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Oct 20, 2026

From the Farm to a One-Person Software Business: Two Founders Who Built Agriculture Tools with AI

An Illinois farmer and a fourth-generation farm kid each built and launched agriculture software on their own, using AI for the code they could not write. Here is what they did with AI, and what their farm experience gave them that AI could not.

Founders in this article

Two people with farm roots built and launched software products on their own in 2026, using AI for the coding they could not do themselves. One is a working Illinois farmer with a $1.99-a-month maintenance app. The other grew up on a fourth-generation Montana farm and now runs a local-food marketplace as a one-person company.

Neither started with an AI idea. Both started with a problem they had lived on the farm, and used AI to close the gap between knowing the problem and shipping the fix.

This article is for anyone with agricultural experience who wonders whether that path is open to them. We look at what each founder actually did with AI, and then, in a separate section, at what their farm background gave them that AI could not.

Brian Krukewitt: the farmer who built the maintenance app he could not find

Brian Krukewitt farms near Homer, Illinois. He needed one place to track equipment maintenance and his stock of consumable parts such as filters and oil. The apps he tried were built for trucks, cars or construction machinery, and none of them handled both jobs.

He could not code, and a developer quoted him $5,000 to $10,000. Instead he built the app himself with AI and launched FarmGuard Maintenance in January 2026. By July it had around 50 users, according to Farm Progress.

How he used AI

  1. He wrote the spec with AI first. He used AI to turn everything he wanted the app to do into a requirements document.
  2. He built with an AI app builder. He gave that document to Rork, a service that generates mobile apps from a chat, and paid for its monthly credits: about $20 a month at first, $40 to $50 during peak development, then less.
  3. He treated the AI like a collaborator. After each prompt he asks it two follow-ups: "What questions do you have?" and "What suggestions do you have?"
  4. He let testers drive the roadmap. A group of farmers tests the app, and multi-device sync, work orders for employees and fuel tracking were all added from their feedback.

What it became

The app stores serial numbers, hours, maintenance history and warranty details for each machine. It deducts parts automatically as maintenance is logged and warns when stock runs low. Farmers can import an existing inventory spreadsheet, and the app works offline in the field.

As of October 2026, the App Store lists FarmGuard Maintenance as free to download, with full access at $1.99 a month or $19.99 a year. For Krukewitt, it is a second income stream that does not take him off the farm. His second app, FarmSeed Mapper, for seed tags and planting data, is now also listed on the App Store.

Genevieve Priebe: a one-person marketplace for local food

Genevieve Priebe grew up on a fourth-generation farm in Whitefish, Montana, then spent about twenty years as a tech consultant in Seattle, starting at Accenture. When she and her brother took over the family farm, she worked out what it takes to earn a living growing food and concluded it was nearly impossible.

Her answer is Reroot, founded in 2025 and bootstrapped, with one employee: her. It runs a marketplace where independent farmers, ranchers and food makers sell directly to customers, launched with founding partners in the Pacific Northwest. In July 2026 she added a free app that maps more than 50,000 local food producers across the US and parts of Canada.

How she used AI

  • AI wrote all the code. Despite her tech background, she says she has not written a line of code herself.
  • One person instead of a team. By her estimate, what she built solo in about four months would have needed five developers, 18 months and $1.5 million two years earlier.
  • A full commerce stack, not a prototype. The marketplace processes payments through Square and Stripe, manages inventory, fulfillment and analytics, and has sent over 100,000 marketing emails for its sellers.
  • AI built around farm reality. Her patent-pending Walk & Talk tool lets a farmer update an online store by voice while walking the field, even without cell signal. It reconciles those changes with any sales once the phone reconnects.
  • AI in the product, too. As of October 2026, Reroot's site says each producer gets a microsite, email marketing tools and AI-managed campaigns.

She was told repeatedly to find a technical co-founder and chose not to. In her words: "I didn't want to be a founder, but I couldn't walk away from the problem."

What farm experience gave them that AI could not

This section is our analysis, not a claim made by either founder.

AI did the building in both cases. What made the products worth building came from the farm.

  • The exact problem. Krukewitt knew dealers always ask for a serial number and that filters and oil run out mid-season. Priebe knew farmers update stock while walking fields with no signal. Neither detail is something an AI would propose on its own.
  • The first users. Krukewitt's testers are farmers. Priebe launched with founding partner producers in her own region.
  • Realistic economics. A $1.99 app fits a farmer's budget. A marketplace that takes marketing off producers' hands fits people who, as Priebe found, often struggle to turn a profit at all.

The two cases also show two different shapes of a one-person business:

Brian KrukewittGenevieve Priebe
BackgroundWorking farmer, interested in precision agFarm-raised, about 20 years in tech consulting
ProductFarmGuard Maintenance (iPhone app)Reroot (marketplace and discovery app)
How AI was usedSpec written with AI, app built in RorkAll code written with AI, full payments stack
Build costAbout $20 to $50 a month in creditsNot disclosed
Revenue model$1.99/month or $19.99/year subscriptionMarketplace for producers
Role of the businessSide income alongside the farmFull-time company

What you can copy

These are our suggestions, drawn from the two stories.

  1. Start from a chore you already hate. Record-keeping, inventory, compliance paperwork, direct sales. If existing apps are built for another industry, that gap is your opening.
  2. Write the spec before any code. Describe the problem in plain words and ask an AI assistant to turn it into a requirements document, as Krukewitt did. Your field knowledge goes into this document.
  3. Pick a builder that matches your skills. With no coding background, an AI app builder such as Rork. With some technical comfort, an AI coding tool, with the spec as your guide.
  4. Find five testers in your own network. Neighbors, co-ops, farmers you follow online. Their feedback decides what to build next.
  5. Design for the field, not the office. Weak signal, gloves, busy seasons. These constraints are your advantage over developers who have never farmed.

Keep the first version small and price it for farm budgets. Krukewitt's app started as one tool at $1.99 a month and grew feature by feature.

Notes on the numbers

All figures come from published articles, the founders' own statements and public app and product pages, not from verified financial data. Krukewitt's user count and development costs are as of July 2026, Priebe's figures as of August 2026, and prices and product details as of October 2026.

Sources

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