Building Persona-Based Agents On Demand: Tailoring Multi-Agent Workflows to User Needs
Researchers propose a pipeline for dynamically generating persona-based AI agents at runtime, moving beyond fixed agent architectures to enable personalized multi-agent workflows. This approach allows agentic platforms to adapt agent roles, coordination patterns, and interaction flows to match individual user characteristics and contextual demands, opening new design paradigms for more flexible AI systems.