Dive Club 🤿 – Kris Puckett: Becoming an AI-Native Designer

Date: March 19, 2026
Host: Ridd
Guest: Kris Puckett (Design, Dropbox, Mercury, Stripe)

Episode Overview

This episode features Kris Puckett, a design leader at Stripe (formerly Dropbox and Mercury), as he shares his journey and philosophy as an “AI-native designer.” The conversation explores what it means to design and build software in an era where machine learning and large language models (LLMs) are fully integrated into the creative process. Kris and host Ridd discuss practical workflows, philosophical shifts, personal projects, and how designers can leverage permissionless creativity using AI tools like Claude Code, Perplexity, and OpenClaw.

Key Discussion Points & Insights

1. Defining an AI-Native Designer

• The show opens with the question: What does it actually look like for a designer to be AI-native, not just AI-aware?
• Kris highlights the shift from craft and quality to bringing more soul and humanity into design despite the rise of advanced technology.
  • Quote: “Soul is going to be one of those things that is, like...it’ll be the word of the year, like this year and next year is like, Soul.” (00:35, Kris)

2. The Long Journey to Building Software

• Kris details his 20-year journey — from his college days struggling to learn Mac development, to finally building an iOS app (“Epilogue,” a personal reading/information management tool) with modern AI assistance.
  • Once stymied by coding barriers, AI now lets him realize dreams he’d set aside.
  • Quote: “What ended up happening? This summer, I was using one of my favorite tools called Perplexity...I was creating spaces for each book that I was reading...” (01:29, Kris)
  • Struggled with traditional learning, but found AI tools broke down the barriers to coding and app development.

3. Shifts in the Creative Process with AI

• AI doesn’t just speed up execution—it actually reshapes how designers work and think.
• The phrase “I don’t know” becomes a superpower, both a catalyst for learning and a valid prompt to move forward with AI.
  • Quote: "I found just working with cloud code was mostly that I don’t need to have fleshed out plans. I don’t need to actually have, like, the perfect spec docs or PRD docs to get cloud code to start working..." (06:13, Kris)

4. Building Epilogue – The App Example

• Kris walks through building his reading app using AI tools:
  • Used Perplexity and Claude Code for research, UX, and engineering tasks.
  • Overcame technical hurdles (like various APIs, iOS features, metal shaders) by treating the AI as a co-conspirator.
  • Hands-off expertise: AI could implement features Kris didn’t know how to code, including graphics with shaders.
  • Quote: “My process was to, I don’t know how to do something. I don’t know becomes a superpower. Because I’m assuming I could work with cloud code to figure it out.” (10:18, Kris)

5. Permissionless Building & Internal Workflows

• The sense of “needing permission” to build and make is disappearing. AI unlocks both initiative and confidence:

  • At Stripe, Kris applies the same AI-native approaches to help level up his team, automate internal processes, and create custom workflows.

  • AI’s value extends far beyond prototyping apps—it can manage and automate content, organization, and analysis tasks at scale.

  • Quote: “...if I’m stuck on something, I don’t know, it doesn’t have to be a door that’s shut. It can be easily a handle that I just turn and like walk through to figure it out.” (14:28, Kris)

6. Tangible AI Workflows & Tools

• Cloud Code Skills: Repeatable instructions or routines you teach to LLMs, tailored to your workflow (e.g., specific design effects, automating project management).

  • These “skills” can be generated for any recurring task and can evolve over time.

  • Loops: Automated prompts for daily/recurring analysis (e.g., daily health checks, task reviews).

  • Roleplay Example: Ridd asks as a new design lead—Kris’s advice: Start by telling the AI, “I don’t know where to start,” and let it mirror back opportunities and possible optimizations for your unique workflow.

  • Quote: “The foundational pieces, ‘I don’t know’ is actually a great place to start...” (19:03, Kris)

7. Broadening the AI-Enabled Design Canvas

• AI is not only for code or UI—personal systems, health data integration, and life organization all benefit from permissionless, experimental AI building.
  • Kris built a local app to sync health data for his home assistant in two hours—an example of rapid problem-solving previously out of reach.
  • Quote: “In two hours yesterday, with cloud code, I built this entire app that does it...” (33:27, Kris)
• The conversation moves to OpenClaw—a local/ambient AI agent and Kris’ personal workflows for integrating AI into daily life.

