FlowDot FAQs - AI Workflow Questions Answered

Agent Toolkits are collections of tools that extend the AI Agent's capabilities. They can contain HTTP tools (call external REST APIs) and Workflow tools (trigger your FlowDot workflows). Install toolkits to give the agent new skills.

Browse the Marketplace in Agent Toolkits, find a toolkit you want, click Install, map the required credentials to your stored API keys, and complete installation. The agent can then use those tools automatically.

Yes! Go to My Toolkits, click Create New Toolkit, add tools (HTTP or Workflow type), define credential requirements, and save. You can keep it private or publish it for others.

The agent reads tool descriptions to understand when to use each tool. Write clear descriptions like "Get current weather for a city" so the agent knows to use it for weather-related questions.

Yes. Your actual API keys are never exposed to the toolkit. The system substitutes values at runtime, and keys are stored encrypted in your account. Toolkit authors never see your credentials.

The AI Agent is a conversational interface that lets you interact with your workflows using natural language. Describe what you want to accomplish, and the agent analyzes your request, selects appropriate workflows, gathers required inputs, and executes them.

In Workflow Settings, toggle "Enable for Agent". The agent uses your workflow's name, description, and tags to understand when to use it, so write these clearly.

The Agent maintains conversation context across multiple interactions, can run multiple workflows in sequence based on your goals, asks clarifying questions when needed, and adapts based on your responses.

Yes! Install Agent Toolkits to give the agent access to external APIs and services. When you chat with the agent, it automatically decides which tools to use based on your request.

The Agent is available on the web platform, through the FlowDot CLI, and via external integrations like Discord, Slack, and Microsoft Teams when configured.

Visit the platform, click Sign Up, and register with email/password or use Google/GitHub OAuth for quick signup.

Yes! OAuth login is supported for both Google and GitHub accounts for convenient single sign-on.

Go to Security Settings, click Enable 2FA, scan the QR code with an authenticator app (like Google Authenticator or Authy), enter the verification code, and save your recovery codes in a safe place.

Use the "Forgot Password" link on the login page to receive a reset email.

Go to account settings and look for the delete account option. This action is permanent, cannot be undone, and removes all data per GDPR compliance.

Open your workflow in the editor, go to Settings (gear icon), toggle "Make workflow public", and save. Your workflow appears in the Public Workflow Browser for everyone to discover.

Input presets are saved configurations of workflow inputs that you can share with others. They're useful for creating test cases, sharing common configurations, and documenting how to use workflows.

After running a workflow, click "Share Results" to create a public link. Add an optional title and description, set expiration (never to 1 year), and copy the URL. Anyone with the link can view the results without running the workflow.

Upvote (thumbs up) adds +1, downvote (thumbs down) adds -1 to content scores. Click the same button again to remove your vote. You can vote on public workflows, comments, shared results, and input presets. You must be logged in to vote.

In Workflow Settings, you can see the copy count showing how many times your workflow has been copied. Original creators get credit, and copy chains track derivatives.

Custom nodes let you extend FlowDot with your own logic written in JavaScript. You define inputs, outputs, and a processData function that transforms data however you need.

Go to Custom Nodes, click Create New, define inputs and outputs with their data types (text, number, boolean, json, array, any), write your JavaScript processData function, and save. The node becomes available in your workflow palette.

Yes! Enable LLM capability when creating the node. Users will see model selection buttons, and your script can use llm.call({ prompt, systemPrompt, temperature, maxTokens }) to make AI requests.

Yes! Set your custom node visibility to Public to list it in the marketplace. Others can search, install, and use your nodes. You can also keep nodes Private or Unlisted (accessible via direct link only).

FlowDot Apps are custom React applications you can build that use your workflows as backends. They let you create polished user interfaces for your automations without separate hosting.

Basic React knowledge helps, but FlowDot Apps use a simplified environment with React 18 available globally (just use React.useState, etc.) and Tailwind CSS for styling. No imports or exports needed.

Use the link_app_workflow function to connect workflows to your app. Then call invokeWorkflow('workflow-hash', { inputs }) from your app code to execute workflows and get results.

Yes! Set your app to public visibility to list it in the FlowDot app marketplace. Others can discover, use, and clone your apps.

Three modes: **Windowed** (standard view with FlowDot header), **Fullscreen** (full viewport with minimal floating controls), and **Embedded** (no FlowDot UI, for iframe embedding).

