About this episode

Bryan Fields and Chris Guthrie discuss the challenges and considerations of using AI to build software in the cannabis industry.

AI has made software easier than ever to build. That does not mean every internal tool should become the backbone of your business. In this episode, Bryan sits down with Chris Guthrie to break down the growing temptation inside cannabis companies to vibe code internal tools, dashboards, CRMs, ERPs, and operational systems in the name of saving money. The problem is not the first version. The problem is what happens two months later, when a field does not map, the workflow breaks, the person who built it is unavailable, and a production team is now relying on code nobody fully understands. Chris explains the difference between a useful AI-built prototype and an enterprise-grade system that can survive real operators, messy data, security needs, compliance, multiple departments, M&A diligence, and future FDA-style requirements. This conversation covers why descriptive data does not create predictive insight, why Google Sheets to vibe coding can become a path to failure, and why the real AI opportunity starts after the business has clean data, clean processes, and a system strong enough to trust. This episode covers: The weekend build that fails Descriptive data will not predict…

People in this episode

Host: Bryan Fields

Guest: Chris Guthrie

Topics covered

• AI in software development
• internal tools
• data management
• predictive insights
• cannabis industry
• enterprise systems

Keywords

• AI
• software development
• internal tools
• data management
• predictive insights
• cannabis
• enterprise systems

Mentioned in this episode

Organizations: Google, FDA, M&A, cannabis companies

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