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25 changes: 5 additions & 20 deletions fern/workflows/overview.mdx
Original file line number Diff line number Diff line change
Expand Up @@ -41,30 +41,15 @@ The Conversation Node is the default type of node. It's highly configurable and
<img src="../static/images/workflows/workflows-conversation-node.png" alt="Create workflow interface" />
</Frame>

```yaml title="First Message"
Specify the initial spoken message when entering the node
```

```yaml title="Prompt"
Detailed instructions guiding agent responses and conversation direction
```
**Configuration options**

```yaml title="Model/Voice/Transcriber"
Individual AI model, voice, and transcription configuration
```

```yaml title="Extract Variables"
Gather variables from conversation using liquid syntax {{ variable_name }}
```
* **First Message**: Specify the initial spoken message when entering the node. This configuration is helpful if developers want the agent to speak first without waiting for user to say something.

The prompt is the most important part of the Conversation Node. Building reliable and high-quality voice agents heavily depend on the quality of the prompt supplied.
* **Prompt**: Provide detailed instructions guiding agent responses and conversation direction, including response style and content. The prompt is the most important part of the Conversation Node. Building reliable and high-quality voice agents heavily depend on the quality of the prompt supplied.

Extract Variables lets users gather/extract variables from a conversation. These variables can be used as dynamic variables for the rest of the workflow via liquid syntax `{{ variable_name }}`.
* **Model/Voice/Transcriber Settings**: Individually configure the AI model, voice, and transcription services per node. This is similar to configuring Single Prompt Assistants.

Variables can be configured by:
- Defining variable name and data type (String, Number, Boolean, Integer)
- Writing a clear extraction prompt (a description of the variable to help determine how/what data to extract)
- Setting enums for String-type variables to constrain values (to map to a specific set)
* **Extract Variables**: Extract Variables lets users gather/extract variables from a conversation. These variables can be used as dynamic variables for the rest of the workflow via liquid syntax `{{ variable_name }}`. Variables can be configured by defining variable name and data type (String, Number, Boolean, Integer), writing a clear extraction prompt, and setting enums for String-type variables to constrain values.

<Frame>
<img src="../static/images/workflows/workflows-extract-node.png" alt="Create workflow interface" width="250" />
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