AI changed the build-versus-buy math. For thirty years, renting generic software was the rational choice. It isn't anymore. We embed with your team and build the systems your operation actually needs — yours outright, fully documented, no subscription.
For thirty years, renting software was the rational choice. Building your own meant hiring developers, waiting a year, and carrying maintenance you couldn't afford. So organizations rented — and bent their operations to fit tools built for everyone and no one.
AI collapsed the cost of building. What took a team a year now takes a small studio a season. The economics have inverted: for a widening set of operational problems, owning purpose-built software costs less than renting generic software. In the first year — not the tenth.
Renting always charged you in other currencies, too. Your data in someone else's database. Your workflow shaped by someone else's roadmap. Per-seat pricing that taxes your growth. Those costs were tolerable when ownership was out of reach. It isn't anymore.
We think the next decade belongs to organizations that own their operational stack. We build it with them.
The software, the data, the documentation. Your database lives in your accounts, under your API keys, on your billing. If we ever part ways, nothing leaves with us.
No strategy decks. We work inside your operation — your meetings, your tools, your data — and build against how work actually moves, not how the org chart says it should.
Before writing code, we diagram your infrastructure, your information flows, and your operating protocol. The map alone changes how you run: most organizations have never seen their whole operation on one page.
Every system ships with an owner's manual — plain-language documentation your team can run with. Keep us as a partner if you want one. Walk away if you don't. Either way, it's yours.
We join your operation. Sit in the meetings, watch the handoffs, learn where the real work happens — and where it leaks.
Infrastructure, information flows, and protocol on a single systems map. Yours to keep, whatever happens next.
In production, with your team using the system as it grows. Automation where it pays. AI where it's genuinely better — nowhere it isn't.
Documentation, training, your accounts, your code. Most clients keep us on retainer. Some run it themselves. Both are wins.
Their industry buys lead lists everyone else already has. We built an engine that reads Florida county public records directly — property, court, tax, lien, and many more — scoring distress signals across owner records in multiple counties, refreshed automatically, run from a live operations dashboard their team uses daily. They own the engine, the data, and the edge.
An AI-powered affordable-housing search used by the Austin community and the City of Austin — income-qualified listings, plain-language chat, analytics for partner organizations. Built custom, owned by the mission. Experience the tool →
Thousands of listings · 20+ data points each · recognized by the City of AustinA children's charity processing hundreds of assistance applications per cycle. We turned a 317-form intake into automated exports, merge datasets, and acuity scoring their small team runs without us.
317 forms → one pipelineAs vegetarians who meal prep, we wanted to reduce the tedious weekly process of creating grocery lists and shopping. We built VegBatch for ourselves, but are sharing it with the world. Pick a recipe, scale it to the week, and the grocery list writes itself: every ingredient resolved to a common unit and rounded to what you can actually buy, so "two carrots" and "a cup, chopped" add up to one line instead of two. Built as a public good and given away — free, no ads, no account needed, and it works in the shop with no signal. vegbatch.com →
254 recipes · 508 canonical ingredients · works offlineA school dismissal process that ran on clipboards and shouting now runs on a system the front office owns.
A community foundation asked us to show its nonprofit partners what AI can do for a low-tech organization. We led a workshop on operationalizing AI — how to save hundreds of labor hours a week without an engineering team — then followed up with attendees one-on-one to work through their real use cases.
A boutique maker of one-of-a-kind chunky chenille blankets, taken from blank page to live storefront. We built the identity — name, logo, palette — then a store designed for inventory where every piece is unique: secure Square checkout, automated order routing, no monthly platform fees, nothing for the maker to maintain. hearthandknot.com →
Serverless storefront · $0/mo platform feesDigital infrastructure for self-sovereign communities — transparent governance, collective economic coordination, meaningful participation. Tributary was the primary architect: design, full-stack development, and smart-contract architecture, built from the ground up. spiritdao.org →
A machine-learning prediction tool for serious Poshmark resellers — sell probability, time-to-sale, live market intelligence before you list. We designed and built the whole platform: data architecture, a six-step ML pipeline trained on 50,000+ marketplace data points, the interface, and the brand. poshiq.app →
50,000+ data points · 6-step ML pipeline
The convictions behind the practice. Written once, standing until proven wrong.
I.Why AI inverted the build-vs-buy math — and what owning your operational stack actually means.
No one has the map. Why we diagram infrastructure, information flows, and protocol before writing code.
Custom software without documentation is a trap. Handoff is the goal — here's what that takes.
Embedding means you work with us — the people on this page, in your meetings. Not a rotating bench.
Founder with an exit, best-selling author, full-stack developer, and nonprofit executive. Ron maps the systems and writes the code.
Award-winning designer turned engineer, specializing in user experience and creative strategy — making sure technology serves people, not the other way around.
A no-cost, no-obligation conversation. We'll tell you honestly whether this fits — and if it doesn't, we'll say so.