From Fields to AI: Why the Future of Intelligent Systems Isn't About Prompting Anymore

When Johnny Morris was a teenager, he spent his days on building sites watching his father transform derelict monasteries and empty fields into something useful. The work fascinated him, but something fundamental became clear: the sheer capital intensity and risk made it difficult for individuals to succeed independently. So he ran towards technology instead, convinced he could accomplish more with data tools than with bricks and mortar.

Three decades later, Morris has spent his career proving that instinct right. He's built data platforms with Fortune 100 clients, created pricing engines for institutional real estate investors, and spent countless hours wrestling with the same problem: professionals drowning in information trapped inside PDFs and disparate systems.

Yet his latest conviction challenges everything the AI industry is currently obsessed with. The way forward, he argues, isn't about learning to write better prompts or building your own AI system in-house. It's about understanding something far more fundamental: the shift from prompting to what industry insiders are now calling "context engineering". And if you work in professional services, real estate, or any knowledge-intensive field, you should care deeply about what that means.

In this conversation, Johnny, co-founder and chief product officer of Fifth Dimension, discusses the challenges and opportunities of integrating AI into the real estate industry. He emphasises the importance of understanding the hype surrounding in-house AI development, the need for skilled professionals, and the significance of training and change management in successful AI adoption. The discussion also covers the evolution of AI tools, the concept of data liberation, and the future of AI in enhancing decision-making processes within real estate.

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See you soon,

James, Yoshi and Aaron—Project Flux