A designer’s biggest pain? The portfolio.
Not because we don’t have one – but because it never feels good enough. Last year’s project looks dated. The layout isn’t quite right. We keep promising ourselves we’ll update it when we have more time, more energy, more motivation. But the reality of everyday work rarely allows it.
During the “AI Tools for UX Design” training, I discovered something that could finally change that. Tools that genuinely support our process. Not to replace us – but to work with us, and most importantly: to save our time.
What does AI in UX really mean?
In simple terms: AI in UX means intelligent support throughout the design process. In practice, it allows for:
- behavioral data analysis,
- automation of repetitive tasks,
- predictive suggestions based on real interaction,
- personalized interfaces tailored to users' needs.
It doesn’t replace the designer – but when used properly, it becomes the most valuable design assistant you’ll ever have.
How is AI actually changing the way we work?
- Faster prototyping – layouts, copy, and wireframes in seconds.
- Smarter design decisions – based on real user data and predictions.
- Deeper personalization – adaptive and dynamic interfaces.
- New interaction types – voice UIs, chatbots, gesture and emotion recognition.
6 AI Tools That Actually Make a Difference
1. Uizard.io
Turn a hand-drawn sketch into a full UI in minutes. Describe the app idea with a simple prompt and let the tool generate a working prototype.
Bonus: collaborative features and an AI-powered styling tool (Themes AI) for consistent visuals.
2. Creatie.ai
An AI-powered platform for workshops, prototyping, and UI/UX styling. It keeps your work clean, fast, and cohesive – especially in team environments.
3. Figma with AI features
Figma has entered the AI arena with:
- Generate UI from text – build a layout from a prompt,
- Auto-fill content – buttons, titles, and labels are filled automatically,
- Auto-rename layers – layer logic is instantly cleaned up,
- Quick wireframes – editable skeletons at your fingertips,
- Style suggestions – typography, color, and layout hints.
Less clicking. More thinking.
4. Hemingway Editor
The go-to tool for simplifying UX copy. It helps you:
- assess readability levels,
- highlight complex phrasing,
- rewrite AI-generated copy for clarity,
- fine-tune microcopy.
A must-have for UX writers and anyone crafting clean interface text.
5. Attention Insight
This tool simulates eye-tracking and visual attention analysis without running live user tests.
What it does:
- predicts where users will look in the first 3–5 seconds,
- generates visual heatmaps,
- scores the visibility of CTA buttons, headlines, and images,
- integrates with Figma and Adobe XD.
6. ChatGPT
A daily assistant that supports your UX process in many ways:
- writing and refining UX content,
- analyzing user feedback and research data,
- generating user personas and stories,
- brainstorming layout ideas and component logic,
- crafting prompts for other tools,
- learning and upskilling.
I use it every day. And I’m not going back.
Personal reflection – finally, I can update my portfolio
What used to be a long, painful process now becomes manageable. These tools allow me to finally update my portfolio with new projects – without losing weeks of time or energy on every single case study.
I no longer need to build mockups from scratch or write copy in a vacuum. Instead, I can use AI as my co-designer and focus on the parts that truly matter – the concept, the logic, the story behind the design.
Final thoughts: AI doesn’t take your job. It gives you back your time.
When used right, AI tools:
- speed up your workflow,
- improve your design quality,
- reduce cognitive load,
- help you focus on what actually creates value.
It’s not about replacing the human designer – it’s about clearing the path so we can design with more clarity, creativity, and purpose.
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