Upload CSV datasets and process with multiple AI models simultaneously. Built-in cost estimation, batch APIs, and multi-repetition for inter-rater reliability. Choose from 20+ literature-based templates or create custom annotation tasks.

Visual 3-pane builder. Drag segments and participants from a library onto a timeline canvas, configure properties in the inspector panel. Preview and validate experiments before deploying.

An agentic LLM assistant that co-designs experiments through conversation. Describe what you need — "add a 3-person chat with a mediator bot" — and it configures chambers, segments, triggers, and participant slots. It understands the full experiment model and can scaffold complex designs from a brief description.

Match participants into chatrooms automatically using three strategies. Survey-based assignment groups people by their pre-survey answers. Counterbalancing ensures even distribution across conditions. FIFO matches in queue order for speed.

Run the same experiment with different LLM providers to compare responses. Configure temperature, context window, system prompts, and response logic per agent. Supports GPT-4o, Claude, Gemini, and custom endpoints.

Watch every active session in real time. Get alerts for disconnects, long waits, and drop-outs. Pause, resume, or end individual participant sessions. Export all data as CSV, XLSX, or JSON.

Build sophisticated bot behavior with trigger-response rules. Keywords, regex, timed events, message counts, cross-bot chains, activity timeouts, and more. Triggers can fire conditionally, chain to other triggers, and have cooldowns and probability controls.

Start from pre-built templates or save your own. Public templates go through admin peer review. Browse by experiment type, participant count, and chamber structure. One-click fork to customize.