#productivity

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

What Google and Reddit's bad days have in common

AI search is underperforming for Google, and it's killing Reddit's traffic. What now?

Platformer · EN

Dropbox CTO Ali Dasdan on moving from AI adoption to transformation

Meaningful AI gains depend on rethinking workflows, measuring real outcomes, and keeping human judgment at the center of how work gets done.

Dropbox Tech · EN

Predicting AI job exposure

Many people would like to analyse which jobs, companies and industries are most exposed to AI, and assign scores, build charts, and map that against the progress of LLMs. I think this is mostly impossible: you don’t know how the jobs will change, you don’t know what else will change around this, and you can’t measure work like that anyway.

Benedict Evans · EN

AI, tools and transformation

It’s very tempting to imagine that AI turns everyone into a tool-builder - now everyone can just ask the model to make the software they need, and apps as we know them are dead. I think that misunderstands how most people think and where software actually comes from, and more importantly, it isn’t a path to change how companies actually work.

Benedict Evans · EN