Arpy Dragffy Guerrero
speaker
627 appearances
7 recordings
1 series
first heard May 2026
last heard 6 Aug
Arpy Dragffy Guerrero’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 7 in all, peaking in Jun 2026 with 3.
Appearances
Welcome to the Product Impact Podcast.
There is one agency that has become most synonymous with AI-native product design.
They've worked with Windsurf, Midjourney, Suno, The Atlantic, and Uber.
Today's guest is Miles Palmer, Design Director at that agency, Metalab.
In this episode, you'll learn what separates Metalab's AI-native design process from how most teams are building right now, why feature parity between AI products has become fast and cheap, and what that means for where the real advantage now sits.
We talk about how MetaLab moves from first meeting to a tangible prototype in a matter of weeks and why that speed actually makes it work better, not worse.
And where design fits into products that are becoming more agentic, proactive, and less dependent on a chat box.
As much as the rise of AI products has been a technical pursuit, we are increasingly seeing that the products that actually break through are doing it by redefining the design of the experience.
So we're watching this play out right now in the battle between Anthropic and OpenAI, their digital products, CloudCode and Codex, and also OpenAI's move into physical hardware are all fighting to win on intelligence and design at the same time.
So intelligence alone stopped being the differentiator once every major lab reached comparable capabilities.
These distinguishing experiments are needed because AI hasn't actually cracked most of the widely used consumer use cases people actually rely on every day.
We've covered this in recent articles at productimpactpod.com.
The technology just hasn't had its iPhone moment yet, that leap that made a normal person's daily life measurably better rather than just technically possible.
So Arpi actually found the same gap in his research.
He recently studied how 16 to 18 year olds actually use AI for a digital innovation product.
And the numbers are worth sitting with.
A third of them don't use AI at all.
They don't trust it.
Another third won't use AI for anything where accuracy actually matters.
And if you want to learn about that research or run something similar with your own target audience to spot product market fit issues before they cost you, reach out to Arpi directly.
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