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Delaverse AI Platform v2.0

AI Assistant Node

The cornerstone of intelligent automation in Delaverse. Transform your business processes with AI-driven analysis, content generation, and predictive insights.

Your AI-Powered Automation Engine

The AI Assistant Node is Delaverse's primary node for executing AI-driven tasks, such as generating personalized content, analyzing data, or producing conversational responses. It leverages advanced machine learning models (e.g., Open AI or equivalent) to process inputs and deliver tailored outputs based on user-defined instructions.

This node is versatile, supporting both simple automation for non-technical users and complex integrations for developers, making it a cornerstone of Delaverse's workflows. Think of it as your digital brain that can understand, analyze, and create based on your specific business needs.

Core Functionality

The AI Assistant Node is your Swiss Army knife for intelligent automation, capable of handling diverse tasks across your business operations.

Data Analysis

Processes structured (e.g., Google Sheets) or unstructured (e.g., Google Docs) data to extract insights, such as RFM lead scoring or sales trend analysis.

Common Examples

RFM customer segmentation
Sales performance analysis
Inventory trend forecasting
Customer behavior insights

Content Generation

Produces text-based outputs, including SMS campaigns, social media captions, or WordPress articles, adhering to brand tone and guidelines.

Common Examples

SMS marketing campaigns
Social media content
Blog articles
Product descriptions

Conversational Outputs

Generates responses for interactive channels like Frame Chat or Telegram, enhancing customer or team communication.

Common Examples

Customer support responses
Team notifications
Interactive chat flows
Automated Q&A

Predictive Modeling

Forecasts outcomes, such as sales performance or inventory needs, based on historical data.

Common Examples

Sales forecasting
Inventory predictions
Customer churn analysis
Demand planning

Configuration Guide

Setting up the AI Assistant Node is straightforward. Follow these steps in the Delaverse Playground to get started:

1

Adding the Node

From the right-hand menu, select "Assistant Node" and drag it onto the Playground canvas.
Assign a title reflecting its purpose, e.g., "Lead Analyzer" for lead management or "Content Generator" for social media.
2

Model Selection

Choose a supported AI model (e.g., Open AI).
Delaverse abstracts model complexity, ensuring accessibility for all users.
3

Instruction Setup

Select a pre-built template from the nodes library, such as "Lead Analyzer," "Sales Forecaster," or "SMS Generator."
Alternatively, customize instructions to define the task.
4

Connections

Inputs: Connect nodes like Vector Database (for Google Sheets/Docs) or Request API (for CRM/ERP data).
Outputs: Connect to nodes like Frame Chat, Telegram, or SMS Sender for delivery.
5

Saving Changes

Click "Save Changes" to apply your configuration.
Close the node editor using the top-left "X" button.

Node Appearance

The AI Assistant Node has a distinctive purple design with connection points for input and output:

AI Assistant Node

The AI Assistant Node with its characteristic purple color and OpenAI model indicator

Instruction Components

Every AI Assistant instruction should include these key components for optimal results:

Data Sources

Specify inputs via connected nodes (e.g., Google Sheet ID, Request API)

Task Definition

Describe the goal, e.g., "Analyze customer data using RFM and generate SMS"

Output Format

Define structure, e.g., JSON for SMS or text for Telegram

Tone and Language

Use Persian with a professional or friendly tone, per workflow requirements

Example Instruction: Lead & Customer Management

Here's a complete example instruction for a Lead and Customer Management workflow that demonstrates best practices:

You are an AI assistant for lead and customer management. Your goal is to analyze customer data using the RFM model (Recency, Frequency, Monetary) and classify leads for prioritization.

- Retrieve customer data (name, email, purchase history) from Google Sheet ID: [ID] or Request API.
- Implement RFM:
  - Recency: Score 5 for purchases within 30 days.
  - Frequency: Score 5 for >5 purchases.
  - Monetary: Score 5 for >10M IRR spent.
- Classify leads into categories (e.g., Loyal, Potential, At-Risk).
- Output as JSON: { "customer": "Ali Mohammadi", "email": "ali@example.com", "rfm_score": {"recency": 5, "frequency": 3, "monetary": 4}, "category": "Loyal" }.
- Use Persian, friendly tone.

Key Features of This Instruction:

Clear role definition and goal
Specific data source references
Detailed scoring criteria
Structured JSON output format
Language and tone specification
Example output included

Common Use Cases

See how different businesses leverage the AI Assistant Node for their specific needs:

Lead Management

Analyze customer data → Score leads → Prioritize outreach

Content Marketing

Brand guidelines → Generate content → Distribute via channels

Sales Analytics

Collect sales data → Analyze trends → Generate reports

Customer Support

Receive query → Process context → Generate response

Pro Tips for Maximum Effectiveness

Start with pre-built templates and customize them to your needs
Be specific in your instructions - the more detail, the better the output
Test with sample data before connecting to production systems
Use structured output formats (JSON) for easy integration with other nodes

Ready to Build Your First AI Assistant?

The AI Assistant Node is your gateway to intelligent automation. Whether you're analyzing data, generating content, or building conversational experiences, this powerful node makes it all possible.