(1)

generative

ui

This page is currently a work in progress and is undergoing active development.

While it is being completed, we recommend to take the opportunity to deepen your understanding

of the other paradigms so you are fully prepared to integrate the material

once this section is finalized.

The paradigm spans from simple chatbots
to sophisticated assistants like GPT, Claude, or Alexa, where the boundary between a “tool”
and a “partner” blurs /
this is what makes it a foundational piece of manyagentic
experiences as well.

The paradigm spans from simple chatbots
to sophisticated assistants like GPT, Claude, or Alexa, where the boundary between a “tool”
and a “partner” blurs /
this is what makes it a foundational piece of manyagentic
experiences as well.

Natural language becomes the interface, through back-and-forth between people and machines.
Users interact with AI through chat, voice, or multimodal dialogue, engaging in multi-turn conversations where context and memory matter.

Conversational UIs lower the barrier to entry /people can simply ask for what they need. But designing them requires solving
for ambiguity, grounding, tone, and trust.

Conversational UIs lower the barrier to entry /people can simply ask for what they need. But designing them requires solving
for ambiguity, grounding, tone, and trust.

Natural language becomes the interface, through back-and-forth between people and machines.
Users interact with AI through chat, voice, or multimodal dialogue, engaging in multi-turn conversations where context and memory matter.

Conversational UIs lower the barrier to entry /people can simply ask for what they need. But designing them requires solving
for ambiguity, grounding, tone, and trust.

The paradigm spans from simple chatbots
to sophisticated assistants like GPT, Claude, or Alexa, where the boundary between a “tool”
and a “partner” blurs /
this is what makes it a foundational piece of manyagentic
experiences as well.

The paradigm spans from simple chatbots
to sophisticated assistants like GPT, Claude, or Alexa, where the boundary between a “tool”
and a “partner” blurs /
this is what makes it a foundational piece of manyagentic
experiences as well.

Natural language becomes the interface, through back-and-forth between people and machines.
Users interact with AI through chat, voice, or multimodal dialogue, engaging in multi-turn conversations where context and memory matter.

Conversational UIs lower the barrier to entry /people can simply ask for what they need. But designing them requires solving
for ambiguity, grounding, tone, and trust.

Conversational UIs lower the barrier to entry /people can simply ask for what they need. But designing them requires solving
for ambiguity, grounding, tone, and trust.

Natural language becomes the interface, through back-and-forth between people and machines.
Users interact with AI through chat, voice, or multimodal dialogue, engaging in multi-turn conversations where context and memory matter.

Conversational UIs lower the barrier to entry /people can simply ask for what they need. But designing them requires solving
for ambiguity, grounding, tone, and trust.

Ioana Teleanu is a patent-holding ai & product designer, founder, speaker, curator & creator.

she is using AI as design material to shape the future of digital products and documenting it in public.

© 2025 ai design os

Ioana Teleanu is a patent-holding ai & product designer, founder, speaker, curator & creator.

she is using AI as design material to shape the future of digital products and documenting it in public.

© 2025 ai design os

Ioana Teleanu is a patent-holding ai & product designer, founder, speaker, curator & creator.

she is using AI as design material to shape the future of digital products and documenting it in public.

© 2025 ai design os

Ioana Teleanu is a patent-holding ai & product designer, founder, speaker, curator & creator.

she is using AI as design material to shape the future of digital products and documenting it in public.

© 2025 ai design os