AI Workflows
Artificial Intelligence tools and workflows
Automate Image Generation with HeraNathalie Model via Replicate API
This workflow automates image creation using the Digitalhera Heranathalie AI model through the Replicate API, streamlining the process by handling API authentication, parameter setup, and result retrieval.
n8n$9.99Create a Humorous Telegram Bot with AI and Postgres
Build a witty Telegram bot using n8n, OpenRouter, and Postgres to deliver jokes, motivational quotes, and playful roasts. This workflow tracks user interactions and provides statistics and leaderboards.
n8n$14.99Automate LinkedIn AI News Posts with NewsAPI and OpenAI
This workflow automates the creation and publication of LinkedIn posts about trending AI news. It fetches news articles using NewsAPI, enhances content with Qdrant, and generates professional posts using OpenAI's GPT-4o-mini model.
n8n$14.99Automate Daily Online Presence Monitoring with AI Sentiment Analysis
This workflow provides a daily overview of your company's online presence by scanning multiple platforms, analyzing sentiment with AI, and delivering a structured report to your email.
n8n$14.99Automate Azure VM Timeline Reports with Google Gemini AI
This workflow leverages Google Gemini AI to analyze Azure virtual machine activity, generating detailed timeline reports of VM state changes, performance metrics, and operational events.
n8n$9.99Automate AI Grant Scraping and Eligibility Assessment
This n8n workflow automates the process of scraping AI grants from grants.gov, assesses their eligibility using AI, and sends email alerts for relevant opportunities.
n8n$14.99Evaluate AI Workflow Tool Usage with Dataset Metrics
This workflow evaluates whether a specific tool was invoked by an AI agent using a test dataset, providing insights into workflow performance.
n8n$9.99Integrate AI with API Calls for Dynamic Data Retrieval
Leverage n8n to connect AI with any API for real-time data retrieval and processing. This workflow uses AI to refine API requests based on user input, enhancing the interaction with dynamic data fetching.
n8n$14.99Batch Upload Image Datasets to Qdrant for AI Analysis
This workflow automates the process of importing image datasets from Google Cloud Storage, creating embeddings using Voyage AI, and uploading them to Qdrant for anomaly detection and KNN classification.
n8n$14.99WordPress Content Automation Machine with HUMAN-IN-THE-LOOP & DEEP RESEARCH
## **HUMAN-IN-THE-LOOP Content Automation Pro with Deep Research & Airtable for Power Users - Collaborative AI for WordPress Blog Automation** **The BEST n8n Content Automation workflow** in the market is getting even better, now enabling you to have full control over the entire process. It's time to unlock the power of true **collaborative creation with GenAI!** **Want to leverage AI automation but don't want to give up full control over the whole content creation process?** Get the best of both worlds - get **“Human-in-the-Loop”** with this supreme n8n workflow template! This template blends the **power of AI** with the crucial oversight of **human expertise and intervention**, all managed through a central, streamlined Airtable interface. Say goodbye to generic content and hello to high-quality, deeply researched articles published directly to your WordPress site with full control. Check out [my Youtube channel](https://www.youtube.com/@nminhduc/) for a full walkthrough.      ### **What problem is this workflow solving? / Use cases** Fully automated content generation tools often lack the nuance, accuracy, and strategic control necessary for truly impactful content. This workflow solves that critical gap by integrating powerful AI capabilities into a structured, human-supervised content creation process managed via a simple interface. It automates the most repetitive and time-consuming tasks - like research gathering, chapter ideations, domain copywriting - while strategically embedding essential human review points at critical junctures. Instead of simply providing a topic and receiving a finished article of uncertain quality, you actively guide the process step-by-step within an interface. You review, refine, and approve AI suggestions for chapters and content before finalizing and publishing. This approach makes it perfect for creating high-quality, deeply researched, and brand-aligned blog posts for WordPress more efficiently, without ever sacrificing essential editorial control. ### **Who is this for?