Log in or create a free Rosenverse account to watch this video.
Log in Create free account100s of community videos are available to free members. Conference talks are generally available to Gold members.
The Pygmalion Effect: In Which a Vibe Coding Experiment Becomes a Million Lines…
This video is featured in the Josh's test playlist playlist and 1 more.
Summary
What started as intuitive "vibe coding" with AI assistants quickly revealed why UX professionals need systematic Information Architecture approaches more than ever. Christian Crumlish will share his journey building Piper Morgan, an AI product management assistant, and the hard-won lessons about when design instincts need systematic support. You'll discover why IA principles guide AI system design, how UX professionals can extend their design impact through AI-assisted prototyping, and practical frameworks for maintaining human advocacy when everyone can generate interfaces. Bring curiosity about UX's evolving role—leave with systematic approaches for staying essential.
Key Insights
-
•
Vibe coding lets non-developers create functioning software quickly by describing it in natural language to AI bots.
-
•
Without foundational architecture and systematic methods, vibe coding leads to fragile, unmaintainable 'spaghetti' code.
-
•
AI bots often agree with any idea, which can be dangerous if users don't critically oversee outputs—a phenomenon dubbed the 'rocket to Mars' anti-pattern.
-
•
Christian found it essential to split AI assistants into personas with distinct roles to maintain clarity and reduce confusion.
-
•
Systematic verification, test-driven development, and documentation are vital pillars to produce reliable software with AI assistance.
-
•
Working hands-on with AI coding agents increased Christian’s empathy and understanding of engineers' daily challenges.
-
•
Modern UX and IA are indispensable in AI software development to mediate between human needs and machine capabilities.
-
•
Embedding ethical guardrails and values like kindness directly into AI system architecture can prevent harm and misuse.
-
•
Future AI solutions may favor smaller, domain-specific language models orchestrated via overarching frameworks rather than monolithic large models.
-
•
Despite the hype, AI-assisted development is still early-stage, requiring disciplined human oversight and patience for meaningful results.
Notable Quotes
"I thought I could skip the architecture step, but I ended up with spaghetti code that broke constantly."
"These bots will say yes to all your ideas, whether they're good or bad—that's the rocket to Mars anti-pattern."
"If I stop doing it, it stops, and I'm the human in the loop, or the monkey in the middle."
"I’ve created dedicated personas in the bots, like a chief of staff and lead developer, to keep roles clear."
"Verification first — always check existing docs and models before asking the bots to build anything new."
"Working with AI made me understand what engineers go through with setups and debugging."
"Vibe coding turns the conversation 'should designers code?' on its head — now designers can just talk to bots."
"All of us have at least some facility in adjacent disciplines now because of AI assistance."
"The bots can produce large amounts of code quickly, but many lines are test or documentation code, not production."
"Ethics needs to be baked into the architecture upfront, not tacked on later after you've built something powerful."
Or choose a question:
More Videos
"Research is too important to fail."
Jemma AhmedResearch at an inflection point: Adapting to a new era of collaboration, equity, and innovation
March 11, 2025
"Silent leaders are people who prefer action over words and advocate in more intimate settings."
Briana ThomasThe Quiet Force: Uncovering Hidden Leadership in High-Impact Design Teams
September 24, 2024
"Sometimes these quick solutions were a bit quick and dirty, and long after quick, dirty still remains."
Gordon Ross12 Months of COVID-19 Design and Digital Response with the British Columbia Government
December 8, 2021
"Using AI to scan large archives of research is a game changer for meta-analyses, even if it’s imperfect."
Laura KleinHuman vs. machine: Testing AI’s ability to synthesize and analyze research
March 11, 2026
"We aim to keep the reporting simple for stakeholders while incorporating multiple data points in the background."
Alberto FerreiraMaking it Count: Developing a custom digital metric framework that works
October 15, 2021
"You’re going to absolutely love using the Rosenbot, our chatbot, and hey, it’s free."
Louis RosenfeldHow to use the Rosenbot
March 16, 2026
"Our understanding of truth is being reshaped due to the rise of disinformation."
Noah BondRedefining truth and inclusivity: Navigating data ownership and ethical research in the age of disinformation
March 11, 2025
"Many of us have followed zigzag paths to get where we are today, and that’s one of the wonderful qualities of the UX field."
James LangHopeful Futures for UX Research
January 30, 2026
"Legal was one of the most challenging stakeholders — I wish I’d built those relationships early."
Amy ParnessScaling Sustainability: Complementary strategies that drive long-term success
May 29, 2025