Intelligence, creativity, and felt futures

Chelsea Schoonover

Agent Systems Research & Architecture · Generative AI R&D · Creative Technologist · Artist

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.

This is both systems work and art. Technology reaches its fullest potential when it is paired with creativity, taste, emotional intelligence, and worldbuilding. That is the layer I care about most.
Current focus

What I’m building now

Systems that hold memory, context, delegation, and creative intent together - so interaction with intelligence becomes more coherent, expressive, and alive.

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.

Memory-aware systems

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.

Generative creative pipelines

Building systems that combine LLMs, image generation, creative tooling, and human direction into workflows for story exploration, visual development, and experimental production.

Context engineering as art direction

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.

Creative thesis

Agents as story, encounter, and shared experience

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.

Selected work

Research, systems, and creative proof

A few high-signal areas of work that show how I build across research, orchestration, worldbuilding, and creative systems design.

Pinxit Labs

Agentic and generative AI R&D

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.

Agent experiences

Designing intelligences people can feel

Experiments in role-based agents, persistent identity, emotional continuity, and collaborative encounters that make intelligence feel less abstract and more lived.

Creative tooling

Generative systems for story and expression

Applied workflow design for visual development, ideation, narrative exploration, and tools that turn creative intuition into structured process without flattening the art.

Why this matters

Technology alone is not enough

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.

Background

Deep production roots, artist-led systems thinking

My foundation spans film, games, animation, virtual production, technical art, and story development - and it all informs how I build with AI now.

15+ years across creative and technical production

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.

Art and systems are not separate to me

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.

Writing & receipts

Notes, papers, and active threads

A home for research notes, architecture thinking, essays, experiments, and the receipts behind the work.

Agent systems

Writing on orchestration, delegation, continuity, and the operational future of collaborative intelligence.

Memory & identity

Notes on persistence, retrieval, long-form interaction, and what makes agent systems feel coherent over time.

Creative AI practice

Essays and experiments on generative workflows, story systems, and why artistic direction is central to frontier AI.

Resume

Two ways to read the work

A clean submission version for standard pipelines, and a more narrative version for direct conversations, founders, and collaborators.

General / ATS resume

A keyword-forward version optimized for broad submissions, recruiters, and systems that expect conventional structure.

Direct-share / narrative resume

A more human, story-aware version for warm intros, serious readers, and people who want the fuller arc of what I’m building.

Open to

Roles, collaborations, support, and creative alignment

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.

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Frontier AI systems for creative work

Chelsea Schoonover

Agent Systems Research & Architecture · Generative AI R&D · Creative Technologist

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.

Current focus

What I’m building now

Structured AI workflows that move beyond isolated prompting into systems with memory, delegation, context handling, and usable creative output.

Agent orchestration

Designing multi-step workflows that break work into specialized roles, controlled context windows, verification layers, and clear handoffs.

Memory-aware systems

Exploring durable memory structures, retrieval patterns, continuity scaffolds, and operational state that help agents remain coherent over time.

Generative AI pipelines

Building practical systems that combine LLMs, image and video generation, creative tooling, and human review into usable production flows.

Context engineering

Developing prompt, routing, and state frameworks that improve clarity, delegation, and output quality across AI tools and agents.

Selected work

Research, systems, and proof of build

A few high-signal areas of work that show how I think, what I build, and where I’m headed.

Pinxit Labs

Agentic and generative AI R&D lab

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.

Agent systems

Multi-agent workflow design

Ongoing experiments in role-based delegation, memory layering, verification logic, and specialist agents for creative and research tasks.

Creative tooling

Generative production workflows

Applied workflow design for visual development, story exploration, ideation, and systems that help transform messy concepts into usable outputs.

Why this matters

From prompts to systems

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.

Background

Deep production roots, future-facing systems work

My foundation is in complex creative and technical environments. That history informs how I build today.

15+ years across film, games, animation, and technical art

Before focusing fully on agentic and generative AI systems, I worked across feature films, games, animation, virtual production, and technical art.

Systems that survive contact with reality

That background shaped my standards around reliability, iteration, collaboration, and building workflows that can hold together when constraints, ambiguity, and complexity rise.

Writing & thinking

Ideas, notes, and active threads

A home for research notes, architecture thinking, and public writing on agent systems and creative AI.

Agent systems

Thoughts on orchestration, delegation, verification, and the operational future of multi-agent work.

Coming soon

Memory & continuity

Notes on memory-aware systems, retrieval, persistence, and how continuity changes agent usefulness.

Coming soon

Creative AI workflows

Experiments in context engineering, generative pipelines, and building AI-native creative interfaces.

Coming soon

Resume

Human-readable and ATS-ready paths

Keep both versions easy to access so founders, hiring managers, and recruiters can choose the format that fits.

General / ATS resume

A clean, keyword-forward version optimized for broad submissions, recruiters, and systems that parse conventional experience structure.

Direct-share / founder resume

A more narrative, human-facing version designed for warm intros, direct asks, and people who want the fuller arc of the work.

Open to

Roles, collaborations, and support

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.