I am interested in sovereignty, nature (in the most comprehensive
sense), and the tools people use to understand and shape the world.
My work has ranged from helping developers adopt cryptographic
technologies to experimenting with AI agents, private applications,
dream interpretation, music learning, and new forms of collective
human-computer collaboration.
Questions I'm exploring
This site is organized around active inquiry. Some questions may
become projects or notes; others are useful because they remain
open.
View questions
How does software development change when agents become
increasingly capable builders?
What forms of privacy and autonomy become necessary in an
AI-mediated world?
What allows individuals, groups, and machines to become more
intelligent together?
What does it mean to steward complexity rather than control it?
Work and experiments
Professional work, personal tools, and unfinished investigations
belong here together. Each is a way of testing an idea in the world.
View work and experiments
Selected work
Aztec and Noir developer ecosystem
Developer relations and ecosystem design
I led Developer Relations at Aztec, helping developers understand
and adopt difficult cryptographic infrastructure. The work
included education, documentation, workshops, examples, support
systems, ecosystem feedback, and team leadership. Later, I
increasingly explored AI-assisted developer experience and
agent-readable knowledge systems. I distilled the values, goals,
and operating model behind that work in a
Developer Relations Strategy presentation
↗ (external site).
An exploration of private, on-chain transfers using zero-knowledge
proofs and homomorphic encryption. It asks what programmable
privacy can feel like in an application, rather than treating
privacy as a purely infrastructural feature.
A native Android proof of concept for generating and verifying
Aztec client-side proofs on the device. It explores what private
application infrastructure might look like when proving,
verification, and eventually wallet flows can move closer to the
person using them.
A hackathon privacy application suite for ERC-20 tokens, including
sealed-bid auctions, private crowdfunding, and private token
voting. It was an experiment in giving people more agency in the
everyday applications built on public blockchains.
An experiment in using AI as an interpretive partner, not to
deliver authoritative answers, but to help people explore
recurring symbols, patterns, and perspectives in their inner
lives.
An ongoing investigation into how developer experience changes
when software is increasingly written by agents: agent-readable
documentation, MCP tools, evals, automated feedback loops, and
interfaces spanning the terminal, IDE, web, and chat.
A planned workshop on agentic fundamentals beyond packaged
products: terminal-based harnesses, always-on home servers,
Raspberry Pi systems, Telegram interfaces, home automation, and
multiple persistent agent sessions.
Piano learning experiments
activeMusic, learning
Using PianoBooster while learning piano and music theory, with an
interest in the feedback loops that make sustained practice more
legible and rewarding.
How agent workflows turned developer questions and failures into
changes to documentation, tooling, and product development.
Documentation as agent infrastructure
seedUpdated July 2026Developer tools
Documentation is increasingly used by more than a human reader. I
am interested in what makes technical knowledge legible to people
and capable agents without reducing it to a pile of retrieval
fragments.
Read the note
Good documentation carries context: why an interface exists, how
it fails, what has changed, and where uncertainty remains.
Agent-readable systems may need the same qualities, expressed in
structures that can be queried, tested, and kept current.
Privacy and meaningful choice
developingUpdated July 2026Privacy, agency
Privacy is not only about keeping secrets. It is part of the
practical space people need to experiment, change their minds,
form relationships, and make choices that are not immediately
optimized by a surrounding system.
Stewarding complexity
seedComplexity, collective intelligence
How might we design systems that help people notice, hold, and
learn from complexity rather than prematurely simplifying it into
control?
Library
I'm drawn to books that explore agency, consciousness, technological
change, human development, privacy, and the emergence of new forms
of order.
View library
Choice and process
The Effective Choice
↗Forrest Landry's framework for freedom, constraint,
cooperation, ownership, and the conditions that expand
meaningful choice.
The Immanent Metaphysics
↗Forrest Landry's inquiry into metaphysics, process, and the
patterns beneath experience.
Moby Dick ↗One of my favorite novels: an immense exploration of
obsession, knowledge, nature, fate, and the human urge to
impose meaning on what exceeds us.
Shantaram ↗Currently reading. A sprawling novel about exile,
reinvention, friendship, moral ambiguity, and the search for
belonging.
Now
Last updated: July 2026
View current focus
Building
Agent-readiness tools that test whether coding agents can
complete real developer journeys from public documentation,
along with benchmarks and knowledge systems for AI-assisted
software development.
Learning
Model training and fine-tuning, synthetic data, open-source
model internals, and the constraints of running small models on
private, local hardware.
Thinking about
How model behavior, agent harnesses, tools, and structured
knowledge should divide responsibility—and how those systems
can preserve user agency.
Local
Developing a Detroit-area workshop on agentic fundamentals and
practical systems.
About
I am based in the Detroit area. Much of my career has involved
helping developers engage with emerging technology, most recently
through developer relations leadership at Aztec and work with
cryptography, privacy, and developer ecosystems.
View more about me
I am increasingly focused on AI, agents, developer tooling, and
knowledge systems. Outside of work, I keep returning to philosophy,
complexity, collective intelligence, dreams, music, education, and
technologies that support agency.
Across these different domains, I keep returning to the same
question: what conditions allow greater intelligence, agency, and
complexity to emerge?
My interest in privacy began with the cypherpunk conviction that
people need systems that preserve autonomy and meaningful choice.
That concern feels more, not less, important in a world increasingly
mediated by intelligent machines.
"We the Cypherpunks are dedicated to building anonymous systems.
We are defending our privacy with cryptography, with anonymous
mail forwarding systems, with digital signatures, and with
electronic money."
