Design controlled studies, build AI chat interfaces, collect interaction data, and advance our collective understanding of conversational AI.
For Researchers
From study design to data collection, Gricea provides a complete toolkit for conversational AI research.
Visual flow builder with within-subject and between-subject designs. Drag-and-drop study orchestration with randomization, branching, and logic.
Build LLM chat interfaces with bias manipulation, RAG-based context retrieval, and streaming responses. Full control over conversational dynamics.
Participant management, granular event logging, and interaction analytics. Track every message, click, and behavioral signal.
Share studies with the community, use others' work as templates, and build on collective research. Open science by default.
Community
Browse public studies, try out different AI interfaces, and get inspired for your next experiment. The community hub is where researchers share and collaborate.
Explore research studies shared by the community. See how others design experiments and interact with AI.
Experience various versions of AI chat interfaces. Compare designs, interaction patterns, and conversational styles.
Fork any public study as a starting point for your own research. Build on the work of others.
Donate your conversation data to help the research community understand how people interact with AI. Share your experiences along with a short demographics survey to help build a more inclusive understanding of conversational AI.
Your contributions help researchers study real-world AI interactions and build better, more equitable systems.
Share your AI chat logs with descriptions of what worked and what didn't.
A brief, optional survey to help contextualize your contributions.
Your data directly contributes to research on making AI more helpful and fair.
Published papers, research findings, and AI literacy resources — all powered by data and experiments from the Gricea platform.
Papers and findings from studies conducted on the platform, contributing to our understanding of human-AI interaction.
See what researchers are testing — from echo chamber effects to conversational design patterns.
Educational content about conversational AI, built from real data and research findings on the platform.