In addition to its powerful real-time Generative AI capabilities, Rayven.io offers an advanced option to embed Generative AI outputs directly into app widgets.
Rayven.io now allows users to embed Generative AI outputs directly into app widgets, transforming interfaces with real-time, intelligent recommendations. By integrating AI-generated content into tables, HTML nodes, emails, SMS messages, and other outputs, organizations can deliver human-like insights at the exact point where users need them—within the app.
Key Feature: Embedding AI in App Widgets
Generative AI is no longer limited to backend processing or standalone logic nodes. With widget integration, AI-generated outputs can be surfaced across the entire app interface—enabling dynamic, context-aware interactions for operators, analysts, and decision-makers.
Supported Widgets
Table Nodes
Display AI outputs such as recommendations, risk scores, or next-step actions directly within a structured table format. Each row or column can include tailored AI insights next to live operational data.
HTML Nodes
Use HTML widgets to present AI-generated narratives, summaries, or suggestions. This is ideal for embedding free-form responses or dynamic reports into dashboards or performance screens.
Email and SMS Nodes
Automatically generate and send natural language summaries, instructions, or alerts via email and SMS. Personalized messaging is created from AI outputs using real-time or historical workflow data.
Output Nodes
Any standard output node in Rayven.io can process Generative AI outputs. This includes external APIs, logs, alerts, file exports, or system-level actions.
How It Works
Step 1: Push AI Output into the Workflow
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Configure the Generative AI Node using OpenAI credentials.
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Define a prompt that includes relevant data from tables, files, or workflow variables.
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Run the prompt, generating AI output (e.g., recommendations, summaries, forecasts).
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Capture the response as a workflow variable or write it to a table for downstream use.
Step 2: Route AI Output to App Widgets
After the AI generates its output, it can be directed to any part of the application interface:
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For Table Nodes:
Bind AI-generated text to specific fields in a table, such as “Next Best Action” or “Predicted Outcome”. -
For HTML Nodes:
Use dynamic variables or text blocks to insert free-text responses, narratives, or decision support messages. -
For Email/SMS Nodes:
Auto-generate user-specific messages and alerts based on the latest AI insight and send them based on conditions (e.g., equipment status, thresholds exceeded).
Example Use Cases
Operational Dashboards
Display recommendations such as:
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“Reduce drill cycle time by 6% by optimizing blasting sequence.”
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“Recommend moving Loader 2 to Pit B based on current cycle distribution.”
These are embedded in table rows or HTML reports shown to supervisors.
Personalized Notifications
Generate and send contextual alerts such as:
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“Your asset shows signs of impending failure—schedule maintenance within 48 hours.”
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“Forecasted power demand exceeds baseline—consider activating backup systems.”
Sent via Email or SMS nodes, triggered automatically.
Summary and Report Widgets
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Create a live HTML panel summarizing shift outcomes:
“Shift 3 achieved 92% efficiency. Major delays: haul truck queuing. No critical faults logged.” -
Embed daily or weekly summaries directly on executive dashboards.
Benefits of Generative AI in Widgets
Seamless Integration
AI content appears naturally in existing views—users don’t need to navigate to separate systems.
Real-Time Intelligence
AI-generated recommendations are based on current workflow inputs, ensuring insights are timely and relevant.
Context-Aware Personalization
Outputs are tailored to each asset, event, or user—creating specific, useful messages.
Workflow-Driven Automation
AI logic runs as part of Rayven workflows, automatically generating and distributing insights without manual intervention.
Conclusion
Rayven.io’s ability to embed Generative AI into app widgets enables organizations to surface actionable intelligence directly in their operations. By connecting AI outputs to tables, HTML panels, and communication nodes, businesses can enhance decision-making, improve user experience, and automate responses across their digital operations.
This integration makes Generative AI a core part of how users interact with applications—transforming data into decisions, and workflows into intelligent systems
Q&A
Q: What data can be used in a Generative AI prompt within Rayven?
A: You can include values from workflow variables, data tables, external systems, or uploaded files. Rayven allows dynamic prompt construction using live data to generate context-aware AI outputs.
Q: Can AI output be shown in a specific table column?
A: Yes. You can map the Generative AI output directly to a column in a Table Node. For example, you can display recommendations, summaries, or classifications for each row.
Q: How do I insert AI-generated text into an HTML Node?
A: Use variable binding or dynamic content blocks to insert the AI output into your HTML widget. The content is automatically updated based on the workflow execution context.
Q: Can AI outputs be different for each user or session?
A: Yes. You can personalize prompts based on user group, session variables, or input conditions. This allows the Generative AI output to adapt to the current user or scenario.
Q: Is it possible to send AI-generated messages via email or SMS?
A: Absolutely. Rayven’s Email and SMS nodes can be configured to use the output from the Generative AI node, allowing fully personalized, data-driven messages to be sent automatically.
Q: Can I store the Generative AI output in a data table for later use?
A: Yes. The AI response can be written into internal tables, allowing you to archive it, use it in reports, or trigger future actions based on its content.
Q: How often is the AI output updated?
A: Outputs are generated dynamically each time the workflow runs, so the content always reflects the latest data and context unless explicitly cached or stored.
Q: Do I need coding skills to implement Generative AI in widgets?
A: No. Rayven uses a no-code/low-code interface. You can configure the Generative AI node and connect it to widgets using the workflow builder and standard app components.
Q: What’s the best way to test AI responses before pushing them to a live widget?
A: Use Rayven’s test environment or preview mode in workflows. You can test the prompt with real data and review the output before routing it to production-facing widgets.
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