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Complete guide to AgenticFlow's dual workflow systems - traditional automation and visual workforce builder

New to AgenticFlow? Start with Your First 5 Minutes guide first.

What Makes AgenticFlow Workflows Different?

AgenticFlow has TWO distinct workflow systems for different use cases:

  1. Traditional Workflows - Sequential step-based automation (like Zapier)

  2. Workforce - Visual multi-agent workflow builder with React Flow

This isn't just one workflow builder - it's a complete automation platform with 80+ node types and enterprise-grade features.

System 1: Traditional Workflows (Sequential Automation)

What Are Traditional Workflows?

Linear, step-by-step automations that process data through a sequence of actions:

Real Examples from the Platform:

  • Text processing → AI analysis → Email generation → Send

  • Web scraping → Data extraction → Google Sheets export

  • Image upload → AI enhancement → Background removal → Social media post

  • CSV import → Bulk analysis → Report generation → Notification

Available Node Types (80+ Actual Nodes)

AI & Language Models:

  • openai_ask_assistant - GPT model interactions

  • openai_ask_chat_gpt - Chat completions

  • claude_ask - Anthropic Claude integration

  • gemini_ask - Google's Gemini AI

  • pml_llm - PixelML language models

  • perplexity_search - AI-powered search

  • straico_prompt_completion - Multi-model AI platform

Image Processing:

  • generate_image - AI image generation

  • enhance_image_v2 - Image enhancement

  • face_swap - Face replacement

  • remove_background - Background removal

  • magic_upscale - AI upscaling

  • inpainting - Fill image areas

  • comfyui_gen_image - Custom ComfyUI workflows

Data Operations:

  • web_scraping - HTML content extraction

  • firecrawl_scrape - Advanced web scraping

  • api_call - HTTP API integration

  • google_search - Search integration

  • dataset_import - Data import/export

  • knowledge_retrieval - RAG search

Communication:

  • email_sender - Template-based email

  • telegram_send_message - Telegram integration

  • telegram_send_photo - Media sending

Video & Audio:

  • text_to_speech - Voice generation

  • speech_to_text - Transcription

  • image_to_video - Video creation

  • lipsync - Video lip synchronization

  • youtube_upload - YouTube integration

Integrations:

  • mcp_run_action - Model Context Protocol tools

  • replicate_run_model - Replicate AI models

  • fal_run_model - Fal.ai integration

  • google_sheet_export - Spreadsheet creation

Building a Traditional Workflow

Step 1: Create New Workflow

  1. Click "Workflows" in sidebar

  2. Click "+ Create Workflow"

  3. Choose "Build from Scratch" or Select Template

Step 2: Configure Basic Info

  • Name: Descriptive workflow name

  • Description: What this workflow does

  • Public Settings: Private vs Public runnable/cloneable

📸 Screenshot needed: Workflow creation dialog

Step 3: Build Your Workflow

The Interface:

  • Form-based Builder: Step-by-step configuration

  • Drag-and-Drop Reordering: Rearrange workflow steps

  • Variable System: Use {{variable}} syntax to pass data between steps

  • Real-time Validation: Immediate error checking

Building Process:

  1. Add Input Node: Define what data comes into the workflow

  2. Add Processing Nodes: Choose from 80+ available actions

  3. Configure Each Step: Set parameters using form interfaces

  4. Add Output Node: Define what results are returned

  5. Connect with Variables: Use {{step_name.output}} syntax

📸 Screenshot needed: Traditional workflow builder interface

Step 4: Test Your Workflow

Execution Modes:

  • Single Run: Test with specific inputs

  • Table Run: Bulk processing with CSV data

  • API Execution: Programmatic triggering

  • Scheduled Runs: Time-based automation

Real-time Monitoring:

  • Status Tracking: created | not_started | queued | running | success | failed | cancelled

  • Progress Visualization: See each step's execution state

  • Error Handling: Detailed error messages and retry options

  • Performance Metrics: Execution time and resource usage

📸 Screenshot needed: Workflow execution with real-time progress

System 2: Workforce (Visual Multi-Agent Builder)

What is Workforce?