8. AI as a Force Multiplier, not a Replacement for Attention or Craft

• Kris cautions about the “do more, more, more” mentality—AI should amplify focus, not just quantity.
  • Insists on having review/feedback loops to ensure outputs still feel personal, meaningful, and aligned with his voice.
  • Tools like Linear help keep AI-generated work accountable.
  • Quote: “...is it worth doing? And do you feel proud of the output itself?” (40:03, Kris)

9. AI-Native Skills in the Job Market

• Increasingly, hiring managers expect designers to be comfortable exploring, experimenting, and even failing with AI tools.

  • You don’t have to be a master developer or have shipped an app to demonstrate AI curiosity.

  • Just experimenting and showing process is often more valuable than traditional portfolio projects.

  • Quote: “If you’re not using these tools to differentiate yourself a little bit, like, you are going to get left behind and that sucks.” (46:02, Kris)

10. The Return of “Soul” and Personalization in a Tech-Driven World

• In a world of standardized, AI-generated portfolios and artifacts, designers should lean into building deeply personal, expressive web and product experiences.

  • Kris retrofits his own site with a custom WebGL ocean shader, which mimics the ambient conditions of his local time and weather.

  • Predicts “Soul” will become the era’s most valued design quality.

  • Quote: “Soul is going to be one of those things that is like, it’ll be the word of the year like this year and next year is like, soul.” (50:11, Kris)

  • “Are you in it, or does it look like everything else?” (50:48, Kris)

Notable Quotes & Moments (with Timestamps)

• “That blinking carrot is this invitation for you to just tell it. Like, I don’t know. I don’t have any idea how you work. Here’s how I work. Like, what can we do together?” (00:14, Kris)
• “I kind of convinced myself, like, I’m not good at doing this...But that dream had kind of always been there of like, oh, how cool would it be?” (01:29, Kris)
• “The minute that I was able to tell cloud code, like, I don’t know how to do this...It would walk through all those pieces. That is a huge, like, fuel in the tank for momentum.” (06:13, Kris)
• “Llm’s are going to hallucinate like crazy...So I’m constantly also rechecking its information.” (11:08, Kris)
• “Permissionless building, it literally can just say, start sharing...” (33:27, Kris)
• “Soul is going to be one of those things that is like, it’ll be the word of the year.” (50:11, Kris)
• “We’ve had quality, we’ve had craft. But I think what people are going to be desperate for is more that human side of things, right?” (50:23, Kris)

Segment Timestamps

• 00:00–01:16 – Defining AI-native design; personal history
• 01:29–06:13 – From coding-struggles to building with AI tools (Epilogue app story)
• 06:13–10:18 – Creative process shifts; AI as a co-designer; building UI, connecting APIs
• 10:18–14:28 – AI breakthroughs (metal shaders, ambient effects, “I don’t know” powered iteration)
• 14:28–18:29 – Bringing permissionless building, skills, and AI workflows to Stripe
• 18:29–22:35 – Tactics for team leads; repeatable workflows; skill-building advice
• 22:35–24:53 – Prompt-crafting, creative exploration, crazy eights with AI
• 24:53–30:05 – Deep dive on “skills,” “loops,” and making AI teachable/assistive
• 30:05–33:27 – AI as a personal life optimizer; building tools for family, health, and daily routines
• 33:27–40:03 – OpenClaw, personal assistants, reviewing AI’s work, keeping human “soul” in the loop
• 40:03–46:02 – AI-native skills in hiring; portfolios and future-proofing design careers
• 46:02–51:23 – Personalization, creativity, and the return of “soul” in the AI era
• 51:23–52:13 – Wrap up and closing thoughts

Conclusion: What it Means to be AI-Native Today

Kris’s story is a testament to design in a new age—where curiosity, permissionless experimentation, and the willingness to ask “I don’t know, help me?” become true accelerators for creativity and growth. Being “AI-native” is about more than technical proficiency; it’s about leveraging tools to amplify your unique point of view, automate what holds you back, and bring more “soul” to your work, regardless of medium.

For further references, practical resources, and bonus content on AI-native design, see Dive.club.