AI Workflows
Artificial Intelligence tools and workflows
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.
n8n$4.99Automate LinkedIn Candidate Sourcing with Google X-Ray and OpenAI
Streamline your recruitment process by automatically generating and executing LinkedIn Boolean searches using OpenAI and Google X-Ray, storing results in Google Sheets.
n8n$14.99Automate 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.
n8n$14.99Convert Images to 3D Models with Faller AI and Store in Google Drive
This workflow allows users to **convert a 2D image into a 3D model** by integrating multiple AI and web services. The process begins with a user uploading or providing an image URL, which is then sent to a generative AI model capable of interpreting the content and generating a 3D representation in `.glb` format. The model is then stored and a download link is returned to the user.  --- ### **Main Steps** 1. **Trigger Node**: Initiates the workflow either via HTTP request, webhook, or manual execution. 2. **Image Upload or Input**: The image is acquired via direct upload or URL input. 3. **API Integration**: The image is sent to a 3D generation API (e.g., a service like Kaedim, Luma Labs, or a custom AI model). 4. **Model Generation**: The external API processes the image and creates a 3D model. 5. **File Storage**: The resulting 3D model is stored in cloud storage (e.g., S3, Google Drive, or a local server). 6. **Response to User**: A download link for the 3D model is returned to the user via the same communication channel (HTTP response, email, or chat). --- ### **Advantages** * **Automation**: Eliminates the need for manual 3D modeling, saving time for artists, developers, and designers. * **AI-Powered**: Leverages AI to generate realistic and usable 3D models from simple 2D inputs. * **Scalability**: Can be triggered automatically and scaled up to handle many requests via n8n's automation. * **Integration-Friendly**: Easily extendable with other services like Discord, Telegram, or marketplaces for 3D assets. * **No-Code Configuration**: Built with n8n's visual interface, making it editable without programming knowledge. --- ### **How It Works** 1. **Trigger**: The workflow can be started manually (When clicking “Test workflow”) or automatically at scheduled intervals (Schedule Trigger). 2. **Data Retrieval**: The Get new image node fetches data from a Google Sheet, including the model image, product image, and product ID. 3. **3D Image Creation**: The Create 3D Image node sends the image data to the Fal.run API (Trellis) to generate a 3D model. 4. **Status Check**: The workflow periodically checks the request status (Get status and Wait 60 sec.) until the job is marked as COMPLETED. 5. **Result Processing**: Once completed, the 3D model URL is retrieved (Get Url 3D image), the file is downloaded (Get File 3D image), and uploaded to Google Drive (Upload 3D Image). 6. **Sheet Update**: The final 3D model URL is written back to the Google Sheet (Update result). --- ### **Set Up Steps** 1. **Prepare Google Sheet**: - Create a Google Sheet with columns: **IMAGE MODEL** and **3D RESULT** (empty). - Example sheet: [Google Sheet Template](https://docs.google.com/spreadsheets/d/1C0Et6X3Zwr_6CxeNjhLpDwjAfIGeUvLGFawckKb0utY/edit?usp=sharing). 2. **Obtain Fal.run API Key**: - Sign up at [Fal.ai](https://fal.ai/) and get an API key. - Configure the **Authorization** header in the Create 3D Image node with `Key YOURAPIKEY`. 3. **Configure Workflow Execution**: - Run manually via the **Test workflow** button. - For automation, set up the **Schedule Trigger** node (e.g., every 5 minutes). 4. **Verify Credentials**: Ensure Google Sheets, Google Drive, and Fal.run API credentials are correctly set in n8n. Once configured, the workflow processes new entries in the Google Sheet, generates 3D models, and updates the results automatically. --- ### **Need help customizing?** [Contact me](mailto:info@n3w.it) for consulting and support or add me on [Linkedin](https://www.linkedin.com/in/davideboizza/).
n8n$14.99Automate AI-Driven Data Extraction from PDFs with Dynamic Prompts and Baserow
Leverage dynamic prompts to automate data extraction from PDF files using Baserow and AI models. This workflow reduces maintenance and enhances flexibility by allowing prompt modifications without altering the workflow.
n8n$24.99Automate EU Sustainability Legislation Monitoring with n8n, OpenAI, and Google
This workflow automates the monitoring of EU legislative procedures related to sustainability, using n8n to scrape data, OpenAI for classification, and Google Sheets and Tasks for organization.
n8n$14.99Detect text within new Google Drive images using Google Cloud Vision (OCR) and save it to Google Drive as a new file
Every time a new image containing text is uploaded to your Google Drive folder, Make will detect the text using Google Cloud Vision (OCR) and save the text as a new file to a specified Google Drive folder.