A visual, node-based workflow builder using React Flow for complex multi-agent scenarios:

Technology:

  • React Flow: Professional node-based editor

  • Flowgram.ai Integration: Advanced layout and collaboration features

  • Real-time Collaboration: Multi-user editing

  • Auto-layout: Intelligent node positioning

Workforce Node Types

WorkforceNode Types:
- WorkforceAgentNode      // AI Agent interactions  
- WorkforceToolNode       // Workflow/tool execution
- WorkforceTriggerNode    // Workflow triggers
- WorkforceStateModifierNode // State management

Connection Types:

  • next_step - Sequential flow

  • condition - Conditional branching

  • ai_condition - AI-powered decisions

Building a Workforce Workflow

Visual Editor Features

  • Drag-and-Drop Canvas: Intuitive node placement

  • Connection System: Visual data flow arrows

  • Real-time Execution Overlay: See execution progress in real-time

  • Keyboard Shortcuts: Power-user productivity features

  • Auto-layout: Automatic node organization

Agent Integration

  • Multiple AI Providers: OpenAI, Claude, Gemini, Perplexity, DeepSeek

  • Tool Orchestration: Agents can use traditional workflows as tools

  • Knowledge Integration: Hybrid search across knowledge bases

  • MCP Client Support: Extended tool capabilities

📸 Screenshot needed: Workforce visual builder with connected nodes

Advanced Workflow Features

Connection System (300+ Integrations)

Connection Categories:

  • AI Services: OpenAI, Claude, Gemini, Replicate, FAL

  • Communication: Email, Slack, Telegram, SMS

  • Data: Google Sheets, Databases, APIs

  • Storage: Cloud storage, file systems

  • Automation: Zapier-like integrations

Authentication Types:

  • OAuth2 (with automatic refresh)

  • API Key authentication

  • Basic authentication

  • Custom authentication headers

Bulk Processing System

Table Workflows:

  • CSV Upload: Process hundreds of rows efficiently

  • Progress Tracking: Real-time progress for bulk operations

  • Error Handling: Failed row identification and retry

  • Parallel Processing: Optimized for large datasets

Performance Features:

  • Queue Management: Efficient job processing

  • Resource Optimization: Dynamic scaling based on load

  • Cache Layer: Redis-based performance optimization

API & Integration Features

REST API Access:

  • Programmatic Control: Full workflow automation via API

  • Webhook Triggers: External system integration

  • Authentication: Multiple auth methods (Basic, Bearer token)

  • Rate Limiting: Built-in API protection

Enterprise Features:

  • Workspace Management: Team-based workflow organization

  • Role-based Access: Granular permission controls

  • Audit Logging: Complete execution history

  • SLA Monitoring: Performance tracking and alerting

Template System

Pre-built Templates: Categories include:

  • Marketing: Content generation, social media automation

  • Data Processing: CSV analysis, web scraping, data enrichment

  • Content Creation: Blog posts, video generation, image processing

  • Analysis: Sentiment analysis, competitive research

  • Communication: Email campaigns, customer support automation

Template Features:

  • One-click Cloning: Duplicate and customize workflows

  • Public Marketplace: Share workflows with community

  • Version Control: Template updates and change tracking

  • Collaboration: Team template libraries

Choosing the Right System

Use Traditional Workflows When:

  • Sequential Processing: Step-by-step data transformation

  • Bulk Operations: Processing large datasets (CSV files)

  • Simple Logic: Linear workflows without complex branching

  • Integration Focus: Connecting multiple services in sequence

  • Scheduled Automation: Time-based recurring tasks

Examples:

  • Email marketing sequences

  • Data processing pipelines

  • Content generation workflows

  • API integrations and data sync

Use Workforce When:

  • Complex Decision Trees: Multiple conditional paths

  • Multi-Agent Scenarios: Different AI specialists for different tasks

  • Real-time Collaboration: Teams building workflows together

  • Visual Complexity: Workflows with many branches and conditions

  • Agent Orchestration: Managing multiple AI agents working together

Examples:

