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Artificial Intelligence tools and workflows

Dynamic AI Data Extraction from PDFs to Airtable
Automate the extraction of data from PDFs using dynamic AI prompts and update Airtable records seamlessly. This workflow adapts to changes in data attributes, reducing maintenance and enhancing flexibility.
n8nFree
Automate Cloudflare Certificate Management with AI Integration
Deploy a fully functional MCP server to manage Cloudflare certificates with AI-driven automation. This workflow requires no configuration and supports all certificate operations.
n8nFree
Automate 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.
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Automate Article Creation with AI Agents and Perplexity for Citations

This workflow automates the creation of well-researched articles using AI agents and Perplexity for accurate citations. It streamlines the research and writing process, ensuring high-quality content with credible sources.

Automate Restaurant Food Waste Forecasting with AI and Google Sheets

This n8n workflow automates daily forecasting of restaurant sales and raw material needs using AI, helping to minimize food waste and optimize inventory. Forecasts are stored in Google Sheets and emailed to staff for review.

Automate LinkedIn Post Creation from RSS Feeds Using OpenAI GPT-3

Effortlessly generate LinkedIn posts from new articles by leveraging RSS feeds and OpenAI GPT-3, enhancing your social media strategy with timely and engaging content.

Transform Press Releases (PDF & Word) into Polished Articles with Gmail & OpenAI

This n8n workflow automates the transformation of press releases into polished articles. It converts the content of an email and its attachments (PDF or Word documents) into an AI-written article/blog post. ## What does it do? This workflow assists editors and journalists in managing incoming press releases from governments, companies, NGOs, or individuals. The result is a draft article that can easily be reviewed by the editor, who receives it in a reply email containing both the original input and the output, plus an AI-generated self-assessment. This self-assessment represents an additional feedback loop where the AI compares the input with the output to evaluate the quality and accuracy of its transformation. ## How does it work? Triggered by incoming emails in Gmail, it first filters attachments, retaining only Word and PDF files while removing other formats like JPGs. The workflow then follows one of three paths: - If no attachments remain, it processes the inline email message directly. - For PDF attachments, it uses an extractor to obtain the document content. - For Word attachments, it extracts the text content by an HTTP request. In each case, the extracted content is then passed to an AI agent that converts the press release into a well-structured article according to predefined prompts. A separate AI evaluation step provides a self-assessment by comparing the output with the original input to ensure quality and accuracy. Finally, the workflow generates a reply email to the sender containing three components: the original input, the AI-generated article, and the self-assessment. This streamlined process helps editors and journalists efficiently manage incoming press releases, delivering draft articles that require minimal additional editing. ## How to set it up ### 1. Configure Gmail Connection: - Create or use an existing Gmail address - Connect it through the n8n credentials manager - Configure polling frequency according to your needs - Set the trigger event to Message Received Optional: Filter incoming emails by specifying authorized senders - Enable the Download Attachments option ### 2. Set Up AI Integration: - Create an OpenAI account if you don't have one - Create a new AI assistant or use an existing one - Customize the assistant with specific instructions, style guidelines, or response templates - Configure your API credentials in n8n to enable the connection ### 3. Configure Google Drive Integration: - Connect your Google Drive credentials in n8n - Set the operation mode to Upload - Configure the input data field name as data - Set the file naming format to dynamic: {{ $json.fileName }} ### 4. Configure HTTP Request Node: - Set request method to POST - Enter the appropriate Google API endpoint URL - Include all required authorization headers - Structure the request body according to API specifications - Ensure proper error handling for API responses ### 5. Configure HTTP Request Node 2: - Set request method to GET - Enter the appropriate Google API endpoint URL - Include all required authorization headers - Configure query parameters as needed - Implement response validation and error handling ### 6. Configure Self-Assessment Node: - Set operation to Message a Model - Select an appropriate AI model (e.g., GPT-4, Claude) - Configure the following prompt in the Message field: Please analyze and compare the following input and output content: (for example) Original Input: {{ $(HTTP Request3).item.json.data }} {{ $(Gmail Trigger).item.json.text }} Generated Output: {{ $json.output }} Provide a detailed self-assessment that evaluates: 1. Content accuracy and completeness 2. Structure and readability improvements 3. Tone and style appropriateness 4. Any information that may have been omitted or misrepresented 5. Overall quality of the transformation ### 7. Configure Reply Email Node: - Set operation to Send and select your Gmail account - Configure the to field to respond to the original sender: {{ $(Gmail Trigger).item.json.from }} - Set an appropriate subject line: RE: {{ $(Gmail Trigger).item.json.subject }} - Structure the email body with clear sections using the following template: ``` handlebars **EDITED ARTICLE** {{ $(AI Article Writer 2).item.json.output }} **SELF-ASSESSMENT** Rating: 1 (poor) to 5 (excellent) {{ $json.message.content }} **ORIGINAL MESSAGE** {{ $(Gmail Trigger).item.json.text }} **ATTACHMENT CONTENT** {{ $(HTTP Request3).item.json.data }} ``` Note: Adjust the template fields according to the input source (PDF, Word document, or inline message). For inline messages, you may not need the ATTACHMENT CONTENT section.

