
Dive Club 🤿 Maggie Appleton - Becoming an AI-native designer
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Jun 12, 2024 Experienced designer Maggie Appleton talks about designing for AI products and LLMs, challenges of interface with LLMs, technical literacy improvement strategies, AI-native tools, redefining designer roles with AI advancements, cognitive vs generative AI focus, and more
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Maggie's Role at Elicit
- Maggie Appleton joined Elicit as the first designer after using the product as a researcher.
- Elicit uses language models to extract data from research papers, helping researchers conduct systematic literature reviews faster.
Designing for LLMs
- Designing for AI requires deep understanding of language models (LLMs) and their limitations.
- Focus on user workflows and how LLMs can improve specific tasks, prioritizing reliability and accuracy.
Designing in Limbo
- The rapid advancement of LLMs makes it hard to design for the future, creating a "limbo" state.
- Designers must balance present limitations with future possibilities, like AI agents dynamically generating UIs.