FlowDot is a visual workflow automation platform that lets you create AI-powered automations without coding. You can build workflows using drag-and-drop nodes, execute them through multiple interfaces (web, mobile, CLI), and integrate with popular services like Discord, Slack, GitHub, and more.

Workflows are visual sequences of connected actions (nodes) that automate tasks. They help by combining multiple AI models and services to accomplish complex tasks automatically - from data processing to content generation to app integrations.

No coding required! FlowDot's visual editor uses drag-and-drop nodes. Advanced users can create custom nodes with JavaScript or use the API, but the core platform is designed for no-code automation.

**Editor**: Create and modify workflows visually with the drag-and-drop canvas (web only). **Workflow Runner**: Execute finished workflows with a streamlined interface showing inputs and outputs. **Agent**: Run multiple workflows conversationally using natural language.

FlowDot offers four tiers: **Free** ($0 - 5 executions/day, 5K tokens/day), **Creator** ($9/month - 1,000 executions/month, 250K tokens/hour), **Pro** ($29/month - 5,000 executions/month, 5M tokens/month), and **Business** ($100/month - 25,000 executions/month, 20M tokens/month). Yearly billing saves ~17-20%. Details at https://flowdot.ai/subscriptions

Yes! The Free tier includes 5 daily workflow executions, 5,000 FlowDot Internal tokens per day, the visual workflow editor, agent interface, public workflow browsing, apps access, and the ability to use your own API keys for unlimited LLM usage. Premium features like scheduling, integrations, teams, and analytics unlock at the Creator tier ($9/month).

A modern web browser with JavaScript enabled (Chrome, Firefox, Safari, Edge), a stable internet connection, and 4GB RAM minimum. The browser must support WebSocket and FileAPI.

Sign up, navigate to the Editor, drag nodes from the palette onto the canvas, connect them by clicking output ports and dragging to input ports, configure each node's settings in the Properties Panel, then save and run your workflow.

Yes! Browse the Public Workflow Browser to find community-shared workflows. You can search by keyword, filter by AI-enabled workflows, sort by votes/comments/favorites, and copy any public workflow to customize for your needs.

Content generation, data processing, file transformations, API integrations, social media automation, document analysis with RAG, image generation, custom React app creation, chatbot responses, scheduled reports, and much more.

Check the documentation at https://flowdot.ai/learning-center, browse community workflows for examples, and use the AI assistant in the editor for guidance.

Chat/Messaging (Discord, Slack, Microsoft Teams), Development (GitHub, Figma, Jira), Social Media (Twitter/X, LinkedIn), and any REST API via HTTP nodes and webhooks.

**Inbound**: External services trigger your workflows (e.g., Discord message runs a workflow). **Outbound**: Workflows send data to external services (e.g., workflow posts to Slack).

Create an application in Discord Developer Portal, create a bot, copy the Bot Token/Application ID/Public Key, invite the bot to your server, then enter the credentials in FlowDot's Integration settings.

For event-driven integrations like GitHub, you can map specific events to specific workflows. For example, map "Push to main branch" to trigger your deployment workflow automatically.

Yes! Use HTTP/webhook nodes to connect any API-based service. Configure the endpoint URL, HTTP method, headers, and body to call any REST API.

The Knowledge Base lets you upload documents (PDF, Word, TXT, Markdown, CSV, JSON up to 50MB) and search them using AI-powered semantic search. Use it to give your workflows and the AI agent context from your own documents.

RAG (Retrieval Augmented Generation) lets AI use your documents as context. Instead of relying only on its training, the AI searches your Knowledge Base for relevant content and uses it to generate more accurate, grounded responses.

Navigate to Profile > Knowledge Base, click Upload Documents, drag and drop files or browse to select them, optionally assign categories, and click Upload. Documents are automatically processed and become searchable.

Usually 10-60 seconds depending on document size. Documents go through Pending > Processing > Ready states. Large PDFs may take longer. The status updates automatically.

Add a RAG Query node to your workflow. Configure which category to search, connect a search query input, and connect the output to an LLM node. The AI receives relevant document chunks as context for generating responses.

Keyword search matches exact words. Semantic search understands meaning - searching for "company earnings" can find content about "revenue" and "profit" even without those exact words. The Knowledge Base uses semantic search.

