AI Workflows
Artificial Intelligence tools and workflows
Automate Text Generation with IBM Granite 3.3 8B Instruct AI via Replicate API
This n8n workflow leverages the IBM Granite 3.3 8B Instruct AI model to automatically generate high-quality text content using the Replicate API. It features seamless integration, automated status checking, and error handling for efficient text generation.
n8n$9.99Manage Jira Issues with Natural Language via Telegram and GPT-4
## Manage Jira Issues with Natural Language via Telegram and GPT-4 ## Overview The Jira Agent is an AI-powered assistant that allows users to interact with Jira directly through the messaging platform Telegram. It leverages OpenAI's GPT-4 model to interpret natural language commands and perform various Jira-related actions. On Telegram, it enables users to create Jira stories by triggering a guided form when prompted with "create story". Additionally, it provides more extensive functionality, including creating, updating, searching, and transitioning Jira issues through natural language commands. ## How it works **Normal interaction** Using messages such as "Please give me all my issues." **Standardized process of creating stories:** 1. Message: create story 2. Open the Form that Telegram responds back to you 3. Fill in the essential story information in the form 4. The story automatically gets created in your backlog. ## Required Connections To use the Jira Agent effectively, users need access to: - A Telegram account, Telegram setup involves deploying the bot and starting a chat; story creation is triggered with a simple text command. - A connected Jira workspace - Permissions to create and modify Jira issues - Access to GPT-4 API-key Detailed configuration instructions are provided in the workflow. ## Setup Time <15 minutes ## Customizing this workflow - Try adding more details to the form for more complete Jira ticket creation. - Try connecting a Google Calendar node to plan your work.
n8n$14.99Automate CV Screening and Applicant Scoring from Gmail to Airtable with AI
### How It Works 1. **Trigger** Watches for new emails with attachments in a Gmail label. 2. **Extract Data** - Extracts job code from the email subject (e.g., `FN-001`) - Extracts raw text from the attached CV (PDF) 3. **AI Parsing** Uses Google Gemini to parse the CV and extract: - Name - Email - Years of experience - Skills 4. **Job Lookup** Uses the extracted job code to retrieve job details from Airtable. 5. **AI Scoring** - Compares applicant data with job requirements - Scores from 1-100 - Generates a brief reasoning summary (in Bahasa Indonesia) 6. **Log to Airtable** Saves applicant data, score, and AI notes to the Applications table. ### Setup Instructions 1. **Prepare Airtable Base** - **Job Posts Table** - Columns: Job Code, Job Title, Required Skills, Minimum Experience, Job Description - **Applications Table** - Columns: Applicant Name, Email, Score, Notes - Include a linked field to the Job Posts table 2. **Add Credentials in n8n** - Gmail - Google AI (Gemini) - Airtable 3. **Configure Nodes** - **Trigger**: Set Gmail filter (e.g., `label:job-applications`) - **Extract Job Code**: Verify regex format, default is `([A-Z]{2}-\d{3})` - **Airtable Nodes**: Select your base and table in: - Find Job Post... - Save Applicant... 4. **Activate Workflow** - Save and enable the workflow - New applications will be processed automatically
n8n$14.99Automate ASMR Video Creation and Social Media Publishing
This n8n workflow automates the creation of ASMR videos from concept to publication. It uses AI to generate ideas, create video and audio content, and publish the final product to social media platforms like Instagram and TikTok.
n8n$24.99AI-Driven Document Interaction Using Nextcloud and OpenAI
This workflow enables AI-powered interactions with documents stored in Nextcloud, utilizing LangChain and OpenAI to answer user queries based on document content.
n8n$14.99Generate AI Images from Text with Fire Flux Model on Replicate API
This workflow provides automated access to the Fire Flux AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for image generation tasks within your n8n automation workflows. ## Overview This workflow automatically handles the complete image generation process using the Fire Flux model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. **Model Description**: The image generation model tailored for local development and personal use ## Key Capabilities - **High-quality image generation from text prompts** - **Advanced AI-powered visual content creation** - **Customizable image parameters and styles** ## Tools Used - **n8n**: The automation platform that orchestrates the workflow - **Replicate API**: Access to the Fire Flux AI model - **Fire Flux**: The core AI model for image generation - **Built-in Error Handling**: Automatic retry logic and comprehensive error management ## How to Install 1. **Import the Workflow**: Download the .json file and import it into your n8n instance. 2. **Configure Replicate API**: Add your Replicate API token to the Set API Token node. 3. **Customize Parameters**: Adjust the model parameters in the Set Image Parameters node. 4. **Test the Workflow**: Run the workflow with your desired inputs. 5. **Integrate**: Connect this workflow to your existing automation pipelines. ## Use Cases - **Content Creation**: Generate unique images for blogs, social media, and marketing materials. - **Design Prototyping**: Create visual concepts and mockups for design projects. - **Art & Creativity**: Produce artistic images for personal or commercial use. - **Marketing Materials**: Generate eye-catching visuals for campaigns and advertisements. ## Connect with Me - **Website**: https://www.nofluff.online - **YouTube**: https://www.youtube.com/@YaronBeen/videos - **LinkedIn**: https://www.linkedin.com/in/yaronbeen/ - **Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #imagegeneration #aiart #texttoimage #visualcontent #aiimages #generativeart #flux #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation
n8n$9.99Automate Book Summarization and Semantic Search with AI and Google Drive
This n8n workflow streamlines the process of summarizing books uploaded to Google Drive using AI technologies. It leverages Cohere for embeddings, Qdrant for vector storage, and DeepSeek for summarization and Q&A, enhancing productivity for researchers and students.
