# Matching AI Modality To User Intent: Designing The Right Interface

DevFeed: [Matching AI Modality To User Intent: Designing The Right Interface](<https://devfeed.tech/articles/matching-ai-modality-to-user-intent-designing-the-right-interface-4308.md>)

Original publisher: [Read original article](<https://smashingmagazine.com/2026/07/matching-ai-modality-user-intent-designing-right-interface/>)

Author: hello@smashingmagazine.com (Victor Yocco)

Published: 2026-07-02T10:00:00Z

Content type: article

Language: en

Sources: [Articles on Smashing Magazine -- For Web Designers And Developers](<https://devfeed.tech/sources/articles-on-smashing-magazine-for-web-designers-and-developers.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [Language models](<https://devfeed.tech/topics/language-models.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [design](<https://devfeed.tech/tags/design.md>), [llms](<https://devfeed.tech/tags/llms.md>), [ux](<https://devfeed.tech/tags/ux.md>)

## AI overview

The article argues that AI interfaces should match users' immediate intent, context, and cognitive load rather than defaulting to chat. It introduces a Task Audit and an Input/Output Alignment Matrix to help teams choose appropriate interaction modalities.

## Source excerpt

We've fallen into conversational tunnel vision, defaulting every AI capability into a chat-based interface simply because LLMs are trained on dialogue data. But great UX is about matching modality to users' context, intent, and cognitive load, so the interface adapts to the user, not the other way around.