Conversation is ubiquitous in social life, but the empirical study of this interactive process has been thwarted by tools that are insufficiently modular and unadaptive to researcher needs. To relieve many constraints in conversation research, in the current tutorial, I present an overview and walkthrough of a new tool, Dyadic ( https://www.chatdyadic.com ), a web-based platform for studying human–human and human–artificial intelligence (AI) conversations using text-based or voice-based chats. Dyadic is distinct from other platforms by offering studies with multiple modalities, AI suggestions (e.g., in human–human studies, AI can suggest responses to a participant), live monitoring (e.g., researchers can evaluate chats between communicators in real time), and survey deployment (e.g., Likert-type scales, feeling thermometers, and open-ended text boxes can be sent to humans for in situ evaluations of the interaction), among other consequential features. No coding is required to operate Dyadic directly, and integrations with existing survey and participant-recruitment platforms are offered.