Ludflow
Commercial platform
Documentation, data governance, and MCP context for AI tools. Ludflow also stores the documents behind DecidR MCP's decisions and projects.
This content is fully accessible on mobile, but the desktop version still carries the full windowed experience.

I build AI workflow software and the systems around it: data, integrations, and security. I'm most useful when a founder or operations team needs one person who can figure out what's broken, build the fix, and teach people to use it safely.
I've built three AI products. Each one gives AI better context or gives people a clearer way to review and act on what it produces.
Commercial platform
Documentation, data governance, and MCP context for AI tools. Ludflow also stores the documents behind DecidR MCP's decisions and projects.
Open source
A desktop companion that shows AI agent output as reviewable interfaces instead of chat text. It carries workflows and instructions between tools and uses breadcrumb-style rule discovery to keep token use low.
Project management for AI teams
Project management and governance for teams that work with AI. It connects to any MCP-capable tool, so people can work with their AI assistants and still collaborate with each other asynchronously. Decisions, approvals, and implementation context stay in one place.
I joined Ivy Energy in 2019 as a web development contractor. The job grew into IT, Salesforce administration, data engineering, AI enablement, product R&D, and security.
I sit in on several teams' daily standups and turn what I hear into tools and training.
SOC 2
Built Ivy's SOC 2 program from scratch and still run it, including controls, evidence, access reviews, and process ownership. I'm the only person at the company responsible for cybersecurity, so I weigh every control against how fast the rest of the team needs to move.
Snowflake, Salesforce, Odoo
Moved core data and reporting into Snowflake so operational data could be used reliably downstream. Connected Salesforce, Zendesk, Slack, ClickUp, Odoo, and Snowflake.
Operations teams
Taught non-technical teammates where AI helps, when its output needs a second look, and what data should never be pasted into it.
Forward-deployed engineer
Worked in product R&D as a forward-deployed engineer.
I take on data and AI builds, and I coach founders without a technical background through turning an idea into software they can review, ship, and keep reasonably secure.
MLM health company
Built a custom data engineering pipeline for an MLM health company, with AI-enabled reporting that works directly inside ChatGPT.
Founder coaching
Coached a non-technical product manager building an MVP for a health and behavior-change idea. The goal was a first version that was realistic, secure enough to learn from, and easy for its owner to understand.
Team enablement
Gave a team of accountants, Bitcoin specialists, and other non-technical contributors a way to define requirements, review prototypes, report issues, and ship changes with confidence.
Projects I build in public for the hardware I use: the Valve Steam Frame headset and Even Realities G2 glasses.
VR desktop and open hand dataset
A multi-monitor KDE Plasma desktop for the Valve Steam Frame that runs on the headset itself. It combines a mouse, eye tracking, hand tracking, and voice, so you can look at something and pinch to click it. The goal is the best multimodal input on the headset, built in the open with the people who use it.
Android app SDK
An SDK in my fork of Faceclaw, the unofficial Even Realities G2 interface, that lets ordinary Android apps draw their own screens on the glasses. Each app keeps its own permissions and data, and the user approves which features it can use.
Glasses app and computer bridge
Runs T3 Code on the glasses. The glasses app reads and continues agent conversations, starts sessions, and takes dictated replies for review. The computer bridge connects to T3 Code and transcribes speech locally with Whisper.
Signal and SMS
A glasses inbox for Signal and SMS. Signal connects straight from the phone as a linked device, and T3 agents can draft replies that are reviewed and sent from the glasses.
Prompts, context, tools, review steps, and interfaces built around a real job, so people can check the output and keep using it.
Pipelines, APIs, warehouses, CRMs, and ERPs. This is the layer that decides whether an AI tool works in production or stays a demo.
Permissions, controls, audit trails, and deployment risk, handled while the product is still taking shape.
Turning a team's problem into a working first version, then teaching them to run it without me.
I've always wanted to know how things work. I grew up building computers and repairing phones, and that curiosity turned into a career in software, security, and data.

I live in Ogden with my wife Julie, a YA fantasy author, and our son Orion. Another child is on the way.
Flight simulation, VR, and AR mix software, hardware, and interface design, which makes them the fun version of my day job.
Lake days on an efoil, plus the maintenance that comes with gear that mixes water, batteries, and firmware.
A home lab for trying out infrastructure, monitoring, and automation, and an interest in DIY solar and 120/240V backup power.
For AI product roles, founder-led projects, internal platform work, consulting, or anything Ludflow and MCP.