Twenty-eight years of systems built around consequential problems.

This is selected evidence from a 28-year career in technology: enterprise platforms, operating methods, recent AI systems, and independent builds I have architected and delivered. Each case study connects an operating constraint to a system, my contribution, and a result.

Abstract architectural study representing connected systems
Systems / decisions / operating consequence

A career of platforms, methods, and operating systems.

These selections span enterprise leadership, production systems, volunteer service, and current independent work. Select a project to see the architecture, my role, and the outcomes it produced.

  1. 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.

    Read Strategic account intelligence platform
  2. Data and insight systems

    Account data intelligence platform

    A scalable processing system that turned large account datasets into normalized, evaluated, and useful sales intelligence.

    Read Account data intelligence platform
  3. Enterprise AI platforms

    Enterprise AI knowledge platform

    A governed enterprise assistant for meeting intelligence, knowledge bases, organizational data, retrieval, and agent workflows.

    Read Enterprise AI knowledge platform
  4. 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.

    Read AI delivery engineering platform
  5. Human-governed automation

    OEM automation platform

    A natural-language administration system that planned, executed, and verified complex changes across APIs and management interfaces.

    Read OEM automation platform
  6. Agent-development systems

    Agent Fabric

    A multi-agent development system built around a repeatable Research, Plan, Implement, and Validate methodology.

    Read Agent Fabric
  7. Agent-development infrastructure

    Flowplane

    A workflow engine for AI-assisted software development with isolated execution, durable work tracking, and persistent knowledge.

    Read Flowplane
  8. Recursive development systems

    TerraFlux

    A coding harness that carried decisions, insights, and outcomes forward across recursive agent workflows.

    Read TerraFlux
  9. Developer infrastructure

    Shipyard

    A fleet of isolated AI development environments accessible from anywhere through a private network.

    Read Shipyard
  10. 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.

    Read Church communications platform
  11. Applied AI education

    Harness Academy

    A practical learning platform with distinct paths for builders, solution architects, and technology leaders.

    Read Harness Academy

Smaller builds and open-ended experiments.

Not every useful system begins as a business initiative. These projects test an idea, solve a narrow problem, or simply make room to learn.

  1. 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.

  2. 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.

  3. Interactive algorithm experiments

    Thinking in Algorithms

    A TypeScript collection that makes algorithmic thinking tangible through responsive 4×4 and 6×6 memory-matching games for solo and multiplayer play, alongside experiments in chess-board diagonals and periodic-table word construction.

  4. 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.