Reconceptualizes human-agent interaction as dynamically generated software rather than just chat.
March 24, 2026
Original Paper
Software as Content: Dynamic Applications as the Human-Agent Interaction Layer
arXiv · 2603.21334
The Takeaway
Moving beyond the constraints of a chat box, the 'Software as Content' paradigm generates task-specific UI affordances that evolve over time. This solves the high entropy and state-management issues inherent in natural language interfaces for complex, structured tasks.
From the abstract
Chat-based natural language interfaces have emerged as the dominant paradigm for human-agent interaction, yet they fundamentally constrain engagement with structured information and complex tasks. We identify three inherent limitations: the mismatch between structured data and linear text, the high entropy of unconstrained natural language input, and the lack of persistent, evolving interaction state. We introduce Software as Content (SaC), a paradigm in which dynamically generated agentic appli