That single sentence reframed my understanding of technology.
It wasn’t about tools. It was about possibility.

That idea has followed me ever since.

1995-2005

Web 1.0 - Before It Had a Name

In my first year studying New Media at Ryerson University (now Toronto Metropolitan University, TMU), a professor confidently declared:

“You will never edit film on a computer.”

That statement - intended as certainty - became fuel.

A small group of us began pushing beyond static websites and Adobe Photoshop experiments into early online video. After graduating in 1999, I co-founded a creative studio and launched Jerkyvision.com - a platform conceptually similar to YouTube, years before streaming infrastructure existed to support it.

There were no smartphones. No creator platforms. No broadband assumptions.

We worked with analog camcorders, long digitization pipelines, Macromedia Flash and Director, slow DSL, and relentless experimentation. We hosted creator focus groups discussing ideas like playlists, fullscreen playback, community voting, and discovery - concepts that would later define modern platforms.

At the same time, we were immersed in a daily influx of inspiration from early digital artists and creative technologists pushing Flash, motion graphics, and generative design forward.

What I didn’t know then was that these worlds - creative expression and system design - would eventually converge again in my work.

2006-2018

Web 2.0 - Systems, Signals, and Scale

After several years in satellite radio working on e-commerce and music streaming, I moved into startup culture - where I’ve thrived ever since.

As co-founder and product engineering lead at Guardly, we worked on next-generation 911 concepts: real-time situational awareness, indoor and outdoor positioning, and mobile emergency communication.

This was early 4G. 5G was barely conceptual.

We developed a system capable of identifying building, floor, and room-level accuracy for emergency calls from mobile devices- leading to deep discussions with the U.S. Federal Communications Commission. While the solution was private and difficult to scale nationally, it was among the most comprehensive in the market and resulted in a U.S. patent.

To this day, consumer devices still struggle to achieve that level of indoor positioning accuracy.

Looking back, what mattered most wasn’t the feature set - it was the idea of ambient data: systems that understand context without being explicitly asked. That concept would quietly shape everything I worked on afterward.

In parallel, I began exploring blockchain, decentralized systems, and IoT - not as trends, but as primitives for coordination and trust.

While at Piaro, our goal was to unify fragmented smart-home ecosystems into a cohesive, ambient layer- technology that complements daily life rather than interrupting it. We built with standards like Thread and Matter and collaborated with organizations such as the Thread Group and the Connectivity Standards Alliance, always with an emphasis on interoperability and human-centered design.

2019–2022

Web 3.0 - Emergent Primitives

This period was defined by exploration of new digital building blocks: identity, ownership, provenance, and decentralized coordination.

As blockchain, NFTs, and decentralized finance entered the mainstream conversation, my focus was less on speculation and more on understanding what these primitives enabled at a systems level. I was interested in how new forms of trust, authorship, and value exchange could reshape creative economies, commerce, and the structure of the web itself.

In parallel, I deepened my work in generative and computational creativity - blending photography with code-driven systems and early generative models. These experiments weren’t about novelty; they were about examining how creative process and authorship evolve when software becomes an active participant.

This phase was fundamentally about pattern recognition: identifying which ideas were foundational, which were transient, and which might quietly endure.

2023-Present

The Agentic Era

This is where my current work lives.

The emergence of large language models and multimodal generation didn’t just accelerate existing workflows—it fundamentally altered the structure of software. We’ve moved from applications that wait for input to systems that can reason, plan, and act across time, tools, and contexts.

My focus today is on agentic, AI-native systems: architectures designed around intent, memory, and coordination rather than isolated prompts or stateless interactions.

At the core of this work is a belief that intelligence without continuity is shallow. The most meaningful systems are those that can remember, adapt, and build understanding over time - maintaining context across sessions, modalities, and goals. This has led me to design and experiment with memory-centric AI patterns: systems where state, reflections, and prior interactions are treated as first-class primitives rather than ephemeral side effects.

Practically, this means working on:

• Agent orchestration frameworks that coordinate multiple reasoning units, tools, and data sources

• Architectures where agents can plan, delegate, observe outcomes, and refine behavior

• Creative intelligence systems that operate across text, image, video, and structured data with persistence and intent

• Open, composable cores that separate reasoning, memory, and execution—allowing systems to evolve without rewrites

Rather than treating AI as a single model call, I approach it as a learning system - one that accumulates context, develops internal structure, and operates within clearly defined constraints.

This thinking naturally extends to the surface area of the web itself.

As agents become active participants in digital ecosystems, software, content, and brands must evolve to be legible not just to humans, but to non-human actors. Much of my recent work explores what it means to design an Agent-Ready Web: standards, conventions, and interfaces that allow agents to discover, interpret, and interact with information responsibly and predictably.

Creatively, I now work with generative systems as co-processors - using them for exploration, synthesis, and pattern discovery - while remaining grounded in human judgment, taste, and accountability. The role of the human shifts from operator to director: setting intent, defining constraints, and curating outcomes.

What motivates this phase of my work is not automation for its own sake, but amplification and expansion of capacity. The goal is to enable individuals and small teams to operate with leverage, coherence, and creative reach that previously required large organizations.

We are still early - but for the first time, the primitives feel durable.
Memory exists. Agency is emerging. And systems are beginning to compound.