Storage limits vary by subscription plan. Higher tiers (Creator, Pro, Business) have increased storage allowances. Check your current storage usage in the Knowledge Base section of your profile.

FlowDot Internal (free built-in tokens), OpenAI (GPT-4 Turbo, GPT-4, GPT-3.5 Turbo), Anthropic (Claude 3 Opus, Sonnet, Haiku), Google AI (Gemini 1.5 Pro, Gemini Pro), OpenRouter, and local models via Ollama.

No! FlowDot Internal provides free tokens to get started. Add your own API keys when you need more capacity, specific models, or want to use your own billing.

Click the hamburger menu (top right), select API Settings, go to the LLM API Keys tab, enter your API key for each provider, click Test API Key to verify, then Save Settings.

Configure preferred models for different complexity tiers (FlowDot, Simple, Capable, Complex) in API Settings. Then use tier buttons in LLM nodes for instant model selection instead of manually choosing provider/model each time.

Yes! Install Ollama (https://ollama.ai), download models, and connect in FlowDot by selecting Ollama (Local - Browser) in LLM nodes. Your data stays on your machine for privacy.

Yes. All keys are encrypted in the database, user-specific (never shared), never exposed in workflow definitions, and never visible in execution logs. Only you can see your own keys.

No! When you use your own API keys (OpenAI, Anthropic, etc.), those don't count against your FlowDot token allocation. You're billed directly by the provider.

Navigate to Schedules, click Add Schedule, select your workflow, configure timing using cron expressions or simple intervals, set your timezone, and save. Workflows run automatically on your defined schedule.

**Cron expressions** for precise scheduling (e.g., daily at 9 AM, weekdays only, every 30 minutes). **Interval** for simple repeating schedules (run every X minutes, minimum 1 minute).

Schedules run on FlowDot's servers, not your computer. They execute even if you're offline or your computer is turned off.

Yes! Click the Power icon on any schedule to pause it. The configuration is preserved, and no executions occur while paused. Click again to resume.

Click the Clock icon on any schedule to see execution logs with status (success/failed/skipped), start and end times, duration, and error messages if any.

Enterprise-grade encryption for data in transit and at rest. All credentials are encrypted in the database. Workflows don't contain actual key values, and keys are never visible in execution logs.

Private workflows: Only you and invited team members. Public workflows: Anyone can view and copy them from the Public Workflow Browser.

Yes, full GDPR compliance with data portability and deletion rights. You can export your data and delete your account at any time.

Encrypted storage with secure key management practices. Keys are user-specific, never shared, and substituted at runtime so they're never exposed in workflow definitions.

Yes. Memories are completely private to your account. Personal documents in the Knowledge Base are only visible to you. Team documents are visible only to team members.

Check the gas meter icon in the header for quick status (green/yellow/red). View detailed usage on your Profile page showing executions remaining, tokens remaining, and plan tier.

Each time you run a workflow counts as one execution, regardless of workflow complexity or number of nodes. Free tier: 5 executions reset daily. Creator: 1,000/month. Pro: 5,000/month. Business: 25,000/month.

Workflows pause until your limit resets (daily for Free executions/tokens, hourly for Creator tokens, monthly for paid executions and Pro/Business tokens) or you upgrade. There are no overage charges. You can still use your own API keys for LLM usage.

**Executions**: How many times you run workflows. **Tokens**: AI processing units consumed by LLM nodes using FlowDot's internal models. They're separate limits.

Navigate to your Profile, find the Subscription Plan section, click Upgrade Plan, compare plans, select your preferred tier, and complete checkout. Monthly and yearly billing options available.

It depends on the resource and plan. **Executions**: Free resets daily, paid plans reset monthly. **Tokens**: Free resets daily, Creator resets hourly (250K/hour), Pro and Business reset monthly. Check https://flowdot.ai/subscriptions for details.

Click the hamburger menu, select Teams, click Create Team, enter a team name and optional description, then click Create. You become the team Owner with full control.

**Viewer**: View and run workflows. **Editor**: Plus create/edit workflows and upload documents. **Admin**: Plus invite/remove members and change roles. **Owner**: Full control including team deletion.

Open your team's detail page, click Invite Member, enter their email address, select their role (Viewer, Editor, or Admin), and send the invitation. Share the generated link with them.

