


When design follows intent, structure is no longer needed.
Redefining the web page
paradigm from traditional
information architecture
to an intention layer
paradigm from traditional
information architecture
to an intention layer
Traditional model
of information architecture
has now become a barrier
In the era of artificial intelligence, nothing stays the same:
Navigation is replaced
by conversation
Platforms like ChatGPT are actively changing user habits, replacing traditional search engines and the need to navigate.
Interfaces now comprehend
instead of directing
Earlier interfaces guided users through information; now, they detect user intent and supply precise responses.
Asking questions takes the place
of manual structure exploration
Tasks that used to involve painstaking online searches and context analysis can now be done through queries.
System capabilities replace
the need for predefined paths
With today’s systems, users no longer need a pre-set path — the system intuitively leads them to the right answer.
Time needed to reach
information decreases
The ability of systems to interpret needs means that slow, tedious search and analysis processes give way to instant access to knowledge.
AIWEB 0.UI ™INTENTION LAYER
Intention layer AIWEB 0.UI™
- text field, voice, context
- author of the intent
- expressing needs in natural language
- single or multiple queries
- fluid, real-time output
- understanding, reasoning, adaptation
- are interpreted and corrected
- system
- wrong result
- designing capabilities
- complete AI + LLM technology stack
- Communication component
- Role of the user
- User effort
- Interaction method
- Structure
- System logic
- User mistakes
- Responsibility
- Error impact
- Design process
- Core
Information Architecture
- menus, buttons, content hierarchy
- system navigator
- search and exploration
- step-by-step sequence
- fixed and pre-planned
- rules, paths, states
- result in dead ends
- user
- no result
- designs the structure
- mental model of the user
Origin of the Problem
How the problem started
Information Overload
Information Overload
A complex, overloaded information layer can bury key insights, making them hard to identify and act upon.
- Poorly structured content
- Information in the wrong context
- Outdated content
- Excessive information
Effectiveness of Reach
Information Overload
Too much content makes searching harder and lowers the efficiency of obtaining key information.
- Hard to find the right information
- Information doesn’t match expectations
- Information scattered across sources
- Information incomplete
Information Overload
Wasting valuable time
Reduced efficiency in finding key information results in wasted time, user frustration, and attention drift.
- Loss of confidence
- Decreased engagement
- Confusion or miscommunication
- Time cost = monetary cost + emotional cost + opportunity cost
Are you ready
to experience revolutionary solutions?
Here’s our solution:
What if…
we dropped everything?
we dropped everything?
…and provide accurate, context-specific information, keeping
the audience focused on what interests them?
the audience focused on what interests them?

Click here!
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Use Cases
for AIWEB 0.UI ™
for AIWEB 0.UI ™
Landing Pages
Intelligent, one-page websites designed to highlight your idea or product.
Pop-ups
A pop-up overlay on your existing site with ‘smart page’ content.
Widget
A built-in section with smart content, integrated into one of the pages of your original website.
- product pages
- campaign landing pages
- configurators
- informational pages
- micro e-shops
- interactive tutorials
- quizzes and contests
- training modules
- community campaigns
- e-government services
- e-kiosks
and many more — only limited by our imagination.
✚ ⦚ See the DEMODemonstration Projects:
Test it out today ;)