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To overcome the tooling gap in studying complex agentic coordination, Pairit provides an open platform that orchestrates live, multi-party human-AI experiments through a single declarative YAML configuration. While current frameworks separate real-time chat from active tool manipulation, Pairit enables server-hosted agents and humans to concurrently communicate, negotiate, and manipulate shared workspaces within an auditable execution graph. Validated across published empirical deployments, the infrastructure successfully captures high-resolution, synchronous behavioral traces of interactive dyads across dynamic routing, matchmaking, and task execution.
Running live, reproducible experiments on human-AI teams—spanning joint tool use, negotiation, and real-time chat—no longer requires brittle custom web stacks, collapsing complex multi-agent organizational protocols into a single declarative configuration file.
Organizational design in the era of artificial intelligence requires experimental methods that can test how human-AI groups coordinate, delegate, and make decisions. Programmable platforms coordinate live human-to-human sessions or real-time human-AI chat, but researchers cannot easily declare experiment protocols in which AI participants both communicate and act on shared work within one auditable configuration. Here we introduce Pairit, an online platform that facilitates the design, testing, and deployment of experiments that test human-AI organizational designs and interventions. Through a single YAML configuration file, researchers declare an executable experiment graph (pages, routing, randomization, matchmaking, chat, shared workspaces, server-hosted agents, surveys, timers, and custom HTML components) and combine any number of humans and AI agents in live sessions. We have validated the feasibility of the platform through multiple live deployments, including peer-reviewed published studies, capturing high-resolution process traces of communication, negotiation, and collaborative work in live human-AI dyads. By representing complex interactive protocols as standardized, auditable configuration files, Pairit provides reusable infrastructure for specifying, deploying, and sharing live human-AI organizational experiments.