> ## Documentation Index
> Fetch the complete documentation index at: https://docs.apers.app/llms.txt
> Use this file to discover all available pages before exploring further.

# Sub-Chats

> Learn how sub-chats work within a deal

A deal can contain many sub-chats. Each sub-chat is a separate conversation, but they all share the same Data Room.

## How Sub-Chats Work

* Each sub-chat is its own conversation with Apers
* All sub-chats can access files in the deal's Data Room
* All sub-chats can use the deal's attached Playbooks

## Chat Isolation

<Warning>
  Chats are siloed. Chat A cannot directly reference Chat B.
</Warning>

This is intentional. It prevents cross-conversation contamination and keeps your analysis clean.

**Why this matters:**

* Each chat stays focused on its task
* No confusion from mixing different analyses
* Cleaner context for Apers to work with

## Sharing Information Between Chats

Even though chats can't directly talk to each other, you can still pass information between them using the Data Room.

<Steps>
  <Step title="Export from Chat A">
    In your first chat, ask Apers to export results to the Data Room. For example: "Export this market research summary to the Data Room."
  </Step>

  <Step title="Start Chat B">
    Create a new sub-chat.
  </Step>

  <Step title="Reference the export">
    In the new chat, tell Apers to use the exported file. For example: "Use the market research file to build a proforma."
  </Step>
</Steps>

## Example Workflow

<Steps>
  <Step title="Research in Subchat 1">
    Conduct market research to understand market assumptions. Export your findings to the Data Room.
  </Step>

  <Step title="Model in Subchat 2">
    Start a new subchat. Build a proforma using the exported market research.
  </Step>

  <Step title="Review in Subchat 3">
    Start another subchat. Run an error check on the proforma you created.
  </Step>
</Steps>

<Info>
  This approach lets you work beyond typical context window limitations—essential for complex real estate deals.
</Info>

## Managing Chat Sessions

You can manage your sub-chats to keep your workspace organized:

* **Rename a chat** — Click the chat name to edit it
* **Delete a chat** — Remove chats you no longer need from the side panel

## Saving Chat Output

Apers lets you save valuable chat responses for later use:

|                      | Description                                                        |
| -------------------- | ------------------------------------------------------------------ |
| **Save as Document** | Export the full chat history as an HTML document to your Data Room |
| **Save as Markdown** | Save a specific AI response as a markdown file in your Data Room   |

This makes it easy to preserve research findings, summaries, or analysis without copying and pasting.

## Web Search

Apers can search the web during your conversation to find current information. Simply ask a question that requires up-to-date data, and Apers will search and incorporate the results into its response.

**Examples:**

* "What are current cap rates in the Austin multifamily market?"
* "Find recent comparable sales for industrial properties in Dallas"

## Eco Mode

Toggle **Eco Mode** to keep working without spending credits. Eco Mode uses a lighter AI model that works well for straightforward tasks like formatting, simple lookups, and basic questions.

<Tip>
  Use Eco Mode for routine tasks and switch back to standard mode for complex analysis and modeling.
</Tip>