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Dialog streams responses as they’re generated, showing you the full research process rather than making you wait for a final answer.

What you see during streaming

When you submit a query, the response builds progressively in three layers:
  • Thinking indicators — The agent’s reasoning process appears as it works through your question, showing how it plans its research approach
  • Tool activity — Real-time notifications when the agent queries data sources, searches communities, or fetches web content
  • Progressive text output — The written response appears sentence by sentence as the agent composes its findings
This transparency means you can follow along as the agent works, not just read a finished result.

The activity panel

The activity panel shows exactly which tools are running at any given moment. You can see what data sources are being queried and review the results each tool returns. This is especially useful for complex queries that pull from multiple sources. Instead of wondering what’s taking time, you can see the agent searching Reddit communities, pulling post data, and cross-referencing findings in real time.

Interrupting a stream

You can stop a running query at any time by clicking the Stop button. When you interrupt a stream:
  • Partial results are captured and saved to your session
  • The agent stops all active tool calls
  • You keep everything generated up to that point
Interrupting is useful when you’ve already spotted the insight you need, or when you want to refine your query before the agent goes further.

Why streaming matters

Traditional research tools make you submit a question and wait. Streaming changes the dynamic in a few important ways:
  • Faster time to insight — You can read findings as they appear, often getting what you need before the full response completes
  • Better follow-ups — Watching the research process helps you frame sharper follow-up questions
  • Transparency — You see exactly where the data comes from, building confidence in the results