#product-design

Why Spending Money Feels Different When You Don’t See It Leave Your Hands

Cash, digital payments, and the surprising way technology shapes how we experience spending. It started with a post I came across about someone buying a watch worth ₹12,000. I found myself thinking about the purchase, so I brought it up with a friend. What began as an ordinary conversation about an expensive watch took an unexpected turn: my friend told me he had received a watch worth ₹30,000 as a gift. That made me think about something interesting. One person had spent ₹12,000 on a watch. Another had received a watch worth ₹30,000 without paying for it himself. The watches had monetary valu

Muzli · EN

Product design with AI: our job is about setting our standard for AI

TLDR: AI can do a lot of what designers used to do, and it’s easy to feel replaced. One analogy I heard encouraged me to think it’s less about losing our jobs and more about knowing our own standard of work well enough to teach it to AI. Even my mom talks about AI Everyone hears about AI, and everyone talks about AI. I walk down the street and hear people talking about it. Even my mom talks about AI. Her new hobby is sending me AI-generated memes, which is quite sweet, to be honest. This is an opinion I shared with my design team recently, about what all this means for us. Underneath the noise

Muzli · EN

This is how I work with AI as a Designer right now.

TLDR: This is what my actual day-to-day workflow with AI looks like right now, skill by skill: ideating an idea deeply before writing any code, turning it into tickets an agent can run, branching into a few prototypes before committing to one, then bringing in style and polish last. The way I used to work For a long time, my way of working with AI was just stacking prompts. I’d write one, wait, look at what came back, give a note. Then often remember a second thing I’d forgotten and have to write another prompt just for that. The context window kept getting longer, and I never knew how many pr

Muzli · EN

You’ve Designed the Story, But How Does It Unfold?

Why designers need to understand performance, critical paths and what happens before information reaches the screen. The experience we design is only what happens on stage. Behind it, a whole system of dependencies determines when the performance can begin. Back in 2014, I wrote an article about why we put CSS in the head of an HTML document . It explored the browser’s critical rendering path, and how something as seemingly simple as putting CSS directly into a page rather than loading an external stylesheet could affect how quickly that page appeared. At the time, I was working primarily in f

Muzli · EN

How Bad Bunny Turned the World’s Cheapest Chair Into a Pop Icon

A collage of Bad Bunny with the Monobloc chair by Francesco Maria Furno No one paid any attention to the Monobloc until Bad Bunny came along to dignify the most common chair in the world. A piece of white plastic that has filled our everyday spaces since the day it was born, with its bland, anodyne spirit. The Monobloc is the commercial product par excellence for resting our backsides. Cheap, easy to stack, transport, and replace, and pretty sturdy for the price it sells at. After the Puerto Rican artist’s Debí Tirar Más Fotos, it’s not only one of the best-selling objects but one of the most

Muzli · EN

The Next UX Problem: What If AI Does Exactly What We Asked, But Not What We Meant?

We wanted AI to save us time. But what happens when it starts making decisions on our behalf? Imagine this. You open an AI assistant and type: “Find me a good hotel for my weekend trip. Compare the prices, check the reviews, and book the best option.” A few minutes later, the AI comes back. It found three hotels, compared their prices, checked their ratings, selected one, and completed the booking. Everything happened without you opening another tab. Sounds wonderful, right? Now imagine discovering that the hotel is 20 kilometres away from the city centre. The AI selected it because it was che

Muzli · EN

Your design system was never about components

Google, Atlassian and Figma now ship a file for the reasons behind a design. Nothing makes the machine follow it. Continue reading on UX Collective »

UX Collective · EN

How to design transparent AI cost controls

A practical guide to choosing usage units, designing spending limits, and explaining AI costs before, during, and after the work. Every AI response has a price. People often discover it only when a limit hits or a bill arrives. A quick edit and a long-running agent can look almost identical in the interface. One finishes in seconds. The other might read hundreds of files, call external tools, and retry steps along the way. Yet both start with the same button. Meanwhile, AI products keep changing what they charge for: requests, credits, tasks, usage allowances. Showing more technical numbers wo

UX Collective · EN

Sparkle buttons, Autonomy by design, AI reckoning in UX, Figma with MCP

Weekly curated resources for designers — thinkers and makers. “Open any product you pay for and look at the top right corner. There is a sparkle. Behind it is a panel that slides in from the right, says “Ask anything”, and offers three suggestions you did not ask for. Close it and it comes back after the next update, sometimes with a new name.” Nobody asked for the sparkle button → By Jon Sabutis What AI interviews taught us about designing conversational AI → [Sponsored] Follow-ups that build on what you said. Less pressure to perform. Control over pacing. What participants, skeptics included

UX Collective · EN