Written Guides 10
Build Your First AI Workflow
Step-by-step guide to creating your first AI-powered workflow in FlowDot. Learn the editor basics and connect your first nodes.
Customizing the Workflow Dashboard
Learn how to customize your workflow's front-end dashboard. Configure input modes, hide debug outputs, and create user-friendly interfaces.
Setting Up LLM Providers (14+ Options)
Unlock unlimited AI power by connecting your own API keys. Learn about FlowDot's provider system, model tiers, and how to use local AI with Ollama.
User API Keys for External Services
Learn how to securely manage API keys for external services like OpenWeather, Discord, and more. Understand how workflow designers can share or requir...
Copy and Customize Any Workflow
Learn how to copy public workflows, understand provenance tracking, work with variables, and master flow control with toggles and sequences.
AI Agent Setup and Workflow Access
Learn how to enable the AI Agent, give it access to your workflows, and have conversational interactions that execute your automations.
Publishing Workflows and Community Features
Share your workflows with the FlowDot community. Learn about public workflows, ratings, comments, and discovering community creations.
Using the AI Editor Assistant
Let AI help you build workflows. Learn how to use the AI assistant in the editor for suggestions, debugging, and automated workflow creation.
AI Agent Memory System
Teach your AI Agent to remember. Learn how memories work, how to manage them, and how to use them for personalized workflow execution.
Building Custom React Frontends (FlowDot Apps)
Create custom React user interfaces for your workflows. Learn the App Editor, workflow linking, AI-assisted development, and display modes.
What You'll Learn with FlowDot Tutorials
Workflow Automation Basics
- Create your first workflow in under 5 minutes
- Connect nodes to build data processing pipelines
- Use triggers to automate workflows on schedule
- Handle errors and edge cases gracefully
- Test and debug workflows before deployment
AI Integration Techniques
- Connect to OpenAI, Claude, and other AI providers
- Build AI agents that can make decisions
- Use embeddings for semantic search
- Create chatbots with memory and context
- Process documents with AI summarization
Advanced FlowDot Features
- Build custom nodes with JavaScript
- Use MCP (Model Context Protocol) integration
- Create reusable workflow templates
- Deploy workflows via REST API
- Monitor execution logs and performance
Recommended Learning Path
Follow this step-by-step learning path to master FlowDot workflow automation:
Step 1: Getting Started (15 minutes)
- Create your FlowDot account and explore the dashboard
- Complete the interactive Node Editor intro tutorial
- Build your first "Hello World" workflow
Step 2: Core Concepts (30 minutes)
- Understand nodes, connections, and data flow
- Learn about input/output sockets and data types
- Practice with conditional logic and loops
Step 3: AI Integration (45 minutes)
- Configure AI provider API keys in settings
- Create an AI-powered text processing workflow
- Build a simple chatbot with conversation memory
Step 4: Advanced Topics (1-2 hours)
- Create custom nodes with JavaScript code
- Set up scheduled workflow execution
- Deploy workflows via API and MCP integration
Frequently Asked Questions About FlowDot Tutorials
What is the best way to learn FlowDot?
The best way to learn FlowDot is to start with interactive tutorials, which let you build workflows hands-on. Then watch video tutorials for visual guidance, and finally explore written guides for deep dives into advanced topics like custom nodes and API integration.
How long does it take to learn FlowDot?
You can learn the basics of FlowDot in 15-30 minutes. Building proficiency with AI workflows takes 2-3 hours of practice. Mastering advanced features like custom nodes and MCP integration typically requires 5-10 hours of learning and experimentation.
Do I need coding experience to use FlowDot?
No coding experience is required for basic FlowDot workflows. The visual node editor lets you build automations by connecting pre-built nodes. However, JavaScript knowledge is helpful for creating custom nodes and advanced scripting.
Can I build AI applications with FlowDot?
Yes, FlowDot is designed for AI workflow automation. You can connect to OpenAI, Anthropic Claude, Google Gemini, and other AI providers. Build chatbots, document processors, AI agents, and more using visual workflow design.
What is MCP integration in FlowDot?
MCP (Model Context Protocol) is a standard for AI tool integration. FlowDot's MCP support lets you expose your workflows as tools that AI assistants like Claude can use. This enables seamless integration between your automations and AI systems.
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