Introduction to Multi-Agent Workflows
When it comes to complicated business processes with multiple steps, relying on a single AI agent often isn't enough to get quality results. That's where MindPal's multi-agent workflows come into play.
What is a Multi-Agent Workflow?
A multi-agent workflow is a powerful automation system that connects several agents in a step-by-step process, enabling them to pass data and build upon each other's responses.
When to Use Multi-Agent Workflows
While single agents excel at focused tasks, multi-agent workflows provide several key advantages:
- Higher Quality Output: Specialized agents excel at specific tasks, leading to superior results when combined
- Easier Training: Dividing tasks among agents leads to focused instructions and simplifies maintenance
- Flexibility: Well-trained AI agents can be repurposed for various workflows, adapting to different processes
Use Cases of Multi-Agent Workflows
Here's how different departments can leverage multi-agent workflows:
| Department | Use Cases |
|---|---|
| Content Creation | • Blog Post Pipeline (Research → Write → Edit → Optimize) • Social Media Campaign (Ideation → Creation → Review → Schedule) • Video Script Generation (Research → Script → Edit → Format) |
| Customer Service | • Ticket Triage & Resolution • Customer Feedback Analysis • FAQ Generation & Updates • Support Documentation Creation |
| Data Processing | • Data Extraction & Transformation • Document Analysis Pipeline • Report Generation & Distribution • Data Quality Control |
| Business Operations | • Vendor Evaluation Process • Contract Review Pipeline • Project Planning Assistant • Resource Allocation Optimizer |
Components of a Multi-Agent Workflow
A MindPal workflow consists of these core node types:
| Node Type | Description | Use Case |
|---|---|---|
| Human Input | Requests and collects input from human users | When human oversight or decision is needed |
| Agent | A specialized agent focused on executing one specific task | For focused, single-purpose operations |
| Evaluator-Optimizer | Self-evaluates output and iteratively improves until meeting requirements | Quality control and optimization |
| Loop | Automatically performs a task across multiple items | Batch processing and scaling |
| Orchestrator-Worker | Coordinates multiple worker agents for complex tasks | Autonomous planning and execution for unpredicatable processes |
| Subflow | Runs another workflow within the current workflow | Modular and reusable process components |
| Router | Switches between different paths based on logic | Conditional process branching |
| Gate | Enforces stopping conditions to halt workflow | Quality and condition checkpoints |
| Webhook | Sends workflow execution results to external systems | Integration with external tools |
| Payment | Triggers a payment when a node is executed | Monetization and paid services |
What Can You Do with a Multi-Agent Workflow?
Run Workflows within Your Workspace
Workflows can be run in several flexible ways:
| Run Mode | Description |
|---|---|
| Default | Run workflows one set of inputs at a time with real-time results, making it perfect for individual tasks that need immediate feedback. |
| Supervised | Run workflows with full control by reviewing and approving each step before proceeding, with ability to edit responses between steps - ideal for tasks that require constant human oversight. |
| In Background | Process workflows in the background while working on other tasks, with the flexibility to close the window and return later for results, suited for longer-running processes. |
| Bulk Run | Process multiple workflow instances simultaneously by uploading batch inputs for parallel processing, with all results tracked conveniently in the workflow run result table. |
Publish as a Form
Turn your workflow into a form that can be used by anyone outside of MindPal. You can get a link to the form or embed it on your website.