From Making to Meaning
Designing in the AI era.
Why does something work? Why does something not work? Which choices support users?
Most important lesson so far:
❌ Not:
I think this is nice.
✅ But:
Why is this a good solution?
The new kid on the block.
What do you think?
AI helps with making, designers judge and provide direction.
Designer as:
New role:
Not:
"I make everything manually"
But:
I steer the process
New role:
New role:
If AI makes a website...
UX remains UX
Interaction remains interaction
Motion remains motion
AI does not solve this automatically.
AI generates movement.
Designers give meaning.
Not:
"Make my design"
But:
"Think along"
User
↓
AI
↓
Antwoord
User
↓
AI
↓
Tools
↓
Resultaat
One open standard to connect AI assistants to your data and tools, instead of custom work per connection.
AI understands more context
AI is evolving too! From a "simple" LLM to a generative tool. Linking different AI tools provides endlessly more possibilities.
From: "AI → answer", to: "AI → understands design context"
Case:
Student Event Platform
Analyze problem
User Flows
Interface Concepts
Microinteractions
UX Critique
AI criticizes its own proposal
AI produces possibilities, not the only correct answer.
Choose a case
Input
↓
AI
↓
Designer
↓
AI
↓
Resultaat
Which tasks can be done by AI?
Which tasks must be done by humans?
Upload a wireframe
Let AI provide feedback
✅ Usable
⚠️ Questionable
❌ Wrong
Critical insight remains essential
AI increases the value of:
What did AI do better?
What did you do better?
If AI can generate everything... What makes you a designer then?
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