Using Gemini to manage a farm

To reclaim his time, Paul built a local, multi-agent AI system using Gemini 3.6 Flash inside Google Antigravity to integrate siloed farm data and calculate daily profitability.

Instead of APIs or web scraping, the system uses a local, directory-based file-interface. When CSV data exports or photos of papers receipts, PDFs, and invoices are saved to a monitored folder, Gemini’s multimodal power extracts and merges visual and numeric metrics — keeping data under Paul’s control.

A specialized multi-agent workflow replaces long prompts with specialized, orchestrated roles:

• Orchestrator: Manages the overall daily workflow.
• Ingestion Agents: Standardize raw files (milking robot exports, feed logs).
• Analysis Agent: Evaluates biological and weather impacts.
• Reporting Agent: Generates clear, natural language summaries.

The system automatically transforms raw files into a cohesive business overview.

Leveling the playing field for small businesses

Ultimately, Paul’s ambition is to empower independent farmers with technology they can use to streamline their operations the same way he has been able to for his own business. Not only is building the tool a hurdle for many, but once they have them, operating at farm scale was a cost challenge that needed to be solved.

The daily agentic workflows that require continuous reasoning, parsing, and tool execution have been too expensive for small businesses like his. Gemini 3.6 Flash helped make Paul’s daily operation more cost-effective.

Designed for advanced reasoning, tool use, and coding, Gemini 3.6 Flash features a 1 million token context window and a 64,000 token maximum output. Benchmark evaluations show it achieves roughly a 17 percent reduction in output tokens compared to Gemini 3.5 Flash, at a lower cost per output token, significantly lowering the cost of running agentic loops.

Measuring success by Static Variable Margin

The system is designed to optimize for Paul’s primary metric: Daily Static Variable Margin (SVM). Unlike traditional metrics like Income Over Feed Cost, which fluctuates with volatile milk and feed prices, SVM holds market prices constant, isolating the true biological and operational efficiency from market noise. This grounds the agentic system in a truth Paul can rely on to give him actionable insights for farm operations.