  • Customer service routing (different agents for different issues)

  • Complex analysis workflows (research → analysis → reporting → decision)

  • Multi-step approval processes

  • Dynamic content creation with multiple review stages

Practical Example: Building Your First Workflow

Let's build a "Content Analyzer" that processes text and generates insights:

Traditional Workflow Approach

Steps:

  1. Text Input - User provides content to analyze

  2. Sentiment Analysis - AI determines emotional tone

  3. Key Topics - Extract main themes

  4. Summary Generation - Create concise summary

  5. Action Items - Generate next steps

  6. Email Report - Send results to user

Node Configuration:

Input: Text Content
↓ ({{text_content}})
Sentiment Analysis: OpenAI Ask Assistant
↓ ({{sentiment_analysis.result}})  
Topic Extraction: Claude Ask
↓ ({{topics.result}})
Summary Generation: GPT-4
↓ ({{summary.result}})
Email Generation: Template + Send Email

Testing and Iteration

  1. Start Simple: Build with 2-3 nodes first

  2. Test Each Step: Run individual nodes to verify output

  3. Add Complexity: Gradually add more processing steps

  4. Monitor Performance: Check execution times and costs

  5. Optimize: Adjust model choices and parameters

Cost Management

Credit System (Actual Implementation)

Bucket-Based Credits:

  • Workspace Credits: Shared across team members

  • Expiring Buckets: Subscription credits expire monthly

  • Non-Expiring: Top-up credits persist

  • Automatic Refunds: Failed workflows get credit refunds

Cost Factors:

  • Base Execution: ~4.0 credits per workflow run

  • Node Costs: Different nodes have different pricing

  • Model Costs: GPT-4 more expensive than GPT-3.5

  • External API Calls: Additional costs for third-party services

Cost Optimization:

  • Choose appropriate models for each task

  • Use caching when possible

  • Optimize workflow logic to reduce unnecessary steps

  • Monitor usage in workspace billing dashboard

Troubleshooting Common Issues

Workflow Not Running

  • Check Credits: Ensure workspace has sufficient credits

  • Verify Connections: Ensure all external services are connected

  • Validate Variables: Check variable syntax {{variable_name}}

  • Review Logs: Use execution logs to identify failures

Performance Problems

  • Node Optimization: Choose faster models when appropriate

  • Parallel Processing: Use workforce for concurrent execution

  • Cache Strategy: Implement caching for repeated operations

  • Resource Limits: Monitor timeout settings

Integration Issues

  • Connection Status: Verify OAuth tokens haven't expired

  • API Limits: Check third-party service rate limits

  • Data Format: Ensure data matches expected node input formats

  • Error Handling: Implement proper error handling in workflows

What's Next?

Advanced Features to Explore

  1. MCP Integration: Connect to Model Context Protocol tools

  2. Custom Connections: Build integrations with your internal systems

  3. Webhook Automation: Set up external trigger systems

  4. Bulk Processing: Handle large-scale data operations

  5. Multi-Workflow Orchestration: Chain workflows together

Learning Path

  1. Master Templates: Study pre-built workflows for your industry

  2. Build Progressively: Start simple, add complexity gradually

  3. Join Community: Share workflows and get feedback

  4. Monitor Performance: Use analytics to optimize workflows

  5. Scale Up: Move from single workflows to workflow orchestration

Getting Help & Resources

Community & Support:

🎨 Visual Guides:

  • Visual Workflow Builder Guide - Complete drag-and-drop guide

  • Visual Agent Builder Guide - 11-tab agent configuration

  • Visual Workforce Builder Guide - Multi-agent team orchestration

Related Guides:

  • Agents Quickstart - Build AI assistants

  • MCP Integration - Connect external tools

  • Templates Guide - Use pre-built solutions

🎉 Congratulations! You now understand AgenticFlow's comprehensive workflow system. Whether you need simple sequential automation or complex multi-agent orchestration, you have the tools to build sophisticated business automation.

Questions? Join our Discord community - we're here to help you build amazing workflows!

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