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Case Studies
The Complexity Paradox of ChatGPT, AI and UX

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The Complexity Paradox of ChatGPT, AI and UX

11 mins
about ChatGPT
Open AI white logo
    Skills you'll build
    • Making complex tools feel simple to use

    • Helping users understand what AI can (and can’t) do

    • Fixing broken expectations before they cause confusion

    How do you teach people to use something that goes through step-change improvements every 6 months?

    Put it like this; there's a clue that ChatGPT isn't as intuitive as a traditional search engine.

    It's that companies are hiring for a skill known as "prompt engineering".

    In short: the change in complexity of AI is outpacing behavioural evolution—by a lot.

    It's harder to build predictable and transparent experiences when even literal computer scientists can't predict the outcome of a prompt, or explain it to someone on the train.

    This is a case study about ChatGPT. 

    But more so, it's about core principles of design that are being stretched and tested by AI.

    And I think it explains the strategy for Apple Intelligence.

    Profile photo. A circular headshot of a smiling young man with short tousled hair and round glasses, suitable as an author avatar or user profile picture. No interface elements are shown.

    Written by Peter Ramsey

    Consultant to 100+ companies

    Part of:
    Teardowns
    Published: 19/09/2024
    Last edited: 05/06/2025

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