AI in Product Design: Beyond Doing the Same Things Faster

X postKatie Dill15 October 2026Talk

In a talk at Lenny's Summit, Katie Dill argues that AI should be used to raise the ceiling of design quality rather than just speeding up the production of existing work.

Key points

Using AI merely to build existing things faster misses the most valuable opportunities, according to Katie Dill.
Product teams should focus on raising the ceiling of quality instead of simply lifting the floor.
Highlighted strategies include maintaining a distinct point of view and encoding design standards.

Why it matters

As AI tools frequently drive teams towards generic efficiency gains, maintaining design opinion and encoding high standards become essential for differentiation.

Analysis

Dill highlights a critical pitfall in AI adoption: focusing strictly on speed. By urging teams to define strong viewpoints and encode their standards, she advocates for using AI to expand creative ambition rather than settling for automated mediocrity.

Original post

Katie Dill

@lil_dill · 15 October 2026

If we only use AI to make the things that we already make, just faster, then we're definitely missing out on the most interesting part. From my talk at @lennysan’s Summit, here are four ideas for raising the ceiling, not just the floor: - Have a point of view [5:38] - Encode

535 likes25 replies683 bookmarks200.8k views

View on X

Selected replies (5)

@samjulien @lil_dill @lennysan This was such a thoughtful and important talk in today’s era of slop. Thank you!
@akshayswaroop @lil_dill @lennysan @bot - Pull the 10 deepest immediate actionable ideas and translate into a skill which you use for any UI you build
@KinesisLabX @lil_dill @lennysan Encoding your standards is the hard part, because most teams have never written theirs down. They tend to live in the heads of two or three people who just know when something is off.
@matt_teeixeira @lil_dill @lennysan It's great to see companies using AI to increase quality. We're really missing that. Thank you Katie for your services 🫡
@paulh4224 @lil_dill @lennysan Thanks so much for sharing @lil_dill. It's the call to action design-led folks need in an AI-led world of noise, and "done vs good" and aiming for a digital Gothic over zombie UI will stay with me. Can't wait to learn more!

Mentioned links

Post by Katie Dill on Xx.com/lil_dill/status/2110769497422631234

Summary generated by AI (Gemini 3.8 Flash, 17 October 2026). It may contain errors – the original source is authoritative.

Similar in content, found by the AI search.

X post:Lenny Rachitsky16 Oct 2026
Stripe Head of Design Katie Dill on Preventing Zombie UIs with AI
Speaking at Lenny's Summit, Katie Dill, Head of Design at Stripe, addressed the risk of creating generic 'zombie UIs' with AI. She argued against merely using AI to build existing interfaces faster and presented four principles to elevate design standards and creativity.
6.2kbookmarks301.8kviews
AI & LLMs· Talk
X post:Lenny Rachitsky1 Sept 2026
Creative Design with AI: 8 Techniques to Escape Predictable Outputs
Lenny Rachitsky highlights insights from former Apple design and engineering lead Anshu Chhabra (@anshuc) on unlocking AI's creative potential in design. Because LLMs are next-token predictors, they naturally default to the average; eight practical techniques aim to overcome this limitation.
8.6kbookmarks904.1kviews
AI & LLMs· Opinion
X post:leo10 Sept 2026
Why AI Models Like GPT-6 Astra Still Struggle to Match Apple's Product Videos
Leo (@leomeethewoo) compares modern video generation models like GPT-6 Astra to Apple's product videos, breaking down the specific design principles that give Apple's productions their high-end aesthetic.
475bookmarks68.1kviews
AI & LLMs· Opinion
X post:Breeje Anadkat12 Sept 2026
Design Workflow: Creating Better App Interfaces with AI and Figma
Breeje Anadkat shares a five-step workflow for creating polished application interfaces and functional MVPs using Claude, ChatGPT, Figma, and Claude Code.
7kbookmarks207.5kviews
AI & LLMs· Tutorial
Video
Video:The Design Project13 Aug 2026
Comparing AI Design Patterns Across Major Design Systems
Diane from The Design Project reviews how IBM, AWS, Atlassian, and GitLab incorporate AI patterns into their public design systems, focusing on trigger buttons, generated content, chat interfaces, and documentation.
AI & LLMs· Discussion
X post:Mario Zechner29 Jul 2026
Pragmatic Leverage in the AI Software Factory
Mario Zechner highlights an analysis by Dex Horthy on achieving true leverage with AI in software engineering. Horthy argues that accelerating code generation alone yields minimal overall gains, as writing code historically represents only 25 to 50 percent of delivery time. Substantial acceleration occurs only when AI aids planning and alignment.
913bookmarks98.2kviews
AI & LLMs· Opinion