Sys · 01
Freight Intelligence
Find the shippers, vet the carriers, move the loads — one stack from raw records to a running TMS.


AI-native product studio
I build AI-native software systems end to end — the owned datasets, the pipelines that keep them fresh, the platforms on top, and the native apps that ride them. Deep in freight and logistics; the pattern travels.
The portfolio
Most shops build the app and rent the data. I build the whole column — the dataset, the pipeline that keeps it fresh, the platform on top, and the native app that rides it. Here are two, running today.
Sys · 01
Find the shippers, vet the carriers, move the loads — one stack from raw records to a running TMS.


Sys · 02
Truck-legal routing that dodges low bridges and works with no signal — on a continental map I own, from Chiapas to Alaska.


More from the studio
Two more, same DNA — a field-service platform that proves the model works beyond freight, and the AI control plane I run all of it from. Every one ships with an MCP server, so an AI can operate it.
Field-service platform
The whole stack for home-services contractors — quoting, scheduling, crews, billing — on web and native mobile, with an AI that drafts quotes from a spoken note.
AI infrastructure ops
The control plane I run everything from. One MCP server: talk to it and it edits DNS, issues TLS certs, fixes email, and reconfigures a live firewall.
Approach
The AI isn't a feature bolted on at the end. It's in the product, the interface, the build, and the stack — engineered for your operation and tested until it holds up in the real world.
In the product
Not a chatbot in the corner — AI built into the real workflow. A crew finishing a job taps once and talks; the estimate writes itself.
Right model · cost + token analysis · tested in production
In the interface
Your software becomes something an AI can operate — a copilot for your team and your customers, in Claude, ChatGPT, or your own app.
Conversational access · scoped · rate-limited
In the build
I don't hand-write code line by line — I direct it, often by voice, and AI writes it. Then AI reviews every line that ships for correctness, security, and best practices — faster, and more thorough than hand-review ever was.
Voice-directed · AI-written · AI-reviewed
In the stack
The datasets, the pipelines, the routing and geocoding, the firewall and mail — all mine to run. No per-seat data rents, no vendor lock-in.
Data · pipelines · routing · firewall · mail
Hardened
Every model integration ships with guardrails, prompt and model testing, and injection defense — so the AI does its job and nothing else, even when someone tries to make it misbehave.
Who’s behind it
I’m Michael Gehring — a developer with 30+ years in software and a CDL-A who ran 49 states hauling arms, ammunition, and explosives for the DoD before spending the last year building AI into operations management systems. I know freight from the cab and from the codebase.
AI, software, and computers are what I do for fun — I stay on the leading edge and use three decades of experience to tell the durable from the hype. Husband and father of three; I lead by example and ship things that work.
Contact
I’m looking for a place to build AI-native software for a company that moves things — and I take on select client work too. Freight and logistics especially. If that’s you, let’s talk.