How to Utilize Generative AI in Rayven.io

Generative AI in Rayven.io allows users to enhance automation, create intelligent workflows, and build dynamic, human-like responses within your projects.

Use Cases

You can use Generative AI in Rayven.io for:

💬 Conversational AI & Chatbots

• Intelligent support bots that answer customer or operator queries.

• Assistants that guide users through troubleshooting or onboarding.

• Internal helpdesk bots that respond using knowledge from integrated documents and systems.

📝 Automated Document Generation

• Auto-generate PDF reports from workflow data (e.g., maintenance logs, compliance summaries).

• Create customized invoices or purchase orders with AI-filling logic.

• Automatically generate inspection reports from sensor data + human notes.

📥 Smart Form Filling & Data Entry

• Populate form fields dynamically based on sensor input or user interactions.

• Use natural language input to auto-fill structured fields.

• Fill out compliance checklists from AI summaries of system performance.

🧠 Summarization & Explanation

• Summarize long text blocks (e.g., support tickets, machine logs).

• Generate human-readable summaries of complex data streams.

• Convert raw numbers into actionable insights (e.g., "Today's energy use was 18% higher due to HVAC load").

✉️ Communication & Messaging

• Draft operator alerts with context-aware tone and content.

• Automatically write customer-facing updates based on system changes.

• Generate incident escalation messages for internal teams.

📚 Knowledge Management

• Extract FAQs from support tickets or chat logs.

• Auto-tag or categorize documents based on content.

• Generate internal wiki entries or summaries from project metadata.

📊 AI-Powered Dashboards

• Use AI to write dashboard annotations based on live data trends.

• Offer text-based summaries or natural language “quick views” on top of visuals.

🧾 Regulatory & Compliance Support

• Auto-generate audit logs and summaries.

• Create narratives or justifications for compliance reporting.

• Explain operational anomalies in a regulatory-friendly format.

🧩 Content Transformation

• Convert system alerts into polite customer-friendly messages.

• Translate between different formats (e.g., JSON → natural language).

• Rewrite or localize system messages in multiple languages.

How It Works

Step 1: Create a Generative AI Agent

1. Go to the AI Agents section in your project.

2. Click Create New Agent → Choose Generative Agent.

3. Define the input type (structured data, text, JSON, etc.).

4. Add your prompt instructions (e.g., "Summarize this temperature data into a short explanation for an operator").

5. Set the output format (text, HTML, JSON, etc.).

6. Test the prompt and validate the response.

🧠 Tip: You can use Rayven’s built-in AI prompt templates to fast-track setup.

Step 2: Add to a Workflow

1. Open the Workflow Builder.

2. Drag in your Generative AI Agent node.

3. Connect it to the relevant data source or trigger node (e.g. when a status changes, or data exceeds a threshold).

4. Set logic rules to control when the AI is triggered.

5. Connect the output to:

   • Email or Slack notification

   • Dashboard widget

   • API endpoint

   • Database or report system

Step 3: Review and Monitor

• Test your flow in a preview or staging environment.

• Use the Logs tab to review outputs from the AI Agent.

• Adjust the prompt or logic for more accurate responses.

Best Practices

• Be specific with prompts. The clearer the input instructions, the better the AI output.

• Include example data in your prompt for reference.

• Limit frequency of large AI calls to control token usage and cost.

• Secure outputs if you're handling sensitive data or external comms.

Examples

Next Steps

• 👉 Create Your First Generative AI Agent

• 👉 How to Build an AI-Powered Workflow

• 👉 Best Practices for AI Prompt Design

• 👉 Troubleshooting AI Agent Issues