhancements change the meaning of initial responses

6

Network and bandwidth costs of streaming progressive updates versus single complete response

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Related Patterns

Intelligent Caching
Confidence Visualization
Graceful Degradation
Previous PatternIntelligent CachingView All PatternsNext PatternPrivacy-First Design

About the author

Imran Mohammed is a product designer who studies how the best AI products are designed. He studies and documents AI/UX patterns from shipped products (36 and counting) and is building Gist.design, an AI design thinking partner. His weekly analysis reaches thousands of designers on Medium.

Portfolio·Gist.design·GitHub

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