Automate AI-Enhanced FAQ Generation from Google Sheets

This n8n workflow automates the creation of comprehensive FAQ content by leveraging AI to enhance data from Google Sheets. It generates detailed Q&A documents for various services and organizes them in Google Drive.

Automate Podcast Transcript Summaries and Keyword Extraction with OpenAI and Gmail

Transform your podcast episodes into concise summaries and extract key SEO-friendly keywords using OpenAI, then receive the results directly in your Gmail inbox.

Automate Pitch Deck Analysis with AI and Vector Store Integration

Streamline your startup accelerator's pitch deck evaluation process by leveraging AI to parse complex documents and store insights in a vector database for interactive querying.

Compare 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.

Automate SEO Blog Post Creation and Publishing to WordPress

This n8n workflow automates the creation and publishing of SEO-optimized blog posts to WordPress, saving time and ensuring consistent content quality. It triggers on a schedule or via Telegram to generate comprehensive articles with images and SEO elements.

Automate PDF Data Extraction and Storage in Google Sheets

Streamline your workflow by automatically extracting data from PDFs and storing it in Google Sheets. This process is ideal for managing invoices, orders, and reports efficiently.

Automate Sentiment Analysis of Customer Reviews in Google Sheets

Automatically analyze the sentiment of customer reviews added to a Google Sheet and update the sheet with the sentiment results. This workflow helps in quickly identifying customer satisfaction trends and prioritizing follow-ups.

Automate Voice Cloning with Zyphra Zonos API via n8n

Effortlessly convert text to natural-sounding speech using AI voice cloning with Zyphra Zonos API. Ideal for developers and content creators seeking consistent voice output.

Automate 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.

Automate YouTube Shorts Creation and Upload from Podcasts

Transform podcasts and videos into engaging YouTube Shorts with automated editing, metadata generation, and scheduling to boost your channel's reach.

Automate Website Conversion to AI-Ready Knowledge Bases

Effortlessly transform websites into structured, AI-ready datasets for LLMs, semantic search, and chatbot development using n8n.

Automate Startup Idea Generation from Reddit with AI and Excel

This workflow automates the extraction of startup ideas from Reddit by analyzing trending posts and comments using AI, and stores the results in Microsoft Excel for easy access and analysis.

Generate 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.

Automate Fundamental Stock Analysis with AI and SEC 10K Data

Leverage AI agents to automate the creation of detailed fundamental stock analyses using SEC 10K data. This workflow integrates a front-end AI question generator with a back-end Q&A engine.

Interactive XML File Analysis and Chat Using OpenAI and LangChain

This workflow enables interactive conversations with XML file content by leveraging OpenAI and LangChain. It retrieves an XML feed from a specified URL, parses it, and allows an AI agent to answer user queries based on the XML's structure and data.

Interact with QuickBooks Online via Chat Using OpenAI

Enable operators and support teams to query QuickBooks Online customer data through a chat interface powered by OpenAI, facilitating quick access to information without directly accessing QuickBooks Online.

Automate OpenAI Model Fine-Tuning with Google Drive Integration

This n8n workflow automates the fine-tuning of OpenAI models by integrating with Google Drive to manage training files. It simplifies the process of uploading data and initiating model training, enhancing efficiency and reducing manual effort.

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Communication (2,463)Business Operations & ERPs (1,540)Other (1,425)Productivity (1,202)Marketing (1,145)Data & Analytics (995)File & Document Management (802)CRM - Sales (604)Notifications (580)Social Media (562)

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