n8n$14.99Generate Images from Text Prompts with Google Imagen 3 via Replicate API
### Who is this for? This n8n workflow is designed for developers, digital artists, and content creators who want to leverage the power of AI-generated images using the Replicate API. ### What problem is this workflow solving? / Use case The workflow automates the process of generating images from textual prompts using the Replicate API. It allows users to generate, check the status of, and retrieve images with minimal manual intervention. ### What this workflow does - **Initialize Workflow**: Triggered by a manual click, the workflow starts with a prompt for image generation. - **Set Image Generation Parameters**: The user can define a prompt and other parameters, which will be sent to the Replicate API for processing. - **Create Prediction**: The workflow sends a request to generate an image based on the provided input. - **Check Prediction Status**: After a short waiting period, the workflow checks the status of the image generation process. - **Handle Errors**: If the status indicates an error (e.g., failed or canceled), the workflow stops and reports an error. - **Retrieve Image URL**: If the image generation is successful, it retrieves and outputs the URL of the generated image. ### Setup 1. **Replicate API Key**: - Go to the Replicate website and sign up for an account if you don't have one. - Generate an API key from your Replicate dashboard. 2. **Configure HTTP Credentials**: - In n8n, navigate to the Credentials section and create a new HTTP Header Authentication credential. - Set the name to `Authorization`, and enter `Bearer YOUR_REPLICATE_API_KEY` in the value field, replacing `YOUR_REPLICATE_API_KEY` with your actual API key. ### How to customize this workflow to your needs - **Edit the Prompt Text**: Change the text in the Set prompt node to customize the image you want to generate. This can be adjusted to include dynamic input from other parts of your n8n workflow. - **Change Image Generation Settings**: In the Create prediction node, you may modify any parameters such as aspect ratio, safety filter level, or even the model being used by changing the URL. - **Add More Logic**: If you want to add more complex logic or branching conditions based on the image generation results, modify the Check for success and Check for errors nodes accordingly. - **Modify Wait Duration**: Depending on your application, you may want to adjust the waiting times in the Wait and Pause nodes to optimize processing time based on expected image generation speed.
n8n$14.99AI-Driven Local Event Discovery Using Multi-Tool Search
This n8n workflow leverages AI and multiple search tools to find local events based on user criteria such as event type, location, date, and interests. It integrates Brave Web Search, Brave Local Search, Google Gemini Search, and Jina AI for comprehensive event discovery and data extraction.
n8n$14.99Auto-generate Documentation for n8n Workflows with GPT and Docsify
This workflow creates a documentation system for n8n instances using Docsify.js. It serves a dynamic documentation website that allows users to: - View an overview of all workflows in a tabular format - Filter workflows by tags - Access automatically generated documentation for each workflow - Edit documentation with a live Markdown preview - Visualize workflow structures using Mermaid.js diagrams > Check out the [short 2-min demonstration](https://www.linkedin.com/feed/update/urn:li:activity:7276671057992847361/) on LinkedIn. Don't forget to connect! ## Key Components 1. **Main Documentation Portal** - Serves a Docsify-powered website - Provides a navigation sidebar with workflow tags - Displays workflow status, creation date, and documentation links 2. **Documentation Generator** - Uses GPT model to auto-generate workflow descriptions - Creates Mermaid.js diagrams of workflow structures - Maintains consistent documentation format 3. **Live Editor** - Split-screen Markdown editor with preview - Real-time Mermaid diagram rendering - Save/Cancel functionality ## Technical Details ### Environment Setup - Requires write access to the specified project directory - Uses environment variables for n8n instance URL configuration - Implements webhook endpoints for serving documentation ### Security Considerations > Note: The current implementation doesn't include authentication for editing. Consider adding authentication for production use. ### Dependencies - Docsify.js for documentation rendering - Mermaid.js for workflow visualization - OpenAI GPT for documentation generation ## Part of the n8n Observability Series This workflow is part of a broader series focused on n8n instance observability. Check out these related workflows: 1. [Workflow Dashboard](https://n8n.io/workflows/2269) - Get comprehensive analytics of your n8n instance 2. [Visualize Your n8n Workflows with Mermaid.js](https://n8n.io/workflows/2378) - Create beautiful workflow visualizations Each workflow in this series helps you better understand and manage your n8n automation ecosystem!
