Product engineering, end to end.

AI made code cheap. Knowing what to build is the scarce part. ProductScott pairs 18 years of product and business judgment with AI-accelerated engineering: complete documentation, a working codebase, and a runnable database. In weeks, not months.

18Years
Product and business experience
2–8Weeks
Concept to delivery
$100k+Saved
Average per project
10Docs
Delivered every project

The Problem

Most software fails before a line gets written.

$50k+

Custom builds that stall or fail before they ship

$100–$200/hr

Dev teams billing while figuring out what to build

6–18 mo

What real development takes, while vibe-coded shortcuts collapse into unmaintainable spaghetti within days

What I Do

Two ways to engage.

Greenfield Build

You want to build software that doesn't exist yet.

You have a vision. I engineer it into a complete product: the business case sharpened, every feature specced, the architecture designed, the codebase started, and a mock database your team can run from day one. Your developers inherit a product, not a blank repo.

Full product plan → architecture → codebase → mock database

Problem Solver

You have a specific operational problem to solve.

A bill analyzer, a workflow tool, a custom dashboard. I engineer the right solution for your problem: modeled, documented completely, built to an initial codebase with the database structure in place. Handoff to your team with everything they need to keep going.

Problem model → solution design → codebase → mock database

What You Get

Everything your team needs to start building, not figuring out.

01

Product Documentation

Every feature specced. Every user flow documented. Every edge case considered. Your PM, your dev team, and your AI coding tools all start from one complete source of truth.

02

Working Codebase

A real GitHub repository structured to match the architecture. Not a prototype. A serious starting point your team can run locally and extend from day one.

03

Mock Database

A Supabase database with schema, relationships, and sample data. Your team understands the data model from day one and has a live environment to build against immediately.

04

Technical Architecture

Stack decisions made. Data models designed. File structure defined. Your engineers inherit a thoughtful foundation with every critical decision already documented and reasoned.

The Package

AI-ready. From day one.

Every file is structured to drop directly into Claude Code, Cursor, or any AI coding tool. Your team's AI knows your entire product on day one: the vision, the architecture, the decisions, the design.

This isn't documentation for a shelf. It's a living product brain that makes every developer, human and AI, dramatically more productive from the first session.

GitHub repository + initial codebase
Supabase mock database: schema, relationships, data
project-handoff/
PRD.md

Full product requirements: every feature, user flow, and most edge cases

ARCHITECTURE.md

Tech stack, file structure, and data model decisions

FEATURES.md

Complete feature inventory with detailed breakdowns of each one

PLAN.md

Phased build roadmap: what was scoped and what's already implemented

DESIGN.md

A record of what was built: UI patterns and structure, not full design specs or branding

COPY.md

Placeholder copy throughout, ready to refine with AI

DECISIONS.md

Key architectural decisions with reasoning, captured permanently

SECURITY.md

Security model and RLS policies based on the Supabase backend

GLOSSARY.md

Product terminology for consistent language across the team

CLAUDE.md / AGENTS.md

AI tool context file that loads your entire product brain into Claude Code, Cursor, or any AI coding tool

Process

Four steps. Weeks, not months.

01
Week 1

Scope

We define your problem, map the solution, agree on deliverables, and lock a flat fee. No hourly. No surprises. A project both sides can commit to.

02
Weeks 2–6

Build

I work with AI to engineer your entire product: features, architecture, design system, copy, data model, competitive analysis. The same standard I apply to my own shipped products.

03
Week 6–8

Deliver

You receive the 10-doc package, a GitHub repository, and a live Supabase mock database. Final delivery contingent on final payment.

04
$5k/mo · Optional

Support

Optional 3-month retainer to work directly with your team: architecture guidance, code review, product decisions, roadmap planning.

Case Studies

Built with the same process I sell.

Shipped Product

Iron Brotherhood

Live
In production

A daily discipline app for men, live in production.

ProductScott's own product, engineered end to end and shipped: positioning, brand, content system, free and paid tiers, and an offline-first build. A three-minute daily Stand, 150+ multi-day Battle Plans, and a members-only War Room, live today at ironbrotherhood.app.

Delivered

  • Full product strategy + brand
  • Free tier + subscription model
  • 150+ multi-day content tracks
  • Offline-first architecture
  • Live, revenue-ready product
Greenfield Build

HomeOS

2 months
End-to-end build

An AI-powered homeowner operating system.

A complete product package for a platform that centralizes warranties, maintenance, contractors, and property history. Every feature documented, architecture defined, brand voice established, including HomePassport™, a standalone brand designed to become a category standard.

Delivered

  • Full PRD + feature inventory
  • Next.js + Supabase architecture
  • Realtor-led distribution model
  • HomePassport™ brand strategy
  • Working codebase + mock database
Problem Solver

Theory

6 weeks
Concept to codebase

A cloud product sandbox for non-developers.

Modeled a platform that lets non-technical teams prototype and iterate on cloud product configurations without writing code. Full feature set, role-based permissions, AI-assisted configuration system, and a complete documentation package handed off to a development team.

Delivered

  • Product requirements + user flows
  • Role-based permission model
  • AI-assisted configuration system
  • Complete design system
  • Working codebase + mock database

Pricing

Flat rate. Scoped upfront. No surprises.

Project

$10k – $25k

Flat rate · Project-based

  • Deliverables scoped and agreed upfront
  • 10-doc AI-ready documentation package
  • GitHub repository with initial codebase
  • Supabase mock database + schema
  • 6–8 week delivery
  • Final delivery on final payment
Start a Project

Team Retainer

$5k/month

3-month minimum

  • Monthly working sessions with your team
  • Architecture and product guidance
  • Code review and technical direction
  • Roadmap and prioritization support
  • 3-month minimum engagement
  • Can follow directly from project delivery
Discuss a Retainer

Every project is scoped individually. The fee reflects the size and complexity of what's being built. No hourly billing. You always know what you're paying before we start.

Get a scoping call

Start a Project

Don't be shy, just say hi.

Describe the problem you're trying to solve or the software you want to exist. I'll come back to you with thoughts on scope and fit.

📋
Flat-rate pricing, scoped upfront
6–8 week average delivery
📦
10-doc package + codebase + mock DB