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Orielsy DiazUI Architecture • Applied AI
Orielsy Diaz • Senior Frontend Engineer • UI Architect

Architecture, interaction systems, and applied AI at the edge of the interface.

I design frontend architecture for complex, long-lived applications and enterprise platforms. My current work explores context engineering and applied AI as capabilities for product interfaces and developer tools.

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Featured Research

Essay4 min read

Progressive Enhancement for Intelligent Interfaces

Applying progressive-enhancement thinking to AI: narrow interface capabilities can improve with local or remote inference without making the baseline experience depend on a particular model, provider, or machine.

#applied-ai#ui-architecture#interface-design#progressive-enhancement
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Progressive enhancement modelCapability can increase
  1. 01BaselineAlways on

    Useful interface without inference.

  2. 02Local enhancementOptional AI

    Narrow intelligence when supported.

  3. 03Stronger inferenceOptional AI

    Remote capability when justified.

Authority stays bounded
Capability scales with environment; authority stays bounded

Latest Publications

Research & Explorations

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01
Architecture Exploration8 min read

Product Knowledge as Architecture

Given an existing library of trusted UI components, can documentation become an authoring surface for composing bounded experiences from them? This paper explores the product-knowledge architecture that would require.

06
Architecture Exploration5 min read

Context Zen: When More Context Stops Helping

An experimental context-engineering skill that watches long-running AI conversations, distills authoritative working state, and creates continuation handoffs before accumulated history becomes a liability.

From Theory to Practice

Selected Work

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PrototypeCreator / DeveloperInitial development: Jan–Jun 2024 · Source published publicly: Aug 2026

Real-Time AI Broadcast Overlay & Captioning Engine

Local speech inference translated into live captions, lower thirds, and broadcast overlays.

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Areas of Inquiry

  1. 01

    Context Engineering for Coding Agents

    Durable project knowledge and task-aware context for coding agents.

    Agent Systems

  2. 02

    Product Knowledge & Adaptive UX

    Using application state and product knowledge to guide the interface.

    UI Architecture

  3. 03

    AI as an Interface Capability

    Intelligence embedded directly into existing interface interactions.

    Applied AI

  4. 04

    Adaptive AI Runtimes

    Choosing where intelligent capabilities execute based on runtime constraints.

    Runtime Architecture