Make$4.99Evaluate AI Summarization Quality from YouTube Transcripts
This n8n workflow evaluates the accuracy and faithfulness of AI-generated summaries based on YouTube video transcripts. It uses a scoring system to assess the quality of summaries produced by language models.
n8n$14.99Automate License Plate Extraction from Uploaded Images via Form
This workflow extracts license plate numbers from car images submitted through an n8n form, utilizing OpenRouter's LLM for image-to-text conversion.
n8n$4.99Automate 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.
n8n$19.99Automate Feature Request Collection and Analysis from Reviews to Jira with AI
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically gathers and analyzes feature requests from multiple sources including support tickets, user forums, and feedback platforms to help prioritize product development. It saves you time by eliminating the need to manually monitor various channels and provides intelligent feature request analysis. ## Overview This workflow automatically scrapes support systems, user forums, social media, and feedback platforms to collect feature requests from customers. It uses Bright Data to access various platforms without being blocked and AI to intelligently categorize, prioritize, and analyze feature requests based on frequency and user impact. ## Tools Used - **n8n**: The automation platform that orchestrates the workflow - **Bright Data**: For scraping support platforms and user forums without being blocked - **OpenAI**: AI agent for intelligent feature request categorization and analysis - **Google Sheets**: For storing feature requests and generating prioritization reports ## How to Install 1. **Import the Workflow**: Download the .json file and import it into your n8n instance. 2. **Configure Bright Data**: Add your Bright Data credentials to the MCP Client node. 3. **Set Up OpenAI**: Configure your OpenAI API credentials. 4. **Configure Google Sheets**: Connect your Google Sheets account and set up your feature request tracking spreadsheet. 5. **Customize**: Define feedback sources and feature request identification parameters. ## Use Cases - **Product Management**: Prioritize roadmap items based on customer demand. - **Development Teams**: Understand which features users need most. - **Customer Success**: Track and respond to feature requests proactively. - **Strategy Teams**: Make data-driven decisions about product direction. ## Connect with Me - **Website**: https://www.nofluff.online - **YouTube**: https://www.youtube.com/@YaronBeen/videos - **LinkedIn**: https://www.linkedin.com/in/yaronbeen/ - **Get Bright Data**: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission) #n8n #automation #featurerequests #productmanagement #brightdata #webscraping #productdevelopment #n8nworkflow #workflow #nocode #roadmapping #customervoice #productinsights #featureanalysis #productfeedback #userresearch #productdata #featuretracking #productplanning #customerneeds #featurediscovery #productprioritization #featurebacklog #uservoice #productintelligence #developmentplanning #featuremonitoring #productdecisions #feedbackgathering #productautomation
n8n$14.99Create Reusable Web Scraping Workflows in n8n
Learn how to build reusable workflows in n8n to efficiently scrape web pages and integrate them into larger automation projects.
n8n$4.99Create a Webhook-Ready Conversational Assistant with Google Dialogflow and Session Memory
## Universal AI Assistant - Webhook-Ready Conversational AI Transform any platform into an intelligent conversational experience with this plug-and-play n8n workflow. This AI assistant can be seamlessly integrated into websites, mobile apps, or any system that supports webhook connections. **Key Features:** - **Universal Integration** - Connect to any platform via webhook (websites, apps, bots). Powered by Google Gemini 2.0 Flash - Fast, accurate, and context-aware responses. - **Session Memory** - Maintains conversation context for natural follow-up interactions. - **Real-time Responses** - Instant webhook responses for smooth user experiences. - **Customizable Personality** - Easy prompt modification for brand-specific tone. ## Perfect For: - **Website Chat Widgets** - Add AI support to any website instantly. - **WhatsApp/Telegram Bots** - Power messaging platforms with intelligent responses. - **Mobile App Integration** - Embed conversational AI into iOS/Android apps. - **Customer Support Systems** - Automate first-line support with context retention. - **Lead Qualification** - Intelligent pre-screening of prospects before human handoff. ## Simple Implementation: Just send POST requests to the webhook URL with: ```json { "message": "User's question here", "sessionId": "unique-session-identifier" } ``` Ready to deploy in minutes - No complex setup required. Perfect for small businesses wanting to add AI capabilities without technical overhead. This workflow gives you a production-ready foundation that you can customize for specific client needs. The session-based memory makes it ideal for customer support scenarios where context matters, and the webhook approach means it integrates with virtually any platform your clients are already using.
n8n$9.99Automate and Summarize RSS Feeds with AI for Discord Notifications
This n8n workflow automates the monitoring of RSS feeds, summarizes content using AI, and sends updates to Discord while archiving data in Google Sheets.
