As AI systems evolve from isolated assistants to networks of autonomous agents, the challenge shifts from model performance to human-agent collaboration design.
UX framework and interaction design for scalable human-agent collaboration across multi-agent AI systems.
Design Strategy, UX Framework Design, Interaction Design, AI System Experience
GenAI, LLM, Multi-Agent Systems
Defined UX principles for human-agent collaboration
Designed interaction patterns for transparent AI decision-making
Enabled scalable UX for multi-agent enterprise systems
Shaping the Human-Agent Experience for the Internet of Agents
Working closely with Cisco Outshift’s innovation team, we helped define how humans interact with emerging multi-agent systems. As autonomous agents become collaborators rather than tools, this initiative focused on designing the missing experience layer that enables humans to work confidently with intelligent agents across complex workflows.
Defining the Behavioral Principles of Human-Agent Collaboration
Our design team worked with Cisco Outshift to establish a set of behavioral design principles that guide how intelligent agents communicate, collaborate, and build trust with users. These principles form the foundation for designing human-agent workflows that remain transparent, controllable, and reliable.
Expanding How Human-Agent Systems Are Measured
Beyond interface design, the collaboration introduced a new way of evaluating agent-driven systems. Instead of focusing only on model accuracy, the framework emphasizes metrics that measure the quality of human-agent collaboration within real workflows.
Designing the HAX Agent for Multi-Agent Collaboration
As agent ecosystems grow more complex, we explored how interactions could be curated automatically. This led to the concept of the HAX Agent, a behavioral intermediary that filters, prioritizes, and adapts communication between multiple agents and human users.
Turning Interaction Principles into a Developer Framework
To help engineering teams implement these interaction patterns consistently, we helped translate the design principles into a structured developer framework. This led to the Agentic Display Interface (ADI) — a schema-based approach that allows agents to communicate through predictable UI components rather than raw text outputs.
Design Strategy, UX Framework Design, Interaction Design, AI System Experience
GenAI, LLM, Multi-Agent Systems
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