** This workflow template is meticulously designed for individuals and teams deeply involved in content creation who seek a powerful blend of AI-driven efficiency and essential human-controlled quality assurance: * **Content Creators & Bloggers:** Who want to leverage AI for drafting and research but maintain full editorial control. * **Marketing Teams:** Looking to scale content production efficiently while ensuring brand voice and quality consistency. * **SEO Specialists:** Needing to produce well-researched, structured, and SEO-optimized content regularly. * **Agencies:** Managing content creation for multiple clients with a structured, repeatable process. * **Anyone who prefers a human-in-the-loop approach** over fully automated black box content generators. ### **How this workflow works** This template automates significant portions of the WordPress content creation process, utilizing Airtable as the central hub for management and user interaction, while leveraging AI for research and copywriting. The system is composed of four interconnected n8n flows, each handling a distinct stage of the content lifecycle. In addition, there is a sub-workflow dedicated to the research tool (Perplexity).  #### **Content Creation Process in Airtable** The entire journey from idea to published post is managed within your Airtable base, offering transparency and control. Progress through each tab sequentially to complete the content creation process and produce a high-quality article that fulfills your requirements. 1. **Configure Settings (“Settings” table):** Define global parameters (website details, target audience, writing style, category IDs, about us, CTA, etc.) in the “Settings” table. These serve as default inputs for the AI. 2. **Create Topics (“Create Topics” table):** Add a record to the “Create Topics” table for each new blog post idea. Mark the topic as ready by setting its Status field to “To Do” **and** ticking the Execute Flow checkbox to initiate the first flow. 3. **Generate Chapters (“Generate Chapters” table):** The first flow calls to the sub-workflow to do online research and generates potential chapter outlines based on your topic and settings, saving them to the “Generate Chapters” table. 4. **Select Chapters to Write (“Select Chapters” table):** Review the suggested chapters in the “Select Chapters” table. Select
n8n$24.99Automate LinkedIn Prospecting with AI and Google Sheets
Streamline your LinkedIn prospecting by using AI to find relevant profiles based on natural language queries and automatically save the results to Google Sheets.
n8n$9.99Compare Different LLM Responses Side-by-Side with Google Sheets
This workflow allows you to **easily evaluate and compare the outputs of two language models (LLMs)** before choosing one for production. In the chat interface, both model outputs are shown side by side. Their responses are also logged into a Google Sheet, where they can be evaluated manually or automatically using a more advanced model. ### Use Case You're developing an AI agent, and since LLMs are non-deterministic, you want to determine which one performs best for your specific use case. This template is designed to help you compare them effectively. ### How It Works - The user sends a message to the chat interface. - The input is duplicated and sent to two different LLMs. - Each model processes the same prompt independently, using its own memory context. - Their answers, along with the user input and previous context, are logged to Google Sheets. - You can review, compare, and evaluate the model outputs manually (or automate it later). - In the chat, both responses are also shown one after the other for direct comparison. ### How to Use It - Copy this [Google Sheets template](https://docs.google.com/spreadsheets/d/1grO5jxm05kJ7if9wBIOozjkqW27i8tRedrheLRrpxf4/) (File > Make a Copy). - Set up your **System Prompt** and **Tools** in the **AI Agent** node to suit your use case. - Start chatting! Each message will trigger both models and log their responses to the spreadsheet. Note: This version is set up for two models. If you want to compare more, you'll need to extend the workflow logic and update the sheet. ### About Models You can use **OpenRouter** or **Vertex AI** to test models across providers. If you're using a node for a specific provider, like OpenAI, you can compare different models from that provider (e.g., `gpt-4.1` vs `gpt-4.1-mini`). ### Evaluation in Google Sheets This is ideal for teams, allowing non-technical stakeholders (not just data scientists) to evaluate responses based on real-world needs. Advanced users can automate this evaluation using a more capable model (like `o3` from **OpenAI**), but note that this will increase token usage and cost. ### Token Considerations Since **each input is processed by two different models**, the workflow will consume more tokens overall. Keep an eye on usage, especially if working with longer prompts or running multiple evaluations, as this can impact cost.
