AIUX

Google Nano Banana is the codename for Gemini 2.5 Flash Image, the latest image generation and editing model from Google. It represents a…

A practical playbook on how AI will reshape UX research.

Exploring contextual prompt patterns that capture user intent as it is typed

With more teams moving faster than ever, the real differentiator is craft—the curiosity, intuition, taste, and intention behind every detail.

How to future-proof your livelihood when instability is the new normal.

Photo by Kelly Sikkema on Unsplash

Tips from months of experimentation & AI process transformation: how to embrace “janky” prototypes, AI handoffs, and smart tool selection…

Thoughts on process, problems, and possibilities.

How UX can work with AI to create a more fulfilling future.

Stop forcing chat. guide the prompt.

As the proliferation of AI-powered chat interfaces in software continues, people increasingly take one of two sides. Chat is the future of all UI or chat is a t...

A quick start guide to more thoughtful, responsible, and intelligent experiences

Multi-agent AI is reshaping user experience. Now, design must balance speed, transparency and trust to turn smart tools into collaborative teammates.

AI tools are improving fast, but it’s still not clear how they fit into a real product design workflow. Nikita Samutin walks through four core stages — from analytics and ideation to prototyping and visual design — to show where AI fits and where it doesn’t, illustrated with real-world examples.

AI x Design, Strategy & implementation, Human-centered AI expert

As a senior designer, AI is now a big part of how I get work done. I don’t just mean the usual stuff like using ChatGPT to sharpen my…

Prompting is more than giving AI some instructions. You could think of it as a design act, part creative brief and part conversation design. This second article on AI augmenting design work introduces a designerly approach to prompting: one that blends creative briefing, interaction design, and structural clarity.

Some thoughts leaders claim that AI will cause a resurgence in UX jobs and work. But will it? We hope this is true; what’s the evidence?

Tips for using AI tools to explore design ideas in high fidelity

Workplace Intelligence and GoTo have published a report exploring how AI can facilitate flexible and remote working.

Last Tuesday, I watched a product manager at a mid-size fintech startup do something that would have been impossible six months ago. In…

From Black Box to Trusted Partner: A UX guide to building confidence in GenAI.

Forget “prompt hacks.” Designers have the skills to turn AI from a gimmick into a powerful, human-centred tool if we take the lead.

A designer's guide to LLM integration: moving beyond prompts to create better AI experiences through understanding capabilities & constraints

If you are new to using AI in design or curious about integrating AI into your UX process without losing your human touch, this article offers a grounded, day-by-day look at introducing AI into your design workflow.

Prompting isn’t just about writing better instructions, but about designing better thinking. Ilia and Marina explore how advanced prompting can empower different product & design use cases, speeding up your workflow and improving results, from research and brainstorming to testing and beyond. Let’s dive in.

AI is rapidly transforming the world of product design — not just by speeding up workflows, but by changing who gets to build. This article explores how tools like ChatGPT and artifacts are helping designers move from static mockups to fully functional prototypes, often without writing a single line of code. As the line between designer and developer begins to blur, we may be entering a new era where creativity is no longer limited by technical skill. What could this mean for the future of design, collaboration, and innovation?

The mysterious AI image generator is going viral.

OpenAI says the new AI bot can generate 'beautiful' websites and video games.

AI interface design evolution: from chat to gamification to brain chips. Analysing trust challenges and the future of human-AI interaction