New Products
AI-native UX
Fluentician: Crafting a delightful learning experience on top of fully AI‑generated content.
I designed a frontend system and content architecture for agent‑generated Czech lessons. It's built around academic research and made for high‑intent audience of “integrators” ‑ learners who study for family, work, and daily life.
Fluentician is a design exploration about how generated educational content can feel authored, trustworthy, and motivating at scale.
When AI can generate the building blocks for a language learning app, the role of UX design shifts from displaying content to shaping it — giving it structure, pacing, trust, and narrative.
The content pipeline was designed for scale, so AI could generate it systematically and with minimal need for human review.
The AI-generated content was multimodal, combining visuals, audio, and tightly scoped practice to reduce friction and keep attention on meaning.
AI interaction doesn’t have to be robotic or buried in sterile chat bubbles. I designed a language for an interface that breaks that convention. Creating a playful, expressive, but trustworthy learning experience.
Making AI content feel relatable
The learning experience was built to feel usable early, maintain motivation, and embed patterns through use rather than rules.
Designed trust
In AI products, trust does not come from its output alone, but from the way design gives it shape, clarity, and intention.
Bounded intelligence
The value of AI personalisation lies in knowing where to let it adapt, and where design must hold the line with structure and consistency.
The human touch
In consumer AI, the designing in the “human touch” only works when it supports the task, not when it tries to impersonate a human presence.