2026-27
Prove the model in Sikeston: real internal tools, built for real local businesses, at prices only agentic AI makes possible.
psychology About AutoNateAI
AutoNateAI builds AI systems for Southeast Missouri businesses.
AutoNateAI is an AI consulting and development studio — Nathan Baker builds real internal tools for real Southeast Missouri organizations, and trains teams to build and run that capability themselves, starting in Sikeston.
AutoNateAI is Southeast Missouri's AI and development service provider.
AI skills aren't only for technology companies. Missouri's 2026 Technology2030 report found more than 223,000 Missourians already work in technology occupations, many of them outside traditional tech companies. Agentic AI is what makes that capability affordable at a local-business scale: AutoNateAI researches a real workflow, architects the system, and builds it — either directly through Consulting, or by training your own team to build it through a requested engagement.
That practice is not hypothetical. Every engagement — and every free weekly Industry Build Lab — builds toward a real internal tool for a real organization. The Discord keeps that same discipline moving every day in between, and the free course library is open to anyone sharpening the fundamentals on their own.
apartment World-Class Experience. Local Investment.
Now applying that experience locally — starting in Sikeston.
Nathan built software and AI systems across the University of Michigan, Microsoft, Citi, Veterans United, and Atomic Object, working inside organizations where clarity, reliability, and communication matter. That's not a résumé to be impressed by — it's capability now being reinvested close to home, priced for a Southeast Missouri business, not an enterprise vendor contract.
auto_stories The Free Digital Courses
The same mission, told as a story: meet Nate and Kai.
The four free digital courses follow Nate and Kai, two builders founding a studio from a meetup back room to a real, shipped system, learning JavaScript, AI agents, databases, and civic tech along the way. It's the same engineering practice this page describes, just easier to actually finish reading.
timeline Starting in Sikeston. Built to Grow Regionally.
The five-year vision.
Next
Expand consulting, requested team training, and the Industry Build Labs across Southeast Missouri as demand grows.
Long term
Become the region's standing AI and development partner — the first call when a local business needs a real system built.
verified Why the work is different
Built from real engineering work, not generic coding practice.
For the last five years, Nathan has designed software systems, AI workflows, and software architectures used inside organizations where clarity, reliability, and communication matter — most recently as Senior Software Consultant and Developer at Atomic Object. AutoNateAI turns those same engineering methods into what it delivers for clients.
Before founding AutoNateAI, Nathan also taught Computer Security at the University of Michigan as an instructional aide, leading office hours, lab sections, and mentoring students through software security, networking, and systems problems.
University of Michigan
B.S. Computer Science and Computer Security instructional aide
Microsoft Security
Software developer experience on systems people depend on
Citi
Engineering work inside financial technology environments
Veterans United
AI software engineering for real organizational workflows
Atomic Object
Senior software consulting across products, teams, and architecture decisions
Outlier
Prompt engineering and AI workflow evaluation before it became mainstream
school How We Work
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Technology changes. Engineering judgment lasts.
Every engagement reads the environment first, designs before changing code, uses AI with context, tests the result, and explains the tradeoffs behind every decision — whether AutoNateAI builds it or your team does.
Architecture
Turn mechanics, components, state, and constraints into a system you can explain.
Debugging
Find the real cause of broken behavior by reading logs, state, and what the system visibly does.
Git workflows
Save strategy experiments, read diffs, recover working versions, and document design decisions.
AI collaboration
Use AI to plan and review changes while staying responsible for the architecture and final explanation.
groups Engineering and education work
Experience across classrooms, companies, and technical training spaces.
AutoNateAI's work is shaped by engineering practice, teaching, workshops, outreach, and technology initiatives involving universities, companies, and community programs. The focus is not logos. The focus is helping builders think clearly, use AI responsibly, and prove their decisions through working systems.
Grand Valley State UniversityBlack Boys CodeSalesforceMicrosoftEndless OpportunitiesChurchesCommunity OrganizationsYouth Education Initiatives
diamond Values
The standards behind the work.
Curiosity
Builders should leave with sharper questions about how a system behaves, not just answers about syntax.
Systems
We teach builders to see inputs, state, feedback loops, constraints, tradeoffs, and failure modes.
Integrity
AI is powerful, but builders still need to understand, test, explain, and own their work.
Creation
The goal is to build, battle-test, reflect, and improve, not passively consume technology.
Let's build something your team can actually run.
I grew up fascinated with technology because it gave me a way to turn ideas into something real. Over time, working across Microsoft, financial technology, AI, and consulting at Atomic Object reinforced one lesson: the strongest engineers are not just the people who can write code. They are the people who can understand a system, and explain it clearly to the people depending on it.
AutoNateAI exists because Southeast Missouri businesses deserve access to that same caliber of engineering — not a generic SaaS platform, not an enterprise vendor contract, but a real system built for how your organization actually works, priced for a business your size. Agentic AI is what finally makes that math work.
If you have a workflow eating your team's time, or want your own people capable of building the next one, I would love to build with you.
Nathan BakerFounder, AutoNateAI
help FAQ
Common questions
Do you build it, or train us to build it?
Both are on the table. Consulting means AutoNateAI researches, architects, and builds the tool for you. Requested team training means your own people learn to build it themselves, over a 4-day on-site engagement.
How does AI fit into the work?
Every build uses agents like Claude Code and Codex to plan features, inspect code, explain errors, and review tradeoffs. AI speeds up the work, but it doesn't replace understanding — every engagement stays reviewed and explainable.
Why is this more affordable than I'd expect?
Agentic AI collapses the distance between architecture and working software. Work that used to require a full in-house engineering team can now be scoped, built, and delivered by a much smaller one — and that savings gets passed on.
Who is this for?
Any Southeast Missouri business, school, or nonprofit with a real workflow that's eating staff time — plus anyone who wants to sharpen their own technical skills through the free course library.
local_activity Ready to Talk?
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Bring us a real workflow.
Whether you want AutoNateAI to build it, want your team trained to build it, or just want to see how it's done first — every path starts with a conversation.