Fake Text in Prototypes
Better Fake Text in Prototypes
Using fake text in prototypes means working with text that tells you nothing about how real content will look. Claude Ipsum generates AI-powered non-final text used in the design process in prototypes — contextual copy that actually tests your interactive prototypes and user flows.
2 min read
The Problem With Fake Text in Prototypes
Fake 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 fake text simulates none of this.How AI Improves Fake 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 fake text adapts to your project.
Realistic Length Variation
Real headlines, descriptions, and labels vary in length. AI-generated fake text reflects this variation, so your interactive prototypes and user flows get tested against actual content patterns.
Appropriate Tone
Generic fake text has no tone. AI-generated text matches the voice your interactive prototypes and user flows need — formal, casual, technical, or empathetic.
Better Fake Text in Prototypes With Claude Ipsum
Claude Ipsum generates AI-powered non-final text used in the design process 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.