For the last few years, AI product design has largely revolved around one thing: the chat interface. Prompt in, response out. But the next wave of AI products is shifting away from “chatbots” toward agentic interfaces — systems that can reason, take action, collaborate with tools, maintain context, and work toward goals over time. The … continue reading
For a long time, product design has been closely associated with visual polish. Spacing, typography, alignment, colour. The details that make something feel “finished.” Tools like Figma became central because they made it easy to refine those details and get to a high level of fidelity quickly. That still matters, but it’s no longer the … continue reading
There’s been a shift in how products get designed, especially in anything that involves AI. For a while, prompts were treated as a means to an end. You wrote something, tweaked it a bit, maybe added an example or two, and tried to get a better output. It felt closer to trial-and-error than design. Useful, … continue reading
Design tooling has fundamentally changed with the latest and greatest vibe-coding tools. It’s now faster than ever to get high quality, high fidelity prototypes up and running. This is a job advert for a product designer role at Ramp – a design-centric SaaS company in the finance space: Own product work end to end: Partner … continue reading
When companies talk about adopting AI, the conversation usually starts in a familiar place: identifying a workflow that could be improved. Customer support. Reporting. Compliance. Internal research. The instinct is to build—or buy—a tool that solves that specific problem. Something concrete, owned, and controlled. It fits neatly into how organisations already think about software: define … continue reading
At some point in every product’s life, a familiar tension emerges: do you keep polishing what you have, or admit that the whole thing needs a deeper rethink? It’s rarely a clean decision. Incremental improvements promise continuity and low risk, but only until they don’t. And starting over can feel liberating in theory, yet terrifying … continue reading
I’ve come across a few really good resources for UX Designers getting into or involved in designing for complex apps and AI-enabled software. Let me know of other great links and I will add them to the list. Number one on my list is the Google People + AI Guidebook (aka PAIR). This is a huge and … continue reading
How they work, why they matter, and what you should know before building one AI agents are quickly becoming one of the most talked-about developments in applied AI. But despite the buzz, many people are still unsure what an “agent” actually is or how it differs from a standard large language model (LLM) prompt. This … continue reading
Every now and then a new technology arrives that completely breaks the assumptions of the world around it. Not gently. Not politely. Not in a way that leaves existing workflows intact. It shows up like an unexpected guest who kicks the furniture out of the way and sits down wherever it likes. That’s what GenAI … continue reading
As AI agents become more autonomous and take on increasingly complex tasks, adaptive learning becomes a core requirement. Adaptive learning is the ability to update behaviour based on new information. While model fine-tuning used to be the dominant mechanism for adaptation, modern agent architectures allow for more flexible and lightweight options that work in real … continue reading