Twenty-eight years of systems built around consequential problems.
This is selected evidence from a 28-year career in technology: platforms, production systems, delivery tools, volunteer infrastructure, and independent builds I have architected, built, or led. Every flagship identifies the operating problem, my contribution, and what the available evidence can honestly prove.
Consequential problems. Traceable decisions. Honest proof.
These projects carry the strongest combination of business consequence, architecture, leadership responsibility, and implementation evidence. Each page says plainly what is measured, implemented, deployed, or private.
- Read Strategic account intelligence platform
Enterprise AI and go-to-market systems
Strategic account intelligence platform
A governed intelligence system that helped sales teams and leaders move from fragmented account research to current, evidence-backed decisions.
Implemented private system
- Read Account data intelligence platform
Data and insight systems
Account data intelligence platform
A scalable processing system that turned large account datasets into normalized, evaluated, and useful sales intelligence.
Measured business outcome
- Read Church communications platform
Volunteer technology
Church communications platform
A volunteer-built platform for churches to manage podcasts, newsletters, email and SMS campaigns, audience lists, users, services, and scheduled delivery.
Deployed system
- Read Harness Academy
Applied AI education
Harness Academy
A practical learning platform with distinct paths for builders, solution architects, and technology leaders.
Public artifact
The wider technical practice behind the flagship proof.
Platforms, automation, recursive systems, and developer infrastructure show the continuity of the work across domains.
- Read Agent Fabric
Agent-development systems
Agent Fabric
A provider-neutral coordination layer that keeps multi-agent tasks, messages, decisions, and RPIV gates consistent across interchangeable tools.
Implemented private system
- Read Flowplane
Agent-development infrastructure
Flowplane
A workflow engine for AI-assisted software development with isolated execution, durable work tracking, and persistent knowledge.
Implemented private system
- Read Enterprise AI knowledge platform
Enterprise AI platforms
Enterprise AI knowledge platform
A governed enterprise assistant for meeting intelligence, knowledge bases, organizational data, retrieval, and agent workflows.
Implemented private system
- Read AI delivery engineering platform
Delivery systems and automation
AI delivery engineering platform
A low-code engineering environment that helped delivery teams build governed AI automation without unnecessary configuration burden.
Implemented private system
- Read OEM automation platform
Human-governed automation
OEM automation platform
A natural-language administration system that planned, executed, and verified complex changes across APIs and management interfaces.
Implemented private system
- Read TerraFlux
Recursive development systems
TerraFlux
A coding harness that carried decisions, insights, and outcomes forward across recursive agent workflows.
Implemented private system
- Read Shipyard
Developer infrastructure
Shipyard
A fleet of isolated AI development environments accessible from anywhere through a private network.
Implemented private system
Working prototypes, published with their evidence.
The lab is a separate site. Each prototype there states what was measured, what was assumed, and where the evidence stops.
Visit the labs (opens in a new tab)Smaller builds and open-ended research.
Not every useful system begins as a business initiative. These projects test an idea, solve a narrow problem, or simply make room to learn.
- Read Longhearth
Hobby project
Longhearth
A persistent world simulation where player and NPC decisions reshape shared knowledge and world state across generations, with lineage, houses and families, land, and competing control at its center.
Private implementation
- Read Quill
AI writing system
Quill
An AI-assisted macOS environment for planning, drafting, and revising novel-length work with safe agent collaboration, checkpoints, and Git-backed history.
Private implementation
- Read Thinking in Algorithms
Interactive algorithm experiments
Thinking in Algorithms
A set of TypeScript experiments that makes rules tangible through a responsive memory-matching game, chess-board diagonals, and periodic-table word construction.
Private implementation
- Read Neural-network driving simulation
Applied neural-network experiment
Neural-network driving simulation
An in-browser driving simulation built without machine-learning libraries. Five distance sensors feed a 5→10→10→4 neural network that decides forward, left, right, and reverse while navigating traffic and road boundaries.
Private implementation
Privacy and proof follow stated rules.
The evidence boundary is part of the claim, not a note beneath it.
Shape and scale
Organizations are described by shape and scale rather than by name.
Directional figures
Figures are directional when exact figures are not mine to publish.
Claim boundary
Every case states what it can and cannot prove.
Stable evidence
Private systems are shown as dated artifacts rather than live links, so the evidence does not change underneath the claim.