AI Methodology
The methodology behind every Growsmith AI agent. Domain expertise codified, grounded in real-time data, and reasoned with compliance-first logic.
Design Principles
Fifteen years of cultivation, compliance, and facility buildout experience encoded into structured knowledge that agents reason over, not generic advice scraped from the internet.
Agents draw on live sensor readings, automation states, and operational data from your facility, so every recommendation is grounded in what is actually happening in your rooms.
Every recommendation is filtered through regulatory requirements for your sector and jurisdiction, with citations to the relevant standards so you can verify before you act.
Each answer includes the reasoning path, data sources, and confidence level. No black boxes, just clear logic you can audit and trust.
Architecture
A Claude-powered conversational agent that answers questions about cultivation, compliance, technology, and operations across every sector, from CEA to livestock to row crops.
Rule-based and AI-triggered automations that act on sensor data, adjusting climate, irrigation, and alerts without human intervention, with every action logged for audit.
A structured repository of SOPs, product data, sensor specifications, and historical outcomes that grounds every agent response in verified, operational knowledge.