CONSULTING · SYSTEMS · AI

Build what works. Strategy follows reality.

> No AI strategies disconnected from reality

> No architecture without touching your infrastructure

> No workshops that end in a report

> No transformation that doesn't ship

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BASED IN UTAH · WORKING WORLDWIDE

> codegrit --flywheel

01 BUILD FROM REALITY

02 ALIGN THE STRATEGY

03 SCALE THE SYSTEM

THE FLYWHEEL

Reality. Align. Scale. Compound.

Not a menu of services, not a linear pipeline — a sequenced system where each phase builds momentum for the next. Strategy follows reality. Every rotation compounds.

Build from Reality

Start with something real. One working system, one data point, one thing that actually ships — before the strategy or the roadmap.

Ground Truth Built a concurrent workflow utilizing modern cloud infrastructure and micro functions — starting with one high-transaction service at Crux, containerized with Docker on AWS. Measured cost, latency, and ops overhead before touching the rest of the data center.

Align the Strategy

Now that we know what's real, strategy goes where the evidence leads. No strategy delivered by someone who hasn't touched your infrastructure or your code.

Signal Built the full migration plan around what that pilot revealed — dependencies, data gravity, team readiness. The architecture followed the evidence, not a whiteboard.

Scale the System

Working system, proven approach — now operationalize and compound. Every rotation of the flywheel builds speed and reduces organizational friction.

Compound Full data center decommissioned. 99.99% uptime. 75% cost reduction.
2018 Innovator of the Year — architecture that shifted company strategy.

Same pattern at Voze: one shipped agent grew into a multi-tenant AI platform — agentic interactions at scale, humans in the moderation loop, lower cost, higher quality.
AI Utah 2023 Honoree

Each phase builds on the last. Strategy follows reality. Systems scale from the ground up, not from theory. The flywheel keeps turning.

FEATURED WORK

Systems we've built. Outcomes that matter.

View all on GitHub →

Build → Align → Scale Open Source / Agent Tooling

AGENT_SKILLS

Problem: AI engineering teams need reusable, composable skill modules that work across agent frameworks.

Built: An open-source skills repository with structured modules for Hermes Agent and other orchestration systems.

Outcome: Live codebase powering a multi-agent development squad with 10+ specialized skills in daily use.

View on GitHub →

Build → Scale Mobile / AI Productivity

ThoughtSpace

Problem: Personal knowledge management lacks AI-assisted organization and frictionless cross-device sync.

Built: A React Native mobile app with Firebase Cloud Functions, Firestore, Auth, and OpenRouter AI proxy.

Outcome: In private beta with StoreKit IAP integration and real user feedback driving iteration.

Private beta — coming soon

Build → Scale Mobile / Plant Care

GardenDex

Problem: Plant owners need a smart directory that identifies species, tracks care, and keeps plant data organized across devices.

Built: A React Native mobile app with AI-powered plant identification from photos, care suggestions, location tagging, and a searchable plant database.

Outcome: Live at gardendex.app with plant recognition, personalized care reminders, and a growing user base.

Visit GardenDex →

Build → Align → Scale Automation / Systems

Agent Squad Orchestration

Problem: Coordinating a team of specialized AI agents across research, coding, QA, and PM tasks.

Built: A kanban-driven orchestration system with 6 agent profiles, automated dispatch, and heartbeat monitoring.

Outcome: Active pipeline delivering code changes, research, and documentation on a daily cadence.

Explore the repo →

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