Lenny's Podcast · September 25, 2026

Katie Dill on Design Quality in the AI Building Boom: Four Rules Against Zombie UI

Katie Dill, head of design at Stripe, says the quality filter now has to run after the build, where saying no is hardest, so someone must own the editor role. She gave the talk on stage, and Lenny's Podcast published it on 25 September 2026. Her frame is the post-war building boom, which copied modernism without its intent and left zombie buildings everywhere.

Speaker
Katie Dill
Where
Lenny's Podcast
Published
Length
22 min

Katie Dill: Head of Design at Stripe.

Recording: How to scale intent, quality, and artistry with Al | Katie Dill (Stripe)

Key points

  1. 1

    Pick a point of view before the model picks one

    Models return the most probable answer: what already worked, or what is in style. Dill's example is a Korean barbecue site that reads like a software company. Her first rule is to decide who you are for your users and what they care about. That becomes your standard. When a team and its agents all build, ownership blurs and the call drifts to the model.

    “you have to have a point of view. If you don't, AI will give it for you.”
    Katie Dill, Lenny's Podcast, 05:44
  2. 2

    Same bar for AI-made work

    In a Stripe design review of an ad, a partner asked what the quality bar is for work made with AI. Dill's answer: users only care whether it is good. The review ended with 17 fixes, and the team now uses "Pepsi bubbling" as a verb for that level of care. She aims one level deeper than the customer can see, and she says perfection is not the goal.

    “It doesn't matter to the users how it was made. It matters to them if it's good or not.”
    Katie Dill, Lenny's Podcast, 07:28
  3. 3

    Design the system, and make it opinionated

    Screens now ship with no designer in the room, so the design system has to make the calls a designer used to make. Stripe first put an MCP server over its design docs. Three people typed the same prompt and got three different results. Stripe moved to a command-line tool built on the design system that serves the right doc at the right step and ships whole flows. Her model is Gutenberg's 290 characters, cut so machine type could feel handmade.

    “the old system scaled consistency, but the new system needs to scale intent.”
    Katie Dill, Lenny's Podcast, 10:50
  4. 4

    Refuse to confuse done with good

    Teams used to have 20 ideas and staff one, so pruning happened before the build. Now a team can build all 20 in a week, and the filter lands after. Dill wants a named editor who uses the work as a customer would and pushes half-formed work to a finish. Her team's opening animation for the event took 56 rounds with AI before it looked right.

    “the filtering that used to be throughout the process now needs to happen post build when it is a lot harder to say no”
    Katie Dill, Lenny's Podcast, 13:06
  5. 5

    Protect the strange

    Dill calls AI the greatest creative catalyst we have had. She says chat windows, charts and command lines are far from the best interfaces possible. When everyone can build, standing out gets harder. So she wants prompts fed with your own source material, and rival agents to critique the output. She asks team leads to give people room to explore.

    “Protect the strange. AI lowers the cost to create. Let's spend some of that savings on making something truly special.”
    Katie Dill, Lenny's Podcast, 19:50

How it compares

How this recording lines up with what Katie said before and with other operators Gavel cites.

Builds on

In her earlier Lenny's Podcast interview, Dill defined design as intent applied to who the thing is for. This talk carries that into AI tools. Without a stated point of view, the model fills the gap with the likeliest answer. So the intent now has to be written into the system.

Katie Dill: design is intentionality applied to who the thing is for

Builds on

Dill has long asked designers for the courage to say "almost but no." Here she moves that call. With AI, the no comes after the build, when the work already looks finished. So she gives it an owner: an editor who reviews the product end to end.

Katie Dill: have the courage to say 'almost but no'

Agrees with

Dylan Field's Minimally Awesome Product keeps a quality bar at speed. He cuts features before quality and warns that sweating every detail can mean never shipping. Dill lands in the same place: go one level deeper than the customer sees, and stop short of perfection.

Dylan Field's Minimally Awesome Product

Agrees with

Rory Sutherland says optimising everything drags a brand toward the market average, so keep the one oddity the optimiser wants to delete. Dill gives the same advice for AI-built products. There, the model's pull toward the likeliest answer does the averaging.

Rory Sutherland's The Right Amount of Weird

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