Mock Text in Prototypes
Better Mock Text in Prototypes
Using mock text in prototypes means working with text that tells you nothing about how real content will look. Claude Ipsum generates AI-powered simulated text for design evaluation in prototypes — contextual copy that actually tests your interactive prototypes and user flows.
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The Problem With Mock Text in Prototypes
Mock Text is everywhere in prototypes. It's the default — fill text layers with Latin gibberish and move on. But this approach hides critical problems in your interactive prototypes and user flows.
Real content has variable lengths, specific vocabulary, and tone. Generic mock text simulates none of this.How AI Improves Mock Text in Prototypes
Content That Matches Your Industry
Working on healthcare interactive prototypes and user flows? Get medical terminology. E-commerce? Product descriptions. SaaS? Dashboard metrics and feature copy. The mock text adapts to your project.
Realistic Length Variation
Real headlines, descriptions, and labels vary in length. AI-generated mock text reflects this variation, so your interactive prototypes and user flows get tested against actual content patterns.
Appropriate Tone
Generic mock text has no tone. AI-generated text matches the voice your interactive prototypes and user flows need — formal, casual, technical, or empathetic.
Better Mock Text in Prototypes With Claude Ipsum
Claude Ipsum generates AI-powered simulated text for design evaluation for interactive prototypes and user flows. Replace generic Latin text with contextual copy that reveals layout issues, impresses stakeholders, and prepares your designs for real content.