n8n$24.99Automate Personalized WhatsApp Quizzes with GPT-4 and Supabase
This workflow creates a personalized quiz assistant on WhatsApp using GPT-4 and Supabase, capturing user data and delivering tailored quizzes.
n8n$9.99Email Parser for RAG Agent Powered by Gmail and Memo
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. **Alternatively, you can delete the community node and use the HTTP node instead.** Most email agent templates are fundamentally broken. They're stateless—they have no long-term memory. An agent that can't remember past conversations is just a glorified auto-responder, not an intelligent system. This workflow is Part 1 of building a truly agentic system: creating the brain. Before you can have an agent that replies intelligently, you need a knowledge base for it to draw from. This system uses a sophisticated parser to automatically read, analyze, and structure every incoming email. It then logs that intelligence into a persistent, long-term memory powered by mem0. ### The Problem This Solves Your inbox is a goldmine of client data, but it's unstructured, and manually monitoring it is a full-time job. This constant, reactive work prevents you from scaling. This workflow solves that system problem by creating an always-on engine that automatically processes, analyzes, and structures every incoming email, turning raw communication into a single source of truth for growth. --- ### How It Works This is an autonomous, multi-stage intelligence engine. It runs in the background, turning every new email into a valuable data asset. 1. **Real-Time Ingest & Prep:** The system is kicked off by the **Gmail Trigger**, which constantly watches your inbox. The moment a new email arrives, the workflow fires. That email is immediately passed to the **Set Target Email** node, which strips it down to the essentials: the sender's address, the subject, and the core text of the message (I prefer using the plain text or HTML-as-text for reliability). While this step is optional, it's a good practice for keeping the data clean and orderly for the AI. 2. **AI Analysis (The Brain):** The prepared text is fed to the core of the system: the **AI Agent**. This agent, powered by the **LLM of your choice** (e.g., GPT-4), reads and understands the email's content. It's not just reading; it's performing analysis to: * Extract the core message. * Determine the sentiment (Positive, Negative, Neutral). * Identify potential red flags. * Pull out key topics and keywords. * The agent uses **Window Buffer Memory** to recall the last 10 messages within the same conversation thread, giving it the context to provide a much smarter analysis. 3. **Quality Control (The Parser):** We don't trust the AI's first draft blindly. The analysis is sent to an **Auto-fixing Output Parser**. If the initial output isn't in a perfect JSON format, a second **Parsing LLM** (e.g., Mistral) automatically corrects it. This is our twist that guarantees your data is always perfectly structured and reliable. 4. **Create a Permanent Client Record:** This is the most critical step. The clean, structured data is sent to **mem0**. The analysis is now logged against the **sender's email address**. This moves beyond just tracking conversations; it builds a complete, historical intelligence file on every person you communicate with, creating an invaluable, long-term asset. **Optional Use:** For back-filling historical data, you can disable the Gmail Trigger and temporarily connect a **Gmail Get Many** node to the `Set Target Email` node to process your backlog in batches. --- ### Setup Requirements To deploy this system, you'll need the following: * An active **n8n** instance. * **Gmail** API credentials. * An API key for your primary LLM (e.g., **OpenAI**). * An API key for your parsing LLM (e.g., **Mistral AI**). * An account with **mem0.ai** for the memory layer.