n8n$14.99Convert Reddit Threads into Short Vertical Videos with AI
# Convert Reddit threads into short vertical videos with AI ## Who is this for? This workflow is ideal for: - **Content creators** and **video editors** automating short-form content production - **Reddit storytellers** converting text posts into engaging TikTok, YouTube Shorts, or Reels - **Social media managers** repurposing community discussions into visual narratives ## What problem is this solving? Manually converting Reddit posts into vertical video content is time-consuming: - You have to read, summarize, write a script - Generate S - Find stock footage - Edit everything in a timeline This workflow automates the full pipeline. It converts any Reddit thread into a polished video with: - S narration - Subtitle overlays - B-roll from Pexels - Automatic rendering via Shotstack ## What this workflow does This workflow: 1. **Extracts Reddit post and comments** via Reddit API 2. **Summarizes the thread into structured clips** using OpenAI 3. **Generates search queries** for each clip for stock footage 4. **Queries Pexels API** for relevant vertical videos 5. **Generates S audio** for each clip using OpenAI Whisper 6. **Creates subtitles** matching the audio 7. **Uploads footage/audio to Shotstack** 8. **Renders a full vertical video (720x1280)** with synced S, subtitles, and b-roll 9. **Returns a final video URL** ## Setup - Create accounts and API keys for: - [Reddit Developer App](https://www.reddit.com/prefs/apps) - [OpenAI](https://platform.openai.com/) - [Pexels](https://www.pexels.com/api/) - [Shotstack](https://shotstack.io/) - Add credentials in n8n: - Reddit (HTTP Basic Auth) - OpenAI (API Key) - Shotstack (HTTP Header Auth) - Pexels (HTTP Header Auth) - Trigger via webhook or manual node. The input must include: ```json { "voice": "nova", "ttsSpeed": 1, "videoLength": 60, "redditLink": "https://www.reddit.com/r/example/comments/example_id/example_title" } ``` ## How to customize this workflow - **Tweak OpenAI prompts** to change tone or clip granularity - **Change stock source** by swapping Pexels for another API - **Adjust S voices** or languages by modifying the `voice` field - **Modify video styling** (fonts, colors, fit modes) in the timeline construction code node - **Control duration** by editing the character length formula in the `Limit comments length` node ## Additional Notes - All stock videos are selected to match clip themes using generalized keywords to avoid API misses - Includes `wait` nodes to ensure Shotstack's async upload/render processes complete before proceeding - Annotated with **sticky notes** explaining major sections like S, Reddit input, and media timeline - Avoids community nodes to ensure cloud compatibility ## Template Category **AI**, **Marketing**, **Building Blocks**, **Other (Content Creation)**
n8n$24.99Transform POML to AI-Ready Prompts and Chat Messages with n8n
Convert POML markup into Markdown prompts or chat-style messages using n8n's zero-dependency Code node. Ideal for teams needing a template-safe conversion process without external modules.
n8n$9.99Google Drive to Pinecone Vector Storage Workflow
# Document Chat Bot with Automated RAG System This workflow creates a conversational assistant that can answer questions based on your Google Drive documents. It automatically processes various file types and uses Retrieval-Augmented Generation (RAG) to provide accurate answers based on your document content. ## How It Works 1. **Monitors Google Drive for New Documents**: Automatically detects when files are created or updated in designated folders. 2. **Processes Multiple File Types**: Handles PDFs, Excel spreadsheets, and Google Docs. 3. **Builds a Knowledge Base**: Converts documents into searchable vector embeddings stored in Supabase. 4. **Provides Chat Interface**: Users can ask questions about their documents through a web interface. 5. **Retrieves Relevant Information**: Uses advanced RAG techniques to find and present the most relevant information. ## Setup Steps (Estimated time: 25-30 minutes) 1. **API Credentials**: Connect your OpenAI API key for text processing and embeddings. 2. **Google Drive Integration**: Set up Google Drive triggers to monitor specific folders. 3. **Supabase Configuration**: Configure Supabase vector database for document storage. 4. **Chat Interface Setup**: Deploy the web-based chat interface using the provided webhook. The workflow automatically chunks documents into manageable segments, generates embeddings, and stores them in a vector database for efficient retrieval. When users ask questions, the system finds the most relevant document sections and uses them to generate accurate, contextual responses.
n8n$24.99Automate AI-Generated Summaries for WordPress Posts
This n8n workflow automates the creation of AI-generated summaries for WordPress posts, enhancing content with concise summaries without the need for heavy plugins.
n8n$19.99Automate Local Document Processing with AI and Generate HML Reports
Leverage local AI models to process legal documents and generate structured HML reports while maintaining data privacy.
