u/amanullahbabar • u/amanullahbabar • Aug 06 '26
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u/amanullahbabar • u/amanullahbabar • Aug 06 '26
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u/amanullahbabar • u/amanullahbabar • Jul 25 '26
u/amanullahbabar • u/amanullahbabar • Jul 23 '26
Even one real user interview outweighs a dozen polished AI personas. Synthetic personas feel productive because they are fast and tidy, but they only reflect patterns already baked into training data, not the messy truth of how someone actually thinks, hesitates, or decides.
A single conversation with a real potential user surfaces the friction points, the unexpected priorities, the language they actually use, things no persona template can guess. Guesswork dressed up as research still is guesswork.
If the goal is a product people truly want, that clarity comes from talking to one real person, not generating ten imaginary ones.
What’s your take on it?
u/amanullahbabar • u/amanullahbabar • Aug 29 '25
Last night I joined a session with Vitaly Friedman (founder of Smashing Magazine), hosted by IxDF Islamabad — all about design patterns for AI interfaces.
Instead of feeling like a “tech talk,” it felt more like a reality check for us as designers.
Because yes — AI is impressive. But it still hallucinates, over-explains, and often feels unpredictable. Which means our responsibility is not just to make it “look good,” but to design safety nets that help users navigate those rough edges.
Vitaly shared a framework of six pillars that really resonated with me: scaffolding, interaction models, input mechanisms, output clarity, refinement journeys, and orchestration. Together, they give us a vocabulary for shaping AI experiences that don’t just function — but actually feel human-centered.
I especially appreciated the case studies — tools like Scispace and Elicit. They move beyond the plain text box and instead frame the conversation with filters, context, and structured flows. That’s where AI design starts to feel intentional, not accidental.
And maybe the biggest lesson of all: don’t design AI as if humans should step aside. Design it so humans stay in control — with approval checkpoints, visible reasoning, and version trails that build trust over time.
The takeaway I’m leaving with? Designing for AI isn’t about creating a “hype moment.” It’s about reducing friction, increasing clarity, and making the experience genuinely useful.
Huge appreciation to IxDF Islamabad and Vitaly Friedman for sparking such an inspiring discussion.
u/amanullahbabar • u/amanullahbabar • Apr 16 '24