Portfolio / AI-native interface architecture AI-native interface architecture

Designing intelligent systems around how people perceive, decide, and act. Designing intelligent systems around perception.

Donovan Dynamics is a portfolio and design system for complex products: AI workflows, research platforms, spatial interfaces, growth systems, and tools that turn information into action. A portfolio and design system for AI workflows, research platforms, spatial interfaces, growth systems, and tools that turn information into action.

AI product strategy AI strategy
Design systems
Data visualization Data viz
Complex workflows
Human-AI collaboration

The physics of perception

The portfolio starts with the operating model. The case studies are evidence. The operating model is the idea.

The case studies are evidence. The design system is the artifact. The deeper idea is a repeatable way to design intelligent products from knowledge, context, and validated interaction. Knowledge becomes AI-assisted prototypes, validated interactions, product specifications, and shipped software.

01Knowledge
02AI
03Prototype
04Validation
05Product

System map

From philosophy to product proof.

00Philosophy
01AI Architecture
02Information Architecture
03Foundations + Components
04Patterns + Case Studies

10x

Kernel MAU growth

Documented product-system impact from the Kernel source material.

$1B

Connectivity Lab valuation

Geospatial planning and data visualization tied to large-scale product strategy.

Quora, Poe, Meta

LLM strategy, monetization, recommendations, and growth workflow case material.

Real-time evidence layer

Design decisions should make live system state easier to read.

This pass adds a more robust data-visualization language: three cells across the page, consistent card styling, lightweight charts, and a green semantic palette.

Signal quality

94%

Confidence view for turning messy information into product judgment.

System latency

0.8s

Real-time feedback should feel visible before it becomes overwhelming.

Decision flow

3:1

Evidence, context, and action remain distinct but visibly connected.

Selected Systems

The homepage is now an index into the portfolio. Each system should eventually resolve into its own case-study page with clean, retina-level assets.

Research platform / design system

Kernel Neurotech

Participant workflows, researcher tools, data visualization, and modular software for neuroscience.

Retina export pending Source: Figma frame 383:96

Geospatial systems / inspection

DroneDeploy

Project navigation, 360 Walkthroughs, reporting, mobile fieldwork, and spatial evidence workflows.

Retina export pending Source: Figma frame 383:107

AI content / monetization

Quora x Poe

LLM-enabled features, AI summaries, dynamic content formats, ads tooling, and monetization strategy.

Retina export pending Source: Figma frame 383:119

Spatial computing / data systems

Meta Systems

Oculus event systems, Connectivity Lab planning tools, and Facebook Pages growth surfaces.

Oculus Events overview from the Meta case study

Thought leadership

The journal becomes the public theory layer.

Essays connect Donovan Dynamics concepts to real product evidence: philosophy, framework, product example, design pattern, and takeaway.

Designing with Dimensional Clarity

AI-Native Interface Architecture

The Physics of Perception

Open journal

Portfolio direction

Design systems, case studies, and writing now have separate places to live.

This pass turns the Figma structure into a routed prototype: homepage, case-study index, Meta case study, system page, and journal page.

Read Meta case study View the system