AI & Innovation
Building systems that learn, adapt, and serve.
Where energy, data, and human intention converge.
Practical intelligence — not artificial replacement.
My Approach to AI
Systems over hype
AI is infrastructure — not magic.
It's a tool for scaling insight, not replacing intuition.
My focus is on systems that close loops: using data to balance energy, optimize resources, and empower communities — not extract from them.
The defining constraint on AI is no longer model size — it's power, cooling, land, and water. EnergiAcres and Terrasow are where I work that physical layer; everything below is what I build on my own time.
What I'm Building
Personal AI projects, outside EnergiAcres and Terrasow
SecondBrain
A personal AI command center that unifies email, tasks, calendar, journaling, and contacts — extracting action items automatically and building a private knowledge graph. AI inference runs locally, so nothing personal leaves the machine.
IntelliRed Secure
An AI red-teaming platform that simulates real attacks on AI systems — prompt injection, data leakage, unsafe tool use — then closes the loop: auto-generates a fix, re-runs the attack to verify it, and exports audit-ready evidence.
FirstBlush
A social video app built around "reaction chains" — layered video responses (agree, disagree, remix) that link together as the actual content, not just comments underneath it.
MyFamilyDevices
A self-hosted, privacy-first screen-time system: kids earn iPhone/iPad time by completing verified real-world tasks — chores, learning, exercise — enforced automatically instead of policed by a parent.
Fielding
Field staff capture well and ownership data by voice or photo; AI extracts structured records while the back office handles owner revenue distribution and 1099s — replacing a decades-old legacy accounting system.
RADAR
Traces every paying customer back to the exact ad or lead source across Meta, Google Ads, HubSpot, and QuickBooks — replacing guesswork about true customer acquisition cost with confidence-scored attribution.
Entrain
Uses Apple Watch biofeedback plus audio, haptics, and breathing cues to guide a user into a target mental state — Calm, Focus, Flow — adjusting in real time behind a hardware-level safety kernel that caps every stimulus.
Line/file counts via cloc against each repo's tracked source, July 2026.
In the Field
AI, energy, and food — in conversation
Core Principles of Innovation
The philosophy that drives the work
Build for Longevity
Systems should get smarter with time, not obsolete.
Respect the Loops
Every output is input somewhere else.
Human in the Loop
Keep intuition, empathy, and ethics at the center.
Transparent Intelligence
Open data and explainable AI are non-negotiable.
Learning & Experimentation
What I'm exploring and building
Large Language Models
Exploring practical applications of LLMs in knowledge work, content generation, and decision support. Currently experimenting with RAG (Retrieval-Augmented Generation) for domain-specific applications.
Edge AI
Running inference at the edge for real-time solar monitoring and optimization. Reducing latency and cloud costs while maintaining privacy.
Generative AI
Exploring how generative models can accelerate design work, create synthetic training data, and enhance creative processes.
Predictive Maintenance
Using sensor data and ML to predict equipment failures before they happen, reducing downtime and maintenance costs.
Join the Experiment
I work with engineers, farmers, and innovators exploring how AI can power circular systems.
If that's your mission too — let's build.