Multi-agent reasoning modes
Moderated debates, devil's-advocate pressure tests, expert panels, and scenario lookahead — each mode orchestrates a different team of AI personas on the same problem.
A reasoning platform built around a live conversation graph — not a single chat thread. Here's what ships today.
Moderated debates, devil's-advocate pressure tests, expert panels, and scenario lookahead — each mode orchestrates a different team of AI personas on the same problem.
Every session is a directed graph, not a linear transcript. Fork a branch, roll back, and resume from any node — a hand-built canvas renders the whole tree live.
Routed through LiteLLM: OpenAI, Anthropic, Gemini, Llama, and dozens more. Mix different models across agents in the same session, and bring your own API keys.
Agent output streams over server-sent events as it's generated, so the graph and timeline update token-by-token instead of waiting on a full response.
Every node — including generated podcast scripts and text-to-speech exports — carries its own token and cost figures, rolled up in the analytics view.
Share a read-only link to a reasoning session so teammates can follow the graph without needing an account on your workspace.
Fuzzy search across sessions, nodes, and actions, so you're never more than a keystroke away from the part of the graph you need.
Keep separate sessions, agents, and API keys per profile — useful for splitting personal experiments from team or client work.
Want to see these in action first? Explore reasoning modes on the homepage or create a free account.