n8n$4.99Automate Job Search and Matching with Adzuna API, GPT-3.5, and Google Sheets
Job Search Automation Workflow Streamline Job Discovery with API-Powered Intelligence This workflow template transforms the job search process by leveraging the Adzuna API and AI to automatically find, summarize, and evaluate job opportunities. Unlike traditional RSS-based job search tools, this workflow connects directly to Adzuna's comprehensive job API for real-time, high-quality job data. Workflow Overview The Job Search Automation Workflow follows a streamlined process: - Define job titles to search for - Fetch current job listings from Adzuna's API - Split individual job results for processing - Use AI to extract and summarize key job information - Score each job against candidate profiles - Organize results for easy review This automation eliminates manual searching across job boards and provides objective evaluation of opportunities, saving valuable time for both job seekers and professionals who support them. Technical Implementation The workflow is built with a focus on efficiency and extensibility: - API Integration: Direct connection to Adzuna's job API ensures access to current listings with comprehensive details - AI Processing: Leverages OpenAI's GPT models to intelligently summarize job descriptions and evaluate candidate fit - Modular Design: Each node serves a specific purpose, making the workflow easy to understand and customize - Scalable Architecture: Can be expanded to include additional job sources or evaluation criteria Use Cases This template serves multiple user groups: - Job Seekers: Automate discovery of relevant positions matching your skills - Recruiters: Quickly identify quality positions for your candidate pool - Career Coaches: Systematically help clients find suitable positions - AI Automation Builders: Learn how to integrate job APIs with AI evaluation systems Prerequisites To use this workflow, you'll need: - An Adzuna API key (available at Adzuna.com) - An n8n instance (cloud or self-hosted) - OpenAI API credentials (or compatible alternative) Getting Started - Import this template to your n8n instance - Configure your Adzuna API credentials - Set up your OpenAI API connection - Customize job titles and candidate profiles - Execute the workflow to start discovering opportunities Customization Options The workflow can be easily adapted to your specific needs: - Modify job search parameters (location, industry, etc.) - Adjust AI prompts for different summarization styles - Customize scoring criteria based on specific skills or requirements - Add nodes to integrate with other tools in your workflow Why This Approach Matters Traditional job search methods often rely on RSS feeds, which can be limited in detail and frequency of updates. By connecting directly to the Adzuna API, this workflow ensures you're always working with the most current job data available. The AI-powered evaluation provides objective scoring of how well each position matches candidate profiles, helping prioritize applications for positions with the highest potential fit. Whether you're a job seeker looking to streamline your search, a professional helping others find opportunities, or an automation enthusiast interested in API integrations, this template provides a solid foundation for more efficient job discovery and evaluation.
n8n$9.99Manage Appian Tasks with Ollama Gwen LLM and Postgres Memory
This workflow is a simple example of using n8n as an AI chat interface into Appian. It connects a local LLM, persistent memory, and API tools to demonstrate how an agent can interact with Appian tasks. What this workflow does: - **Chat interface**: Accepts user input through a webhook or chat trigger. - **Local LLM (Ollama)**: Runs on qwen2.5:7b with an 8k context window. - **Conversation memory**: Stores chat history in Postgres, keyed by sessionId. - **AI Agent node**: Handles reasoning, follows system rules (helpful assistant persona, date formatting, iteration limits), and decides when to call tools. - **Appian integration tools**: - **List tasks**: Fetches a user's tasks from Appian. - **Create task**: Submits data for a new task in Appian (title, description, hours, cost). How it works: 1. A user sends a chat message. 2. The workflow normalizes fields such as text, username, and sessionId. 3. The AI Agent processes the message using Ollama and Postgres memory. 4. If the user asks about tasks, the agent calls the Appian APIs. 5. The result, either a task list or confirmation of a new task, is returned through the webhook. Why this is useful: - Demonstrates how to build a basic Appian connector in n8n with an AI chat front end. - Shows how an LLM can decide when to call Appian APIs to list or create tasks. - Provides a pattern that can be extended with more Appian endpoints, different models, or custom system prompts.
n8n$9.99Automate Portrait Photo Upscaling with AI and Cloud Storage
This workflow automates the process of retrieving portrait photos from Airtable, enhancing them using AI upscaling, and storing the improved images in Google Drive. It ensures efficient batch processing and organized storage.
n8n$9.99Automate Job Analysis with GPT-4 and Telegram
This workflow uses GPT-4 and Telegram to evaluate job roles and determine automation potential across four distinct zones based on the Human Agency Scale (HAS).
n8n$14.99Automate Audio Transcription and Report Generation with Gmail and Google Docs
Effortlessly convert audio files from Gmail into detailed transcription reports in Google Docs using VLM Run's AI capabilities.
n8n$9.99Seamlessly Integrate AI Agents with Bubble Apps via MCP Protocol
Enable AI agents to automatically interact with your Bubble app's backend data using the MCP protocol. This workflow facilitates real-time data access for AI tools, enhancing their ability to perform context-aware tasks.
n8n$4.99Automate Website Content Extraction and Storage with Gemini and Pinecone
Efficiently extract and store website content as vector embeddings in Pinecone using Google Gemini, creating a robust knowledge base for chatbots, search indexes, or internal tools.
n8n$14.99
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