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title: AI Tools in Product Design: What Actually Works vs. Hype
description: A product designer shares a candid, experience-based take on which AI tools actually deliver value in daily design work versus what's overhyped. Claude and...
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# AI Tools in Product Design: What Actually Works vs. Hype

**[Medium](https://daily.dev/sources/medium_js)** · 9 min read · 0 upvotes · 0 comments

## Summary

A product designer shares a candid, experience-based take on which AI tools actually deliver value in daily design work versus what's overhyped. Claude and ChatGPT are used for copywriting and placeholder data only; Figma Make helps explore early variations but fails at scale; Gemini handles image asset generation. A key observation: AI-generated designs tend to look identical because models learn from averaged patterns, creating a floor rather than a ceiling. A personal anecdote about ChatGPT derailing a midnight deadline illustrates AI's inability to understand implicit context the way experienced colleagues do. The post distinguishes between people who use AI as a full replacement (leading to generic, unscalable products) versus those who use it to augment expert work. The core advice: build strong UX fundamentals first so you can critically evaluate AI output rather than blindly accept it.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/@jashandhingra/ai-tools-in-product-design-what-actually-works-vs-hype-21bf6c60d1d2>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#ux](https://daily.dev/tags/ux), [#chatgpt](https://daily.dev/tags/chatgpt), [#figma](https://daily.dev/tags/figma)

[View this post on daily.dev](https://daily.dev/posts/ai-tools-in-product-design-what-actually-works-vs-hype-fxwpcqbeg)

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