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You’re Not Thinking Big Enough: Rebuilding Food Systems from First Principles with AI Agents

Conference Context

Session Description

Most of the AI world is still thinking too small. We’re building SaaS wrappers and GTM agents while real-world systems are still run through fragmented knowledge, delayed feedback, and human guesswork. In this talk, I’ll show how I’m building an outdoor agentic system for pasture-raised livestock operations using LLMs, a Firecrawl-curated knowledge base, drone and satellite imagery, and geo collars to monitor pasture, guide animal movement, and support better decisions across cattle, sheep, poultry, and more. I’ll cover the architecture, retrieval and grounding, human approval loops, and what broke first: hallucinated confidence, weak environmental grounding, sparse evals, and the gap between a smart answer and a safe action. It’s a case study in building agents for the physical world, and a broader argument that AI’s real upside is in rethinking real-world systems from first principles.

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Synthesized Breakdown

You’re Not Thinking Big Enough: Rebuilding Food Systems from First Principles with AI Agents ## Conference Context - Date/time: 2026-06-29 · 2:25pm-2:45pm - Track/room: Vision & OCR · Track 2 - Speaker(s): Cody Menefee - Session type/status: sponsor · confirmed - Track: Vision & OCR - Room: Track 2 - Session type: sponsor - Status: confirmed ## Session Description Most of the AI world is still thinking too small. We’re building SaaS wrappers and GTM agents while real-world systems are still run through fragmented knowledge, delayed feedback, and human guesswork. In this talk, I’ll show how I’m building an outdoor agentic system for pasture-raised livestock operations using LLMs, a Firecrawl-curated knowledge base, drone and satellite imagery, and geo collars to monitor pasture, guide animal movement, and support better decisions across cattle, sheep, poultry, and more. I’ll cover the architecture, retrieval and grounding, human approval loops, and what broke first: hallucinated confidence, weak environmental grounding, sparse evals, and the gap between a smart answer and a safe action.

Speaker And Company Context

Topics Covered

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Novel Concepts / Clever Methods

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