Yes! You can be a member of as many teams as needed, with different roles in each team.

Create the workflow within the team (select team when creating), or move an existing personal workflow to the team. Team workflows are visible to all team members based on their role permissions.

No. Personal workflows are private to you. Only workflows created within the team are shared with team members.

Check: execution logs for errors, API keys are configured correctly, you're within usage limits, all required inputs are provided, and nodes are properly connected.

Common causes: corrupted file, image-only PDF (no extractable text), unsupported encoding, password-protected PDF, or file too large. Try re-uploading or check the file format. Click retry icon to reprocess.

Check that: the toolkit is installed, it's active (not paused), all required credentials are mapped, and tool descriptions clearly explain what they do.

Ensure Ollama is running (`ollama serve`), the URL is correct (default: http://localhost:11434), your browser allows localhost connections, and you have models downloaded (`ollama list`).

Documentation at https://flowdot.ai/learning-center, community forums, and support tickets. Response time varies by plan: Free (community support), Paid (24-48 hours), Business (priority support).

In API Settings, after entering a key, click "Test API Key". You'll see a success or error message indicating whether the key is valid.

Check that: the integration is set to Active, the webhook URL is correct in the external service, the event type matches your mapping, and credentials are still valid.

Memories are personal notes that help FlowDot's AI understand your preferences and context. They personalize your interactions with the AI agent. Categories include General, Preferences, Facts, and Behaviors.

Visit another user's public profile and click Follow. Their public content appears in your network. You can manage followers and following from your profile settings.

MCP (Model Context Protocol) tokens are for integrations like ChatGPT MCP connections. Create them in Security Settings, select permissions, and save the generated token securely (it's only shown once).

**LLM API Keys**: For AI model providers (OpenAI, Claude, Gemini, etc.). **User API Keys**: For any other service (weather APIs, databases, custom integrations). Use naming like MY_WEATHER_API.

Reference keys in text fields using double curly braces: `https://api.example.com?api_key={{MY_API_KEY}}`. The key is automatically substituted at runtime.

In the Editor, click the Run button (play icon) in the toolbar. In the Workflow Runner, fill in any required inputs and click Execute. You can also run workflows through the AI Agent by describing what you want to do.

Results appear in output nodes after execution completes. You can also view the Debug Panel to see data flowing through each node, and check the Execution History for past runs.

Yes! During execution, nodes show visual indicators: blue pulse means processing, green means complete, red means error. The Debug Panel shows real-time data flowing through each node.

Failed nodes show red indicators. Check the Debug Panel or execution logs for error messages. Common issues include missing API keys, invalid inputs, or connection timeouts. Fix the issue and re-run.

Yes! Access Execution History from the workflow to see past runs with timestamps, status (success/failed), duration, inputs used, and outputs generated. You can reload results from history to view or share them.

Nodes are visual blocks representing actions (AI prompts, integrations, data processing). Each node has input sockets (left side) to receive data and output sockets (right side) to send data. Connect them to create workflows that process data step-by-step.

Click on an output socket (right side of a node) and drag to an input socket (left side of another node) to create a connection. Data flows from outputs to inputs through these connections.

Input nodes (text, file, image, slider), Output nodes (text display, debug), LLM nodes (GPT, Claude, Gemini, local models), Integration nodes (Discord, Slack, GitHub), Logic nodes, Data transformation nodes, RAG/Knowledge Base nodes, and Custom nodes.

Click on any node to open the Properties Panel on the right side of the editor. Here you can configure all settings specific to that node type, such as prompts for LLM nodes, API settings, or input defaults.

Pan the canvas by dragging with the middle mouse button or holding spacebar while dragging. Zoom using the mouse wheel or zoom controls. Use the minimap (bottom-right) for quick navigation on large workflows.

Yes! Clone any public workflow from the Public Workflow Browser by clicking "Copy to My Workflows", or duplicate your own workflows as starting points.

Open Workflow Settings (gear icon), toggle "Make workflow public" to add it to the Public Workflow Browser where anyone can discover and copy it. For team-only sharing, keep it private and share within your team.

Select the node and press Delete/Backspace, or right-click and choose Delete. For connections, click on the connection line and press Delete, or drag from the input socket to disconnect.

Socket colors indicate data types - they help you understand what kind of data flows through connections. Matching colors generally mean compatible types, though some connections work across different types.