Use this Boltic workflow template to orchestrate Copilot.Live AI actions with webhook triggers, dynamic branching, and tool-based execution—no code required.
The Copilot.Live AI Tools workflow template lets you integrate AI-powered tools into any Boltic workflow using a visual, no-code interface. It begins with a Webhook Trigger that listens for incoming events, uses a Switch Case node to route logic based on input, and finally invokes Copilot Tool nodes to execute specific AI actions. This structure is ideal for building modular, dynamic automations that respond to real-time payloads without writing backend code.
This template is perfect for teams looking to automate tasks like content generation, data enrichment, or AI-based decision-making. It leverages the power of Copilot.Live’s AI Tools within Boltic’s workflow engine.
For complete setup instructions and node configuration details, refer to the official documentation: https://docs.copilot.live/ai-actions/workflow
How to use this template
Start with the Template – Click “Use Template” in Boltic to clone the workflow.
Set Up Webhook Trigger – Define your endpoint and configure authentication (if needed).
Define Switch Logic – Use the event value in the payload to branch actions (e.g., getreport, sendemail).
Configure Copilot Tools – Add tool name, description, parameters, and surfaces for execution.
Deploy & Test – Send sample payloads to trigger the workflow and verify AI tool execution.
This template helps you build and run workflows that execute Copilot.Live AI tools via Boltic. It enables webhook-based triggering, dynamic logic branching using Switch nodes, and execution of one or more AI tools with no manual coding.
Do I need to write any code to use this template?
No. The entire workflow is built using Boltic’s visual workflow builder. You only need to configure nodes, define payload structure, and set up tool parameters—all without writing code.
What are Copilot Tools in this workflow?
Copilot Tools are AI-driven function nodes that accept structured inputs, execute logic (e.g., generate summaries, fetch data, transform payloads), and return outputs. You can define their metadata, surface visibility, parameters, and execution behavior inside the workflow.
