Tarak Parekh

The Approval Interface 🔥 There's a new interaction pattern emerging in software, and I don't think we've named it yet. It started with Pinterest. When guided search launched, it felt like a small UX trick. You'd type one word, e.g. "living room", and instead of a results page, you'd see suggested refinements. "Cozy." "Minimalist." "Scandinavian." You'd click one, new suggestions appeared, you'd click again. Within a few steps you'd arrived somewhere specific and beautiful without ever typing a second word. One input and everything else was just clicking "next." I'm watching the same pattern evolve into something much more powerful at the moment. At Lovable, I see it happen every day. A user types a single prompt, something gets built, and then a suggestion appears for what to do next. Most users don't ignore it. They click, the AI proposes a next step, the user approves, and this loops. The whole product gets built almost entirely through a sequence of approvals. It's not unique to Lovable either. Look at Cursor, ChatGPT, Notion AI. The interaction loop keeps compressing. The user's job is less about constructing inputs and more about evaluating outputs. The interface runs slightly ahead of you, and you follow or redirect. Instead of initiating, we're moving towards approving and I find this super fascinating for a few reasons: 1/ It radically lowers the activation energy to build. Recognition has always been easier than recall. You approve instead of innovate. This is why non-technical people are building complex products these days. Not because AI can code, but because the interface no longer requires them to know what to ask for next. The system does that. They just say yes, and that kinda changes everything. 2/ It makes judgment the core skill. The valuable thing you bring is discernment. Knowing which suggestion is right. Feeling when the AI is heading somewhere subtly wrong. We call it "taste". This is exactly the kind of human capacity that gets more valuable as the interface gets smarter. 3/ We're in the early days of designing for this pattern. Most interfaces still treat suggestions as a secondary feature. But if approving is becoming the primary interaction, the suggestion layer deserves to be the primary design challenge. 4/ Pinterest built a narrowing mechanism. What AI interfaces are building now is a continuation mechanism. The interface doesn't just help you find what you want but helps you build it, one approval at a time. Looking back, we've spent decades optimizing interfaces for execution. The next decade will be spent optimizing them for anticipation. And the humans on the other side won't be operators anymore. I am pretty sure we'll call them editors. Did a larger deep dive on this on my substack - designplusai(dot)com Also thanks to Andreas Pihlström! Our coffee chat a few weeks ago inspired me to write about this.