Natural language is quickly becoming our most powerful programming abstraction, perfectly suited to capture the inherent fuzziness and complexity of real-world problems. But despite the power of AI chatbots, endlessly brainstorming in conversational interfaces rarely leads to clarity or reliable results.

This session explores how structured, document-based natural language is uniquely positioned as the ultimate interface for humans to precisely describe complex systems. We'll discuss why conversational interfaces often fail at forcing clarity, and how shifting to a document-driven model ensures that humans articulate their intent clearly and rigorously.

Attendees will learn:

Why natural language (not code) is the most intuitive way to describe complex systems

How documents inherently force clarity, rigor, and structured thinking compared to chatbots

Real-world examples of document-based programming for building reliable, deployable AI systems

Practical insights into transitioning from conversational brainstorming to structured document-driven workflows