n8n$9.99Generate Contextual Recommendations from Slack Using Pinecone
This advanced Retrieval-Augmented Generation (RAG) automation template for n8n enables contextual, real-time recommendations using Slack messages as input. The workflow extracts referenced documents from Google Drive, performs semantic retrieval from Pinecone, and generates next-step advice using GPT-4 - tailored specifically for executives and knowledge workers. Perfect for AI copilots, Slack-based assistants, or CEO coaching tools, this no-code RAG implementation gives you the building blocks to combine unstructured inputs with memory-augmented intelligence. **What This Template Does** - Triggers from a Slack Message or Mention Monitors a Slack channel using a bot, capturing user input in real-time. - Extracts Key Info from Message GPT-4 parses the message to identify the subject person and Google Drive link (if present). - Downloads File from Google Drive Automatically fetches and extracts PDF content using the built-in extractor. - Retrieves Metadata from Google Sheets & Pinecone Looks up user ID from Google Sheets and retrieves context from Pinecone based on embeddings and reranking. Contextual Response via GPT-4 (RAG) Combines user data and document context to generate a single, actionable next step using a tightly scoped GPT-4 prompt. - Auto-Fixes & Structures Output Ensures formatted response with recommended_action, rationale, and optional risk_note. - Sends Final Output Back to Slack Posts the recommendation directly to the channel as a reply. **Required Integrations** - Slack Bot with channels:history & app_mentions:read - Google Drive OAuth for file fetching - Google Sheets for ID mapping - Pinecone for vector document retrieval - Azure OpenAI or OpenAI GPT-4 for language processing - (Optional) Cohere for reranking results **Ideal Use Cases** - Executive coaching bots (e.g., for CEOs or founders) - Slack-based internal AI assistants - AI-powered document summarization with memory - Actionable recommendations based on real Slack conversations - Enterprise knowledge augmentation from vector DBs **Why This Template Stands Out** 1. Combines live Slack interaction, file ingestion, and Pinecone retrieval into a fully RAG-powered response system. 2. AI prompts are carefully scoped for actionable, context-aware, and time-bound responses. 3. No-code setup with modular components for scaling or adapting to new use cases (e.g., different roles or goals).
n8n$14.99Automate Client FAQs with RAG Using Google Drive and Azure OpenAI
Create an AI-driven FAQ system using Retrieval-Augmented Generation (RAG) to provide precise answers from Google Drive PDFs via Azure OpenAI. This workflow automates the process of handling client inquiries by extracting relevant information from stored documents.
n8n$14.99Automate Podcast Script Creation from Telegram Voice Notes
Effortlessly convert Telegram voice messages into structured podcast scripts in Notion using AI transcription and analysis.
n8n$4.99Automate Lead Qualification Reports from Tally Forms to Gmail via Qwen-3
This n8n workflow automates the process of generating lead qualification reports by integrating Tally form submissions with Qwen-3's AI analysis and delivering insights via Gmail. It enhances sales efficiency by providing actionable insights and ensuring data integrity.
n8n$4.99Automate LinkedIn Post Creation with AI-Generated Images from Web Pages
Transform any web page into a LinkedIn post with AI-generated images for a polished and engaging presentation. This workflow automates content creation, review, and approval for seamless social media management.
n8n$14.99Automate AI Responses with Google Gemini and Webhooks
This workflow captures user inputs via a webhook, processes them using the Google Gemini API, and returns structured AI responses, including reasoning and citations.
n8n$4.99Automate Your Tweet Scheduling with Google Sheets Integration
This workflow enables users to automate the posting of tweets based on data stored in a Google Sheet. By leveraging a scheduled trigger, it fetches tweets from a designated Google Sheets document at defined intervals, ensuring a steady flow of con...
n8n$11.47Automated Video Translation & Distribution with DubLab to Multiple Platforms
**Automated** n8n workflow: Receives videos via form, dubs/translates them to the selected languages, and—upon completion—uploads them to multiple social media channels and cloud drives, including Box, Dropbox, and YouTube, Telegram, Postiz (Facebook, Instagram, TikTok, Reddit, etc.) ### Workflows 1. Via n8n form, select files to dub for desired languages. 2. Listen to webhook and whenever dubbing finishes, upload to desired platforms. ### Used Stacks - DubLab App (ApiKey, Webhook Setup Required) #### Optional (Upload) - Telegram (Token Required) - Box (OAuth2 Required) - Dropbox (OAuth2 Required) - YouTube (OAuth2 Required) - Postiz (ApiKey Required)
n8n$14.99Automate Daily Photo Background Removal with Photoroom and Google Drive
This n8n workflow automates the process of removing backgrounds from images stored in Google Drive using the Photoroom API. It organizes the processed and original images into separate folders, streamlining image management for digital marketing and event organization.
n8n$9.99Automate LinkedIn Content Creation from Meeting Transcripts with AI and Google Docs
Effortlessly convert your meeting transcripts into engaging LinkedIn posts using AI, Google Docs, and Gmail. Ideal for professionals looking to streamline content creation.
n8n$14.99Automate YouTube Video Summaries to Obsidian via Dropbox
Automatically fetch YouTube videos from a playlist, generate detailed summaries using OpenAI, and save them as Markdown files in Dropbox for seamless integration with Obsidian.
n8n$14.99Integrate OpenAI with Notion for an Embeddable Knowledge Base Chatbot
Create an AI-powered chatbot using OpenAI and Notion to serve as a dynamic knowledge base, easily embeddable on your website for customer support.
n8n$9.99
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