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AI factories I have already built. Roles you can check.

Proof stack from the live factories work: real numbers, named systems, Gauntlet and Superbuilders. For people who already heard of me.

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What is an AI Factory?

A factory takes an input and reliably produces an output at scale, at low cost, without a team. A craftsman builds one thing at a time using skill and judgment. A factory builds the same thing a thousand times using systems and machines.

The Craftsman

Skilled. Slow. Expensive. Every output depends on one person's time and judgment. The business doesn't scale. The person does.

  • Output stops when people stop
  • Cost per unit stays high forever
  • Quality depends on who showed up today

The Factory

Deterministic. Fast. Cheap per unit. The same input produces the same output every time. The business scales independently of headcount.

  • Runs 24/7 without a manager
  • Cost per unit drops with volume
  • Quality is enforced by gates, not people

Real numbers from factories I've built

iOS App
Without a factory
$50,000+
6 months
Hire a dev team, write specs, review PRs, QA, submit.
With a factory
$3
4 minutes
Input idea. Factory runs 5 stages. App ships to App Store.
Property Video Reel
Without a factory
$250–500
2–3 days
Hire videographer, edit, write caption, schedule post.
With a factory
$2
8 minutes
Input listing photos. Factory generates branded reel, caption, and post.
Sales Outreach
Without a factory
$8,000/mo
SDR salary
Hire, train, manage a sales rep. Inconsistent output.
With a factory
$0.04/lead
Daily
Factory sources leads, drafts personalized emails, sends, tracks replies.

Three factories every company needs

Most businesses have none of these. The ones that build all three run on infrastructure, not headcount.

01

Build Factory

Produces your product at scale.

Takes a brief or template and outputs a finished, deployable product: an app, content, a marketing asset, software. What used to take a team and weeks now takes a pipeline and minutes.

Examples

  • iOS apps built and shipped to the App Store
  • Chrome extensions built and published
  • Branded video reels from property photos
  • Marketing campaigns from creative briefs
Replaces: A dev team, content team, or creative agency.
02

Sell Factory

Finds and converts customers automatically.

Sources leads that match your ICP, drafts personalized outreach, sends it, tracks replies, and routes interested prospects to your calendar. Runs daily without a sales rep.

Examples

  • Lead sourcing from TREC, Apollo, Instagram, Realtor.com
  • AI-personalized outreach at scale
  • Reply tracking and interest scoring
  • Auto calendar booking for qualified leads
Replaces: A BDR, SDR, or cold email agency.
03

Run Factory

Handles fulfillment and learns to improve.

Takes a customer order, fulfills it, processes payment, sends confirmation, and feeds performance data back into the system so the next run is better. The business runs itself.

Examples

  • Stripe payment processing + fulfillment
  • Performance data ingestion across all units
  • Cross-factory learning and recommendation
  • Nightly improvement cycles, no operator input
Replaces: An ops manager, analyst, and fulfillment team.

Factories I've already built

These are production systems with real outputs. Not demos.

Real Estate Reels Factory
LIVEBuild Factory

Real Estate Reels Factory

Property photos in → branded video reels out.

Takes a listing's photos, generates a branded video reel with captions, music, and watermark, then delivers a posting package for Instagram, TikTok, and YouTube in under 10 minutes per property.

~$2
Cost per reel
8 min
Time per reel
$250–500
Manual equivalent
Open live →
iOS App Factory
LIVEBuild Factory

iOS App Factory

App concept in → App Store listing out.

A five-stage deterministic pipeline: Discovery → Design → Build → Submit → Marketing. Each stage has quality gates that must pass before the next stage begins.

$3
Cost per app
4 min
Time per app
3+
Apps shipped
BusinessFactory infrastructure
LIVESell + Run Factory

BusinessFactory

Five businesses. One autonomous infrastructure.

A single HTTP server that orchestrates lead sourcing, personalized outreach, social posting, payment processing, fulfillment, and order confirmation across five business models on daily cron jobs without a team.

5
Businesses running
50+
Leads sourced/day
Python · Stripe · Supabase
Stack
Gauntlet AI Mopac rebuild
IN PRODUCTIONEnterprise Build

Mopac Software / Gauntlet AI

Rebuilt a bankrupt public company with AI in weeks.

Part of the Gauntlet AI elite engineering fellowship in Austin. Led the AI Campaign Builder and agentic system integration across teams, replacing 15-year-old workflows with multi-agent architecture.

10 days
Rebuild time
Built
Campaign Builder
Netflix 2025
Documentary
Open live →

Superbuilders, Gauntlet, live builds

Named roles and photos from the hub set. No invented logos.

Matt presenting tech dashboards at Gauntlet

Gauntlet AI

Build collab and install work

Residency stills: dashboards, Grok Bot installation work, and build collab on real systems.

Matt in a Gauntlet build collaboration session

Gauntlet AI

Hands-on build sessions

Lab and collaboration stills from the same program. Screens and builds, not stock.

Matt in a tech and systems working session

Role

AI engineer at Superbuilders

Current day job. Marketing systems and AI engineering for Superbuilders.

Photo is from hub tech stills. Superbuilders logo screenshot is not in the set.

Example client site work linked from bargebuilds

Live product

bargebuilds.com

Client websites and build work I ship and maintain.

Open live →

Credential

MoneyGram senior iOS

First iOS engineer

Built the fully transactional, multilingual global iOS app for international money transfers. By the time I left, the app moved more money transfer volume than any other channel.

  • First iOS hire
  • Mission-critical infrastructure
  • Global scale (200+ countries)
  • Enterprise engineering depth

Text credential. No MoneyGram product screenshot in the hub image set.

Social proof

Named and checkable

  • · MoneyGram International (senior iOS)
  • · Superbuilders AI engineer
  • · Gauntlet AI resident
  • · Mopac Software / Campaign Builder
  • · Live: bargebuilds.com
  • · Live: aeo.mattbarge.com
  • · 5 live AI factories

Three ways to work together

From a full factory build to a focused operator consult. Right-sized for where you are.

Most Common
Full Engagement

Factory Build

I design and build your AI factory end-to-end.

You have a production workflow that is expensive, slow, or dependent on headcount. I identify the system to build, architect it, build it, and hand you a running factory. You keep the IP and the infrastructure.

Ideal for: Companies spending $50K+/year on a production bottleneck.
Investment: Typically $25K–$150K depending on complexity.
Focused Engagement

Operator Consulting

A specific factory for a specific problem.

You're an operator with one workflow to automate. You need a machine, not a transformation. I scope it tight, build it fast, and you're running in weeks.

Ideal for: Real estate agents, agency owners, operators with a proven service model.
Investment: Starting at $5,000.
Education

Factory Workshop

I teach your team to build their own.

Half-day or full-day intensive. I walk your team through the factory model, live-build a prototype for your actual workflow, and leave them with architecture patterns to keep going.

Ideal for: Engineering teams and startups building internal AI capability.
Investment: Starting at $2,500 virtual. $5,000+ on-site.

Book a strategy call

Bring the problem. I will bring proof and a next step.

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