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Understanding the AI Text Generation Action

The AI Text Generation action is a powerful tool within your CRM's workflow builder. It uses advanced artificial intelligence to automatically create text-based content, helping you automate communication, generate responses, and process information without manual effort. This action can be triggered by any event in your CRM, such as a form submission, appointment booking, or contact update, and its output can be used in subsequent actions like sending an email or SMS.

How to Configure the AI Text Generation Action

To add this action to a workflow, navigate to your workflow builder, add a trigger, and then find and select the AI Text Generation action from the list of available actions. You will need to configure the following settings:

1. Select an AI Model

Choose from several available AI models. Each model offers a different balance of capability, speed, and cost. The default selection is a fast, efficient model suitable for most tasks, but you can select a different one based on your needs for complexity or creativity.

2. Enter Your Prompt

This is the instruction you give to the AI. Describe exactly what text you want it to generate. For dynamic content, you can insert custom values from your workflow (like a contact's first name or a product title) using merge tags. For example, a prompt could be: "Write a friendly follow-up email to {{contact.first_name}} thanking them for their recent inquiry about our services."

3. Adjust Advanced Settings (Optional)

You can fine-tune the AI's creativity using the Temperature setting. This value ranges from 0.1 to 1.0.

A lower value (e.g., 0.2) makes the AI's output more deterministic, focused, and predictable. This is ideal for formal communications, data extraction, or consistent branding.
A higher value (e.g., 0.8) introduces more randomness and creativity, which can be useful for brainstorming, marketing copy, or generating varied ideas.

Common Use Cases

This action can be integrated into countless automation scenarios. Here are a few practical examples:

Automated Follow-ups: Triggered after a webinar, generate a personalized summary and next-step email for all attendees.
E-commerce Support: After an abandoned cart, generate a persuasive recovery message to send via SMS or email.
Client Onboarding: When a new membership signup occurs, generate a welcome message with tailored onboarding instructions.
Content Creation: Use a form submission to trigger the generation of a social media post draft or a blog outline.
Data Processing: Format raw data from a submission into a structured report or summary.

What Happens Next?

Once the workflow runs, the AI processes your prompt and generates text. The output of this action is stored as a result that can be referenced by other actions in the same workflow using a merge tag. For instance, you can take the generated text and directly insert it into an "Send Email" action, post it to an internal note on a contact's profile, or even use it as input for another AI action.

Note: Usage of certain advanced AI models may incur additional costs. Please refer to your CRM's pricing information for details on AI credits or subscriptions.