The episode opens with Taylor Phillips setting the table on AI and tools in a practical way: what they are, how they are used, and why the starting point should be the problem you are trying to solve, not the technology itself. That carries into the full conversation with Nick Horob, who joins Evan and Kristjan to discuss farm software, AI, and the difference between building something interesting and building something useful. Farms do not need more disconnected tools. They need better ways to see their numbers, manage information, and make decisions with less friction.

The conversation pushes past the broad excitement around AI and gets into where it can actually help. Nick talks about large language models, hallucinations, trusted sources, custom GPTs, and the importance of starting with the outcome before building anything. Whether it is equipment knowledge, grain marketing, SOPs, invoicing, or field-level financial decisions, the value comes from using AI with guardrails and farm-specific context.

When the cost of building software keeps falling, the harder skill is knowing what should be built in the first place. For farm leaders already acting as the human router between employees, managers, advisors, accountants, and data systems, AI has potential but only when it is tied to better decisions, clearer workflows, and a farm that is easier to run.