Documentation
Everything you need to build powerful AI workflows with Neuron Workflows. From basics to advanced automation.
What is Neuron Workflows?
Neuron Workflows is a visual AI workflow builder that lets you create powerful automated processes without writing code. Build complex AI pipelines by connecting neurons – intelligent processing units that can read, process, and generate content using advanced AI models.
AI-Powered
Leverage state-of-the-art AI models for text, image, and audio processing.
Visual Builder
Drag, drop, and connect. No coding required to build complex workflows.
Automation
Schedule workflows, trigger on events, and integrate with external services.
Getting Started
Create Your First Workflow
From the dashboard, click "Blank Workflow" to open the visual canvas, or use "Describe to Create" to let AI generate a complete workflow from your text description.
Add Your First Neuron
Click the "+" button in the sidebar's Neurons tab to add a neuron to the canvas. Each neuron is an independent AI processing unit that is automatically positioned.
Configure the Neuron
Each neuron has labeled folder tabs (START, GET, DO, MAKE, SEND) along the top. Click the gear icon on any tab or click directly on a section to configure inputs, AI instructions, output type, and destinations.
Run and Iterate
Click the play button (START) to run the neuron. Use "Play" for a single neuron or "Play All" to run an entire chain of connected neurons. Review outputs and refine as needed.
Understanding Neurons
A Neuron is the fundamental building block of your workflow. Think of it as an intelligent worker that can:
- Accept various types of input data (text, PDFs, images, audio, audio recordings, tables) with optional input queues for batch processing
- Process that data using AI according to your instructions
- Generate outputs in different formats (text, images, audio, tables, or decision-based conditional branching)
- Send results to other neurons via bridges, email, WhatsApp, SMS, API webhooks, or store to table documents
Neuron Architecture
Each neuron has five main components shown as folder tabs along the top: START (triggers), GET (inputs), DO (AI processing), MAKE (outputs), and SEND (destinations). Each tab includes a gear icon to open its configuration panel.
Workflow Canvas
The canvas is your visual workspace where you design and build workflows. It provides an infinite, zoomable area to organize your neurons and connections.
Navigation
- Pan: Click and drag on empty space
- Zoom: Scroll or use the bottom-right zoom controls
- Mode: Switch between mouse and trackpad interaction modes
- Reset: Click reset button to center the view
Sidebar (3 Tabs)
- Neurons: View neurons organized in flow groups, run/stop, rename, and reorder via drag-and-drop
- Docs: Create and manage reusable documents (tables, PDFs) shared across neurons
- Help: Access interactive guides and documentation
Neuron Components
START - Trigger
The START node triggers the neuron to execute. Use 'Play' to run just this neuron, or 'Play All' to execute the entire connected chain. You can also schedule automated runs with countdown timers.
GET - Input Data
The GET node defines what data enters the neuron. Add text, upload files, connect tables, or link bridges from other neurons. Enable an input queue to batch-process multiple items in sequence.
DO - AI Instructions
The DO node is where you write instructions for the AI. Tell it what to do with the input data - summarize, analyze, translate, extract information, generate content, or any custom task. The more specific, the better the results.
- • "Summarize this document in 3 bullet points"
- • "Extract all email addresses and phone numbers"
- • "Translate this text to Spanish"
- • "Generate a professional response to this email"
MAKE - Generate Output
The MAKE node produces the final output. Choose your output type and click the corresponding icon to generate results. Decision output enables conditional branching to different neurons.
SEND - Route Output
The SEND node routes outputs to one or more destinations. Enable destinations by clicking them to build multi-step processing chains.
Supported Data Types
Text
Plain text, rich text, and formatted content
PDF Documents
Extract and process PDF content
Images
Process and generate images
Audio Files
Transcribe and generate audio
Audio Recording
Record audio directly in the app
Tables
Structured data input and output
Decision
Conditional branching based on AI output
Bridges
Connect neuron workflows together
Bridges & Connections
Bridges are connections between neurons that pass output from one neuron as input to another. This creates powerful processing chains where data flows through multiple AI operations.
Creating a Bridge
- 1. In the first neuron's SEND section, click "Neuron Out" to create a bridge
- 2. Select or create a new neuron to connect to
- 3. In the second neuron's GET section, select the bridge as an input source
- 4. The output from the first neuron will automatically flow to the second
Pro Tip
Use bridges to break complex tasks into smaller steps. For example: Neuron 1 extracts data → Neuron 2 analyzes it → Neuron 3 formats the results → Neuron 4 sends via email.
Documents
Documents are reusable data sources that can be shared across multiple neurons in a workflow. Instead of uploading the same file to multiple neurons, upload it once as a document and reference it wherever needed.
Benefits
- • Reuse files across multiple neurons
- • Centralized document management
- • Easier updates and version control
- • Supports tables, PDFs, and more
How to Use
- • Click "Add" in Documents sidebar
- • Upload or create your document
- • Reference it in neuron GET nodes
- • Update once, changes reflect everywhere
Best Practices
Clear Instructions
Write specific, detailed AI instructions in the DO node. The more context you provide, the better the results.
Modular Design
Break complex workflows into smaller neurons. Each neuron should handle one specific task.
Test Iteratively
Run neurons individually to test each step before connecting them. This makes debugging easier.
Use Documents
For files used by multiple neurons, create documents instead of uploading repeatedly.
Workflow Examples
Document Summarizer
Upload a PDF → Extract text → Summarize key points → Send summary via email or WhatsApp
Content Generator
Input topic → Generate blog post → Create social media snippets → Generate cover image
Data Extraction Pipeline
Upload invoices → Extract data → Populate table → Send to accounting system via webhook
Multi-Language Support Bot
Receive message → Detect language → Translate to English → Generate response → Translate back → Send
Lead Qualification Router
Receive inquiry → Analyze intent and budget → Decision branch → Route high-value leads to sales email, others to auto-response
Batch Document Processor
Queue multiple PDFs in a single input → Process each sequentially → Extract data → Store results to a table document
Ready to Build Your First Workflow?
Start creating powerful AI workflows today. No coding required, unlimited possibilities.