The Solo Software Factory

While you're hiring a dev team,
I already shipped the system.

One operator. No team. I build AI-powered systems that replace entire manual workflows — what used to take 20 developers and 6 months, now delivered in weeks. Production-grade.

Build It For Me → Use Project Launcher → The Builder Cohort → Take the 60-second AI Audit →

"I put 120x.ai in next year's budget before we even finished the first project. The work is incredible."

Derek Drake — CEO, DriveShop

"Every week on our management call, more than one person brings up how awesome this is going to be. This is the best thing you've done for us. Unreal."

Dave Morck — DriveShop

"You know how to code, you know how to talk business, and you've got the Marine Corps discipline. That combination doesn't exist anywhere else I've looked."

Rob — Private Equity Director

The Thesis

The way companies build software is a relic of a world that no longer exists.

For decades: need software? Hire a team. Need it faster? Hire more. The entire industry assumes software requires headcount.

That assumption is now wrong.

The bottleneck was never writing code. It was the craftsmen model itself — slow, expensive, and impossible to scale.

AI changed what's possible. But AI alone isn't enough. A language model can generate code — it can't sit in your boardroom and understand why your scheduling process is bleeding six hours a day. It can't read a construction blueprint and know which takeoff numbers actually matter. It can't challenge your requirements because it's never been the executive approving the budget.

That's what 120x.ai is. Not AI-as-a-service. A solo software factory — one person with a computer science foundation, three decades of aviation discipline, executive leadership experience, and AI as the multiplier. Someone who understands your business problem first, then builds the system that eliminates it.

Not an agency. Not a freelancer with a ChatGPT subscription.

A factory of one. And the factory is open.

The Factory Floor

Four stages. Intent in, system out.

01 — REFINERY

Distill the Intent

I learn your business before I touch a keyboard. What's costing you time, money, or people.

Requirements
02 — FOUNDRY

Architect the System

Full system design reviewed before a single line of code. Like filing a flight plan before takeoff.

Blueprint
03 — ASSEMBLY

Build with Precision

AI-accelerated development against the blueprint. Every module tested against real data.

Working System
04 — VALIDATION

Prove the Result

Real users, real data, measured against your existing process. If it can't beat manual, it doesn't ship.

Measured ROI
Results

35+ systems shipped across 7 industries. Here's a sample.

Every project started with a manual process someone was tired of. Every one shipped in weeks.

Automotive Media — 3 Systems, 1 Client, They Keep Coming Back

Built three enterprise systems for the same company. They put us in next year's budget before the first project was finished.

Media Monitoring

15 people scanned websites all day tracking car reviews. Now AI processes 600+ clips overnight, scores sentiment, and measures brand alignment — for ~$2/day.

Fleet Scheduling

14 offices scheduled thousands of vehicles to media by gut feel — all day, every day. Now mathematically optimized in 20 seconds.

Event Estimation

$15.4M in event budgets lived in scattered spreadsheets. Now an AI-powered platform trained on 988 historical events recommends scope and flags gaps.

15 people → 1 system All-day manual → 20 sec 600+ clips/night 988 events training AI 3rd project, same client
Construction

Estimators spent 3-4 days counting symbols on drawings by hand. Now AI reads the blueprints in 60 seconds.

Custom takeoff system that scans electrical drawing sets, identifies every fixture and device, applies the contractor's own business rules, and generates a complete material list. 97% accuracy against a senior estimator.

3-4 days → 60 sec 97% accuracy Custom business rules
Finance Ops

Every quarter they hired temps for 2-3 weeks of data entry. Now it runs in under 5 minutes.

Automation platform that processes 600+ rebate files per quarter — detects format variations, normalizes suppliers with fuzzy matching, applies business rules, and generates accounting-ready exports. Zero import failures.

2-3 weeks → 5 min 600+ files/quarter Zero import errors No temps needed
Construction

Sales reps spent an hour per bid wrestling a legacy spreadsheet. Now they quote from the field in 10 minutes.

Mobile quoting app for a roofing/fencing/concrete GC bidding multifamily properties. Reps build quotes on their phone — even offline — snap photos, and it syncs with their CRM and Sage Intacct.

45-60 min → 10-15 min Works offline CRM + Intacct sync
Construction

GCs spent 2+ hours writing scope sheets after every walkthrough. Now AI builds them from any format in minutes.

Upload a walkthrough video, voice memo, photos, or typed notes — AI generates a complete scope sheet organized by trade division with risk flags and decision points. Built to eliminate scope disputes.

2+ hours → minutes Video, audio, photos, or text 19 trade divisions
Construction / AI Product

Construction crews Googled codes, guessed at schedules, and missed contract landmines. Five AI agents fix that.

Mobile AI suite for union construction workers — rewrite field notes professionally, scan contracts for risk, search codes with citations, compare submittals, and generate lookahead schedules. Distributed through a national training network.

5 AI agents Mobile-first PWA National distribution
Local Business / Community

A chamber managed listings and ads by hand in a clunky CMS. Now one dashboard runs everything.

Admin system for a community directory app. Premium businesses auto-rotate to the top daily. Ad banners managed with scheduling, rotation, and click-through tracking. New advertiser pays, ad goes live same day.

Auto-rotating listings Ad analytics Same-day fulfillment
Aerospace & Defense

AI systems that work inside the compliance boundary. No data leaves the dome.

Defense contractors need AI but can't use commercial tools with controlled information. I architect AI automation on CMMC-compliant infrastructure so the data never leaves the boundary. Same speed, same results, inside the dome.

