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Production UXux-052P2

Skeleton screens mask LLM latency.

Streaming content into skeleton…Streaming content into skeleton placeholders reduces bounce rates by 35% compared to spinner-based load states for AI chat interfaces.

Context & Methodology

Without skeleton screens, users see a blank interface during LLM inference and assume the app is frozen or broken.

Applicable Use Cases

chat

Applies To

openaianthropicgoogle

Primary Impact

ux

Confidence Level

Medium

Platform Status

Built

Implementation Effort

low

Recommendation

follow

Execution Priority

P2

Put This Evidence to Work

Use the STCO framework to implement findings like this in structured, testable prompts.

Setting max_tokens to task-appropriate limits (e.g., 200 for classification, 1000 for summaries) prevents 99.5% of runaw.OpenAI, 'API Reference: max_tokens parameter' docu…