I help founders and product teams turn promising ideas into software that works in the real world, from choosing the right problem to building and integrating the solution.
Led by Austin BurgardBased in St. LouisWorking remotely
Choose the right problemBuild it carefullyIntegrate it with what you haveMake it dependableChoose the right problemBuild it carefullyIntegrate it with what you haveMake it dependable
How I can help
Three kinds of work, often in sequence. Each engagement is scoped to your situation, so we start wherever you are.
1
Identify the right opportunity
Before any code, I look at how the work happens today: the workflows, the data, the constraints, and the people involved. Together we decide whether AI fits, what is feasible, and what success should mean.
What you get
A written assessment of candidate use cases, weighed by value and feasibility
A recommended first project with a defined measure of success
Notes on risks, data requirements, and open questions
2
Build and integrate
I design and build AI features, internal tools, and integrations that connect to the systems you already use. The code is written so your team can read it, run it, and extend it.
What you get
Working software in your repository and your environment
Integrations with your existing product, data, and tools
Regular demos you can try and respond to
3
Make it dependable
A prototype that works once is a starting point. I test it on real devices, add failure handling and cost limits, and write down why we chose what we chose.
What you get
Focused tests and review passes on what actually matters
Fallbacks, logging, and caps on model spend
One-command setup and a handoff note: done, deferred, and why
From a tangle to a system
Illustrative example · Not a client result
As it runs today
Inbox (214)sheet_v4_FINAL.xlsx“Ask Dana?”copy → pastePDF scansre-key into CRM
→
As a system
1Intake · email and forms in one queue
2Draft · a model extracts the fields
3Review · a person approves or corrects
4Record · written to the CRM once
5Measure · errors and cost are logged
How I work
You work with me directly, from the first conversation to the handoff. I build with AI coding agents, and I review and test everything they write before it reaches you.
1
Learn what’s there
Before building, I map how things work today and how others solve it, then write it down so we agree.
2
Plan the smallest version
A short plan. Flags, tables, and services that haven’t earned their place get cut.
3
Build in small, reviewed pieces
Small changes, each reviewed and tried on a real phone or browser. Staging first, then production.
4
Hand off clean
Working code, one-command setup, and a note on what’s done, what’s deferred, and why.
Judgment & responsibility
AI has to earn its place in the system.
Simple beats clever
If a piece isn’t pulling its weight, it comes out. Dead code, unused flags, extra services.
Use it before it ships
I click through the real thing and try to break it. Clunky, jarring, or generic isn’t done.
You stay in control
AI acts when someone clearly asks, keeps a visible log, and every action can be undone.
AI earns its cost
The cheapest model that does the job, providers you can swap, and caps on expensive calls.
Hi, I’m Austin.
I’m a senior product engineer with seven years of experience shipping software: full-stack applications, AI pipelines, and platform infrastructure. On my own time I build iOS apps: Offshelf is live on the App Store, and Almost Dawn is in beta.
I started Sólito to work closely with founders and small teams on problems where careful engineering matters as much as the idea. I like problems that are real, scopes that are honest, and work that is measured.
Experience
Seven years shipping software
Range
Full-stack, AI pipelines, infrastructure
Independent work
One app on the App Store, one in beta
Location
St. Louis, working remotely
What are you working on?
Send me a short note. A few sentences is enough to start, and I read every message myself. It helps to know: