I build software with AI and break down the process so non-technical founders can build better products.
First-hand examples, walkthroughs, and clear explanations that help founders, solo builders, and product managers understand how AI-driven development actually works and how to use it to ship faster and cleaner.
The Age of the Builder
We're entering the Age of the Builder. Just as YouTube democratized creation and ushered in the Age of the Influencer, no-code, low-code, and AI-driven coding tools are doing the same for software. Anyone can now build, which means we'll see an explosion of both brilliance and noise. I share my process openly, showing how I validate ideas, build first versions, and create scalable foundations while keeping scope and complexity in check, so founders can reach the point where hiring developers becomes a multiplier for growth instead of a requirement for getting started.
About Me
I'm a builder at heart. You'll usually find me tinkering with something, exercising, cooking, or listening to an audiobook. I started my career as a developer but shifted into technical product management, which I've done for the last seven years. My career has been spent in startup incubators or startups spun out of them. I now use low- and no-code tools to build my own software and show my process so non-technical founders can see a clear path to creating their own products.
Current Projects
These are the products and prototypes I've shipped or am actively tinkering on now.
AssMan.ai
AI Assistant Manager for the Football Manager series that analyzes tactics and players from screenshots.
What I Built:
- •Interactive tactic analysis from a single screenshot with direct, actionable feedback
- •Interactive player analysis that breaks down attributes and gives clear role, usage, and training recommendations
Built With:
Lovable, React, TypeScript, Tailwind, Supabase (Postgres, Auth, Storage, Edge Functions), OpenAI, GA4, PostHog, Google Ads + AdSense
Traction:
105,046 website visitors · 125 user accounts created · 1,848 tactics analyzed · 445 player analyzed · 5,704 AI chats
Product Alignment Prototype
Keeps documentation updated with less effort, improving clarity and alignment across product, engineering, and customer-facing teams.
What I Built:
- •Version-controlled documentation workspace with GitHub-style proposals, reviews, and approval flows
- •Suggested updates to documentation based on completed Jira issues and product changes
- •Structured editor with rich formatting, reusable components, and change history
- •Suggested Release notes generation based on documentation changes
Built With:
Lovable, React, TypeScript, Tailwind, Supabase (Postgres, Auth, Edge Functions, Storage, RLS), OpenAI, TipTap, PostHog
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Product Validation Check
Returns time to solo builders by replacing long, exhausting research cycles with fast, targeted expert validation.
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Experience
AndGo by Goodyear
Senior Technical Product Manager
2020 – 2025
Led initiatives across product, engineering, and operations for Goodyear's fleet-management platform.
- •Transitioned the business from internal manual scheduling to an on-demand customer-facing experience, growing from a few thousand annual appointments to 521,000 in 2024 and enabling over $96M in service volume across 56,000 active vehicles and 1,600 fleets.
- •Expanded operational reach to 276 locations across 42 U.S. states and the UK, supporting enterprise clients including Amazon, Kinto, and Lyft.
- •Launched rescheduling, inspection, and add-on service flows that preserved an estimated $10M in annual revenue that would otherwise have been lost due to friction or missed opportunities.
Bloom POS
Founding Product Manager + Backend Engineer
2016 – 2020
First member of an incubator team to develop a legally compliant POS and inventory platform for Oregon cannabis retailers.
- •Led early discovery, customer onboarding, and prototyping.
- •Bootstrapped a compliance-focused retail platform from concept to deployment, eventually used in 17 stores and processing over $8M in sales.
- •Developed backend systems for inventory tracking, transaction management, and compliance reporting integrated with state compliance databases.
- •Supported product and engineering teams as the company expanded to a 15-person operation.
Writing and Ideas
I write about building software, whether solo or with small teams, in a way that's easy to understand. My goal is to expose people to practical situations they can learn from while helping them build confidence in core concepts across computer science, database design, and product development. I mix lessons learned and theory, demonstrating them through examples I've experienced or am currently working through to empower people to build not just quickly but properly, and with intention.
December 30, 2025
Building Your Second Feature With AI Tools: When Foundations Get Tested
Proper foundation work in Feature 1 turned Feature 2 into snapping Lego bricks together instead of starting from scratch. How I built the Player Development feature in 3 days using Lovable.
Read more →December 22, 2025
How I Built an AI Tactic Analyzer Using Lovable, Supabase, and OpenAI
A step-by-step breakdown of building AssMan.ai’s AI tactic analyzer using Lovable, Supabase, and OpenAI. Covers prompt design, backend schema decisions, API integration, validation, and cost control for non-technical founders.
Read more →December 10, 2025
Build a Throwaway Prototype First: How I Use Vibe Coding to Avoid Tech Debt
Why I build a throwaway prototype in Lovable before creating the real product. A rapid iteration process that reveals what NOT to build, mitigates tech debt, and lets you explore fast without committing to bad architecture.
Read more →December 6, 2025
How to Validate Product Ideas Using Reddit and ChatGPT Before Building
How I used Reddit and ChatGPT to validate product features before building with no-code tools, including research process, actual data, and prioritization decisions non-technical founders can replicate.
Read more →November 25, 2025
How I Built an AI Product With Lovable.dev (No Code): Full Breakdown, Costs, and Insights
Breaking down how I built my first AI product using Lovable.dev, including architecture, costs, decisions, analytics, and early lessons.
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