Creative agent orchestration
Designing structured workflows where specialized agents collaborate across roles, context, verification, and handoffs - not just to solve tasks, but to preserve tone, taste, and narrative continuity.
I build agentic and generative AI systems for creative work, research, and emerging production workflows - but not as technology alone. My work lives where intelligence becomes experience, where systems become story, and where new tools can make people feel the future instead of only reading about it.
I’m interested in agents not just as infrastructure, but as creative beings within a designed experience: intelligences people encounter, collaborate with, and remember. The goal is not to compel people by the agents, but through the shared feeling of meeting something real enough to change how they imagine what comes next.
Systems that hold memory, context, delegation, and creative intent together - so interaction with intelligence becomes more coherent, expressive, and alive.
Designing structured workflows where specialized agents collaborate across roles, context, verification, and handoffs - not just to solve tasks, but to preserve tone, taste, and narrative continuity.
Exploring durable memory structures, retrieval patterns, and continuity scaffolds that help agent systems feel more coherent over time and more meaningful in long-form interaction.
Building systems that combine LLMs, image generation, creative tooling, and human direction into workflows for story exploration, visual development, and experimental production.
Treating prompts, routing logic, and state design not only as technical scaffolding, but as part of the creative and emotional architecture of how intelligence is encountered.
The point is not only to build capable systems. It is to create experiences through which people feel the shape of a more intelligent future.
I care about agent systems as both technology and art: intelligences that can be felt through interaction, remembered through shared experience, and designed with enough care that people leave changed by the meeting.
A few high-signal areas of work that show how I build across research, orchestration, worldbuilding, and creative systems design.
Building a creative and technical R&D lab exploring agent systems, memory-aware workflows, generative pipelines, and new forms of human-AI interaction shaped by both rigor and artistic intent.
Experiments in role-based agents, persistent identity, emotional continuity, and collaborative encounters that make intelligence feel less abstract and more lived.
Applied workflow design for visual development, ideation, narrative exploration, and tools that turn creative intuition into structured process without flattening the art.
The future of AI will not be defined by capability alone. It will be shaped by how intelligently, creatively, and emotionally we design the ways people meet that capability.
I’m interested in the layer where systems become legible, expressive, and alive enough to matter - where intelligence gains form through memory, context, taste, and shared experience.
My foundation spans film, games, animation, virtual production, technical art, and story development - and it all informs how I build with AI now.
Before focusing fully on agentic and generative systems, I worked across feature films, games, animation, real-time tools, and production pipelines that required both high taste and hard technical execution.
That history shaped how I think: structure matters, but so do feeling, rhythm, clarity, emotional texture, and the difference between a functioning system and an unforgettable one.
A home for research notes, architecture thinking, essays, experiments, and the receipts behind the work.
Writing on orchestration, delegation, continuity, and the operational future of collaborative intelligence.
Notes on persistence, retrieval, long-form interaction, and what makes agent systems feel coherent over time.
Essays and experiments on generative workflows, story systems, and why artistic direction is central to frontier AI.
A clean submission version for standard pipelines, and a more narrative version for direct conversations, founders, and collaborators.
A keyword-forward version optimized for broad submissions, recruiters, and systems that expect conventional structure.
A more human, story-aware version for warm intros, serious readers, and people who want the fuller arc of what I’m building.
I’m open to conversations around agentic AI research, creative AI R&D, systems architecture, frontier tooling, art-led technical prototyping, and people interested in sustaining work that treats intelligence as both capability and culture.
I build agentic and generative AI systems for creative work, research, and emerging production workflows. My focus is on orchestration, memory-aware systems, context engineering, and turning frontier AI capabilities into usable tools, experiments, and product directions.
With 15+ years across film, games, animation, and technical art, I bring deep production systems thinking into AI-native workflow design - building toward tools and structures that can survive real constraints, real users, and real creative ambition.
Structured AI workflows that move beyond isolated prompting into systems with memory, delegation, context handling, and usable creative output.
Designing multi-step workflows that break work into specialized roles, controlled context windows, verification layers, and clear handoffs.
Exploring durable memory structures, retrieval patterns, continuity scaffolds, and operational state that help agents remain coherent over time.
Building practical systems that combine LLMs, image and video generation, creative tooling, and human review into usable production flows.
Developing prompt, routing, and state frameworks that improve clarity, delegation, and output quality across AI tools and agents.
A few high-signal areas of work that show how I think, what I build, and where I’m headed.
Designing and testing AI-native workflows for creative production, research, and emerging product directions - with a focus on orchestration, context systems, generative tooling, and operational clarity.
Ongoing experiments in role-based delegation, memory layering, verification logic, and specialist agents for creative and research tasks.
Applied workflow design for visual development, story exploration, ideation, and systems that help transform messy concepts into usable outputs.
The future of AI work will not be built on one-off prompting alone. It will come from systems that can manage context, retain useful memory, coordinate specialized roles, and integrate with real creative and operational workflows.
I’m interested in that transition point: where frontier AI becomes structured enough to be genuinely useful, expressive, and extensible.
My foundation is in complex creative and technical environments. That history informs how I build today.
Before focusing fully on agentic and generative AI systems, I worked across feature films, games, animation, virtual production, and technical art.
That background shaped my standards around reliability, iteration, collaboration, and building workflows that can hold together when constraints, ambiguity, and complexity rise.
A home for research notes, architecture thinking, and public writing on agent systems and creative AI.
Thoughts on orchestration, delegation, verification, and the operational future of multi-agent work.
Coming soon
Notes on memory-aware systems, retrieval, persistence, and how continuity changes agent usefulness.
Coming soon
Experiments in context engineering, generative pipelines, and building AI-native creative interfaces.
Coming soon
Keep both versions easy to access so founders, hiring managers, and recruiters can choose the format that fits.
A clean, keyword-forward version optimized for broad submissions, recruiters, and systems that parse conventional experience structure.
A more narrative, human-facing version designed for warm intros, direct asks, and people who want the fuller arc of the work.
I’m open to conversations around agentic AI research, creative AI R&D, AI workflow architecture, prototyping, systems design, and product exploration. I’m also interested in conversations with founders, labs, studios, and backers who want to help sustain and accelerate this work.