Skip to main content
Orielsy DiazUI Architecture • Applied AI
Projects archive
Phase 1 · WorkingCreator / Developer

Adaptive Enterprise UI Lab

An evolving enterprise UI reference implementation that connects deterministic application state, validation, authored product knowledge, response policy, and adaptive rendering, with later phases reserved for selective inference and runtime placement.

Try the lab ↓
Research2 pieces

Project brief

Problem
Enterprise interfaces often separate product knowledge, application state, guidance, and future intelligent capabilities into disconnected experiences.
Built response
Use one evolving reference application to study how those concerns can share explicit architectural boundaries while keeping application truth and response authority deterministic where possible.

Working Phase 1 Lab

Change the scenario and compare how a conventional interface and an adaptive interface respond to the same application truth.

Phase 1 · deterministic

Set the scenario outside the demo, then compare how two Data Connection forms respond to that same application truth. No AI, inference, or semantic retrieval is used.

01

Scenario controller

These controls set the test conditions. They are not part of either Data Connection form.

Controls demo state
User familiaritynew
Product versionv4.2
Compatible connections3 matches

Shared application truth

3 compatible connections · product 4.2 · new user

ONE STATE → TWO DEMO FORMS
02

Demo workbench

Both forms receive the same application truth. The adaptive form adds only the intervention authorized by the resolver's evidence and response policy.

Actual user task

Conventional experience

Configuration

The form exposes the available values and leaves interpretation to the user.

Required for this configuration

Awaiting selection

Adaptive experience

Configuration

The form adds only the intervention supported by the current evidence.

Choose among compatible connections

EXPLAIN

Choose the connection for the system this workflow needs to access.

DOCUMENTATION · Choosing a Data Connection

Why this guidance?

    Required for this configuration

    Awaiting selection
    03

    Inspect the deterministic decision

    Hide trace

    Application state

    4.2 · new · 3 matches

    Validation

    Data Connection is required.

    Applicable knowledge

    Authored product guidance

    Response policy

    Explain the ambiguity; do not infer or preselect a value.

    The knowledge fragments and rules in this lab are authored fixtures. The interface evaluates explicit conditions; it does not discover documents or generate guidance.

    Interaction Boundary

    The scenario controller sits outside the user task. It changes familiarity, version, and compatible options for both forms; each form then keeps its own selection and validation attempt.

    Figure 01

    The controls are outside the task

    Project · interaction anatomy

    Operator / test conditions

    New or experienced · version 4.1 or 4.2 · one or three compatible connections

    One shared scenario + required Data Connection rule

    Standard form

    Select a connection or receive required-field validation on Continue.

    Adaptive form

    Same field and validation; applicable guidance and bounded policy add a response.

    Selections and validation attempts stay independent; the demo resets them on a scenario change.

    The scenario controls set demo conditions, not user input in either form. Each form has its own selection and Continue attempt; changing the scenario resets both. The working lab, rather than this schematic, is the evidence of the behavior.

    What Phase 1 Demonstrates

    1. Same truth, different interface policy. Both forms receive the same scenario, validation rule, and compatible options.
    2. Ambiguity limits authority. Several compatible Data Connections justify explanation and guidance, but not a guessed selection.
    3. Deterministic evidence can justify a stronger action. When exactly one compatible option remains, the resolver may offer it as an explicit user-accepted preconfiguration.

    The companion Documentation-Driven Adaptive UX paper owns the fuller architectural model: state, validation, runtime context, authored knowledge, applicability, response policy, and rendering.

    Next

    The next extension is selective inference: natural-language intent or question mapping that proposes candidate product-knowledge concepts while deterministic applicability, application state, validation, and response policy remain authoritative.

    If that capability proves useful, a later phase can evaluate where inference should run across browser-local, machine-local, server, edge, or cloud tiers. Runtime placement remains an execution decision, not a reason to weaken the deterministic core.

    Project reference

    Architecture paradigm
    Deterministic application state, validation, authored product knowledge, knowledge applicability, response policy, and UI rendering
    Technologies
    • Astro
    • TypeScript
    Repository ↗

    Research basis

    Research that frames the implementation and records the reasoning behind it.