Bundles
Action-based groupings of nodes by what you want to accomplish.
Bundles organize nodes by function and action, helping you find the right tool group based on what you want to accomplish.
Quick Navigation
Research Tools
Web search, image search, and data collection capabilities
Sandbox & Development Tools
Code execution, file management, and development environments
Presentation Tools
Template management and slide organization
Data Analysis & Reporting
Excel processing, document generation, and reporting
Bundle Workflows
See practical examples of combining multiple bundles
Integration Patterns
Learn how bundles work together for complex workflows
Architecture Overview
Understand bundle relationships and data flow
Best Practices
Guidelines for selecting and combining bundles
Available Bundles
| Bundle | Description |
|---|---|
| Research Tools | Web search, image search, and data collection |
| Sandbox & Development Tools | AI-safe code execution, file management, and secure development environment |
| Presentation Tools | Create and manage presentations with template support |
| Data Analysis & Reporting | Spreadsheet tools, data visualization, and report generation |
How Bundles Work
Bundles provide an alternative way to find nodes based on the task you want to accomplish, rather than the service type. The same node may appear in multiple bundles.
For example, the Gmail node appears in:
- Email Tools (for sending emails)
- Messaging Tools (for communication)
Bundle Details
Bundle Architecture
Bundle Relationships
Data Flow Architecture
🏗️ Architecture Benefits
Bundles are designed to work together seamlessly:
- Research Tools provide data input for other bundles
- Sandbox Tools serve as the processing engine for all data operations
- Data Analysis bridges raw data and structured output
- Presentation Tools provide final formatting and delivery
Bundle Workflow Examples
💡 Practical Workflows
These examples show real-world combinations of bundles for common business and research tasks.
Cross-Bundle Integrations
🔗 Integration Patterns
Bundle combinations create powerful automation workflows that exceed the capabilities of individual bundles.
Common Integration Patterns
| Integration | Primary Use Case | Benefits |
|---|---|---|
| Research + Data Analysis | Market research reports | Automated data collection → analysis → reporting |
| Sandbox + Data Analysis | Custom data processing | Code execution → Excel processing → document output |
| Data Analysis + Presentation | Business reporting | Excel analysis → template formatting → presentation |
| Research + Sandbox | Automated data pipelines | Web scraping → custom processing → structured output |
| All Four Bundles | Complete research workflows | End-to-end automation from collection to delivery |
Integration Benefits
✨ Synergy Effects
- Automated Workflows: Reduce manual steps between data collection and reporting
- Consistent Processing: Standardized data transformation across all sources
- Scalable Solutions: Handle large datasets through sandbox processing
- Professional Output: Generate polished reports and presentations automatically
Choosing the Right Bundle
🎯 Bundle Selection Guide
Choose bundles based on your primary workflow requirements and combine them for comprehensive solutions.
By Primary Function
| Need | Recommended Bundle | Why This Bundle |
|---|---|---|
| Data Collection | Research Tools | Web search, scraping, and image collection capabilities |
| Code Development | Sandbox & Development Tools | Secure execution environment with file management |
| Excel & Documents | Data Analysis & Reporting | XLSX processing and DOCX generation |
| Presentation Work | Presentation Tools | Template management and slide organization |
By Workflow Complexity
Performance Considerations
⚡ Performance Guidelines
- Start Simple: Begin with single bundles and add complexity gradually
- Data Size: Use Sandbox Tools for processing large datasets (>1000 records)
- Processing Time: Excel analysis and document generation can be resource-intensive
- Memory Usage: Monitor sandbox resource consumption for large file operations
Best Practices
📋 Recommended Practices
- Plan Your Workflow: Map out data flow before selecting bundles
- Test Incrementally: Validate each bundle step before combining
- Use Templates: Leverage document and presentation templates for consistency
- Monitor Resources: Track processing time and memory usage
- Error Handling: Implement validation at each bundle integration point
- Documentation: Document your bundle combinations for reusability
Related Resources
Core Nodes
Explore flow control, triggers, and fundamental workflow building blocks
Integration Nodes
Connect with databases, APIs, messaging systems, and external services
JavaScript Sandbox
Learn about JavaScript execution environment and built-in utilities
Workflow Context
Understand how to access node data, variables, and user information
File Storage Node
Advanced file management with secure uploads and downloads
Python Code Execution
Python scripting with built-in libraries for data processing
JavaScript Code Execution
JavaScript execution with ES5.1 compatibility and built-in functions
Axellero Studio
Development environment and visual builders
Next Steps: Start with Research Tools for data collection, or explore Sandbox & Development Tools for code execution and file management.