Portfolio — Work in Progress

I Don't Advise on AI. I Build It.

A 39-agent autonomous software factory. Two mobile apps in app store review. Infrastructure that replaces expensive SaaS with self-hosted solutions. When I advise clients on AI strategy, I've already solved the problems they're about to encounter.

39

AI Agents Built

10

Pipeline Stages

8

Departments

2

Apps Shipped

280+

Tests Passing

6+

Sites Managed

Flagship Project

MVAT Studio — Autonomous Multi-Agent App Factory

A framework where 39 AI agents autonomously build, test, and ship mobile apps — no human in the loop during pipeline execution. Not a demo. Not a prototype. A production system that has shipped two apps through Apple and Google review.

Architecture

Product

5

Strategy, PRDs, Personas, Prioritization, Market Research

Design

5

UX, UI, Design System, Interactions, Accessibility

Engineering

8

Architecture, Frontend, Backend, Security, DevOps, Code Review

Testing

5

Strategy, Unit Tests, Integration Tests, Quality Gate, Auto-Heal

Marketing

5

ASO, Content, Social Media, Ad Ops, Launch Coordination

Analytics

5

Metrics, Behavior, Crashes, Anomalies, Experiments

Finance

4

Revenue, Budget, Forecasting, Spend Alerts

Governance

2

Pipeline Judge, Spec Evolver (mutual oversight)

Tiered Model Assignment — Cost Optimization Without Quality Loss

7

Opus

Production code + critical gates

19

Sonnet

Content, analysis, design specs

13

Haiku

Read-only analytics + reporting

Governance Innovation

The hard problem in multi-agent systems isn't making agents that work — it's making them fail safely. All governance is versioned JSON with git-based enforcement hooks. Zero infrastructure.

Circuit Breakers

Auto-trip after 3 consecutive failures, pausing agents before errors cascade through the pipeline.

Pipeline Judge

Independent cross-department validator catching goal drift and hallucination propagation at every stage transition.

Mutual Oversight

The spec-evolver and pipeline-judge cannot modify each other. Only the founder can — eliminating self-modification loops.

Confidence Gating

Auto-execute above 0.85, flag for review at 0.65–0.84, escalate below 0.65. No ambiguous thresholds.

Correction-Driven Learning

Founder feedback as the primary learning signal via append-only correction logs — a feedback loop that compounds over phases.

Assumption Registry

Temporal history of system beliefs — tracking what the system believes, when beliefs changed, and why.

10-Stage Looping Pipeline

1Discovery
2Strategy
3Design
4Engineering
5Code Review
6Testing
7Build/Deploy
8Marketing
9Release/Monitor
10Feedback Loop
↺ 1

Pipeline-judge validates at every stage transition. Stage 10 loops back to Stage 1 with a cross-department synthesis report. Six rollout phases (R1–R6) progressively expanded system autonomy. Current: R6 — full collective autonomy.

Shipped Products

Apps Built by the Pipeline

MVAT Focus

Focus Timer · iOS & Android

Pomodoro-style focus timer with free/Pro tiers. Submitted to App Store Connect and Google Play. TestFlight live with 15 testers. Stripe subscriptions processing live payments.

Expo SDK 52, TypeScript strict, Firebase
Apple Sign-In + Google OAuth
Stripe: $4.99/mo, $39.99/yr (live)
280+ passing tests, 0 type errors
App Store: submitted for review
Google Play: closed testing in review

MVAT Mirror

Personality Profiling · iOS & Android

Zero-question personality profiling from real-world behavioral data. No quizzes. No self-reporting. Just signal from music, browsing, and purchase patterns.

Expo SDK 55, TypeScript strict, Zustand
Pipeline stages 1–5 complete
20+ cross-department artifacts
30+ source files, 0 type errors
Free tier + $9.99/mo + $49.99 lifetime
Stage 6 (Testing) in progress
Infrastructure & Automation

Build Over Buy

Systematically replacing subscription SaaS with self-hosted solutions. Full ownership, zero ongoing cost, better observability.

Self-Hosted Link Tracking

Replaced a $30/mo SaaS link tracker with a 15-line route that 301-redirects with UTM parameters. Same functionality, zero ongoing cost.

Dub.co → self-hosted

Auto Social Posting Pipeline

Blog posts auto-syndicate to X and Facebook on deploy. Detects new posts via blob-stored manifest, generates tracked links, prevents duplicate posts.

Zero-touch publishing

Daily Founder Digest

GitHub Actions scans governance escalations twice daily and emails a digest via SMTP — only when there are unresolved items.

39 agents, 1 email/day

Multi-Site Orchestration

6+ websites updated simultaneously using parallel sub-agents. Cross-repo changes, deploys, and live verification in a single session.

Hours → minutes

Browser-as-API Automation

When platforms lack APIs, automated via Playwright — treating the browser as a programmable interface. Gmail aliases, store configs, OAuth setup.

35 Gmail aliases automated

SaaS Replacement Pattern

Systematically replacing subscription tools with self-hosted equivalents. Link tracking, analytics, monitoring — owning the stack.

3+ tools replaced
Technical Depth

Stack

AI / ML

  • Claude API (Opus / Sonnet / Haiku)
  • OpenAI
  • Google Gemini
  • ElevenLabs
  • HeyGen

Mobile

  • Expo / React Native
  • EAS Build & Submit
  • App Store Connect
  • Google Play Console
  • react-native-iap

Cloud

  • Firebase (Firestore, Functions, Auth)
  • Netlify (Functions, Blobs, Deploy Hooks)
  • GitHub Actions CI/CD
  • Stripe (Payments, Subscriptions, Webhooks)

Languages & Frameworks

  • TypeScript (primary)
  • Python
  • Next.js / React
  • Node.js
  • Bash / Shell scripting

Auth & Security

  • Apple Sign-In
  • Google OAuth
  • Firebase Auth
  • OAuth 2.0 / PKCE
  • OWASP security patterns

Data & DevOps

  • Firestore / NoSQL
  • Playwright browser automation
  • MCP servers
  • Git-based governance
  • OTA updates (Expo)
Thought Leadership

41 Published Articles

Writing at the intersection of AI strategy, autonomous systems, and organizational design.

The Markdown-Defined Company

Memory Moat: Institutional AI Memory

The Latency of Decision

Agentic AI & The Digital Workforce

AI Automation: Where to Start

Custom AI vs. Off-the-Shelf

ROI of AI Automation

Ethical AI & Trust as Architecture

Read all articles
Advisory Services

What I Bring to Engagements

Every recommendation is something I've already built. No slide decks without substance. No theory without production evidence.

1

AI Strategy & Roadmap

Assess where AI creates real value in your business, not where it’s hype. Practical roadmaps with measurable milestones.

2

Multi-Agent System Design

Architecture, governance, and rollout planning for autonomous AI systems. How to make agents that fail safely and improve over time.

3

AI-Native Product Development

From concept through app store submission. Full-stack technical advisory for teams building AI-first products.

4

Automation Audit

Identify manual processes that can be automated with AI. Prioritized by ROI, implemented with your existing stack.

5

AI Governance & Safety

Circuit breakers, confidence gating, oversight patterns, and audit trails. Making autonomous systems that executives can trust.

Let's Build Something Real

Whether you need AI strategy, multi-agent architecture, or hands-on implementation — I've already done it. Let's talk about your challenge.