CMMC 2.0 Azure GCC High NIST 800-171 ITAR Compliant CUI Protected

Most AI consultants have never operated inside a government cloud environment. Most CMMC consultants have never built AI systems. I sit at the intersection.

Azure OpenAI inside GCC High. Role-based access. Full audit logging. SSP-documented. Every interaction traceable. Your assessor sees a clean story.

The Pattern Library

Ten patterns. Executed across seven industries.

The library is what makes the next build faster. New problems map to known patterns — and the playbook is already written.

01

Spreadsheet → System

Excel chaos becomes structured data, validation, and clean exports.

02

AI Document Extraction

PDFs, scans, and forms become structured data with human review.

03

Workflow → Dashboard

Manual approval flows become role-aware dashboards with audit trails.

04

Scope & Estimate

Field notes and drawings become structured scopes and bid comparisons.

05

Media Monitoring

Earned media discovery, AI scoring, and approved-clip exports.

06

Scheduling & Optimization

Constraint-heavy planning replaced by optimization engines.

07

Voice & Conversation AI

Calls and meetings become structured outcomes and follow-up tasks.

08

Document Generation

Structured data becomes polished Word, PDF, and Excel deliverables.

09

Project Operating System

Architect/Builder folders that make AI-assisted builds repeatable.

10

Operator Transformation

Messy owner workflows turned into internal software systems.

Built First. Then Productized.

The Architect / Builder Method was extracted from real 120x.ai builds.

The Architect / Builder Method was not invented as a course.

It was extracted from the way 120x.ai actually builds internal software systems for real business workflows.

Over the last 18 months, the same pattern kept showing up:

A spreadsheet-heavy process became a structured system.
A manual approval workflow became a role-aware dashboard.
A pile of documents became an AI-assisted review queue.
A recurring reporting package became a validated data pipeline.
A messy operational process became a project folder a Builder could execute.

The pattern was clear: before the code, there had to be architecture.

The business problem had to be defined. The workflow had to be mapped. The users and roles had to be clear. The data sources had to be understood. The edge cases had to be surfaced. The validation criteria had to be written down.

The Builder needed a folder, not a conversation.

I still use this method to build custom systems for clients. Now I am opening a small founding beta for operators who want to learn how to use the same method on one workflow of their own.

Project Launcher

Start AI software projects with a real folder, not a vague prompt.

Project Launcher is the lightweight tool I use to get an Architect / Builder project started correctly before Claude Code, Codex, Cursor, or Lovable touches the build.

It turns a messy app idea into a structured project folder with the planning files, sprint area, docs, and handoff prompts your Builder needs to stop guessing.

See Project Launcher → Watch the Demo →
Generated Project Folder
planning/STATE.mdCurrent State
planning/DECISIONS.mdHouse Rules
requirements.mdWhat / Why
blueprint.mdHow
acceptance.mdDone Means
handoff-prompt.mdBuilder Ready
The Operator

Not a freelancer with a ChatGPT subscription.

01 — FOUNDATION

BS in Computer Science

Algorithms, architecture, system design. I understand why systems work — not just how to prompt them.

02 — DISCIPLINE

33 Years Aviation

Marine Corps. American Airlines. Checklists, zero-tolerance for shortcuts, calm under pressure.

03 — BUSINESS

Executive Leadership

I've been the person approving the budget. I speak the language of the people writing the checks.

04 — ADOPTION

Leadership Coach

I've coached executives through change. Building the system is half the job — getting the org to use it is the other half.

Ray Richards, Founder of 120x.ai
Ray Richards
Founder, 120x.ai

Why It Works

Most AI consultants can prompt. Some can code. Almost none have sat in the boardroom, managed the P&L, or led the team that has to live with the system after it ships.

I've done all of it. BS in Computer Science. Three decades flying for the Marine Corps and American Airlines. Executive leadership during career transitions. Coaching other executives through organizational change.

That's why clients come back. I don't just build software that works — I build software that gets adopted.
Python FastAPI React PostgreSQL Claude Code Google OR-Tools Supabase Render Azure GCC High
The Builder Cohort · Founding Beta

You don't need a developer.
You need four weeks.

Bring one workflow you already understand. Leave knowing how to build the system to fix it — using the same AI tools the senior engineers use.

For operators who refuse to keep waiting on developers and SaaS that almost-but-not-quite fits.

10 seatsfounding cohort
4 weeksworking sprint
$2,000founding beta price
1:1 with Raydirect access
▶ See exactly how I work — watch the 52-min methodology walkthrough →
See the full program → Apply Now
Choose Your Path

You have a workflow that should probably become software.

If you want 120x.ai to build it, book a discovery call.

If you want to start your own Architect / Builder project, use Project Launcher.

If you want guided support, join the Builder Cohort. If you are still exploring, start with the free Operators Kit.

Not sure where your business is leaking hours? Take the free 60-second AI audit and find out.

Build It For Me → Use Project Launcher → The Builder Cohort → Free 60-Second AI Audit → Free Operator's Kit ↓
Free Operator's Kit

The method, and the folder it runs on.

The complete Architect / Builder methodology, plus the real 120x project folder it runs on. The same operating system 120x.ai uses to ship production internal tools for clients. Free, given in full.

  • The real 120x project folder, empty and ready for your first project
  • Both ways to run it, Classic and Crew, with the commands already inside
  • The full Architect / Builder methodology, in writing
  • Why most AI builds fail, and the discipline that fixes it
  • A worked example: a real client build, start to finish

The 120x Operator's Kit

The complete method, the project folder it runs on, and a real worked example. Free, delivered to your inbox.

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