n8n$14.99Deploy a Strava MCP Server for AI Integration
Set up a Strava MCP server to handle AI agent requests with zero configuration. This workflow supports all Strava operations, enabling seamless AI integration.
n8n$9.99Automate Creative Asset Management with AI Analysis and Google Sheets
Streamline the management of creative assets by automating analysis, organization, and compliance checks using ScrapeGraphAI and Google Sheets.
n8n$9.99Automate LinkedIn Engagement with AI and Slack Notifications
This workflow automates the discovery of LinkedIn advice articles, generates AI-powered contributions, and posts them to Slack and NocoDB for consistent engagement.
n8n$19.99Automate Website Conversion to AI-Ready Knowledge Bases
Effortlessly transform websites into structured, AI-ready datasets for LLMs, semantic search, and chatbot development using n8n.
n8n$19.99Create a new WordPress post for every new row in Google Sheets with a message from Claude
Generate blog posts on WordPress for each new row in Google Sheets, featuring a message generated by Claude. Streamline content creation with this integration.
Make$3.99Automate Image Analysis and Feedback in Telegram Using OpenAI
This workflow automates the process of analyzing images received via Telegram and provides insightful feedback using OpenAI, enhancing communication and moderation in Telegram groups.
n8n$4.99Evaluate AI Agent Response Correctness with OpenAI and RAGAS Methodology
### This n8n template demonstrates how to calculate the evaluation metric Correctness which in this scenario, measures, compares, and classifies the agent's response against a set of ground truths. The scoring approach is adapted from the open-source evaluations project [RAGAS](https://docs.ragas.io/) and you can see the source here [https://github.com/explodinggradients/ragas/blob/main/ragas/src/ragas/metrics/_answer_correctness.py](https://github.com/explodinggradients/ragas/blob/main/ragas/src/ragas/metrics/_answer_correctness.py) ### How it works - This evaluation works best where the agent's response is allowed to be more verbose and conversational. - For our scoring, we classify the agent's response into 3 buckets: True Positive (in answer and ground truth), False Positive (in answer but not in ground truth), and False Negative (not in answer but in ground truth). - We also calculate an average similarity score on the agent's response against all ground truths. - The classification and the similarity score are then averaged to give the final score. - A high score indicates the agent is accurate, whereas a low score could indicate the agent has incorrect training data or is not providing a comprehensive enough answer. ### Requirements - n8n version 1.94+ - Check out this Google Sheet for a sample data [https://docs.google.com/spreadsheets/d/1YOnu2JJjlxd787AuYcg-wKbkjyjyZFgASYVV0jsij5Y/edit?usp=sharing](https://docs.google.com/spreadsheets/d/1YOnu2JJjlxd787AuYcg-wKbkjyjyZFgASYVV0jsij5Y/edit?usp=sharing)
n8n$14.99Automate LinkedIn Post Creation from Articles Using Dumpling AI and GPT-4o
Streamline your LinkedIn content strategy by automatically generating posts from curated articles. This workflow leverages Dumpling AI and GPT-4o to extract insights and create engaging posts with accompanying images.
n8n$9.99Automate Reddit Comment Sentiment Analysis with AI and Store in Google Sheets
This workflow automates the process of analyzing Reddit comments for sentiment using AI and stores the results in Google Sheets. It helps in understanding public sentiment efficiently without manual effort.
n8n$14.99Call Analyzer with AssemblyAI Transcription and OpenAI Assistant Integration
### Video Guide I prepared a detailed guide that showed the whole process of building a call analyzer. [.png)](https://www.youtube.com/watch?v=kS41gut8l0g) ### Who is this for? This workflow is ideal for sales teams, customer support managers, and online education services that conduct follow-up calls with clients. It's designed for those who want to leverage AI to gain deeper insights into client needs and upsell opportunities from recorded calls. ### What problem does this workflow solve? Many follow-up sales calls lack structured analysis, making it challenging to identify client needs, gauge interest levels, or uncover upsell opportunities. This workflow enables automated call transcription and AI-driven analysis to generate actionable insights, helping teams improve sales performance, refine client communication, and streamline upselling strategies. ### What this workflow does This workflow transcribes and analyzes sales calls using AssemblyAI, OpenAI, and Supabase to store structured data. The workflow processes recorded calls as follows: 1. **Transcribe Call with AssemblyAI**: Converts audio into text with speaker labels for clarity. 2. **Analyze Transcription with OpenAI**: Using a predefined JSON schema, OpenAI analyzes the transcription to extract metrics like client intent, interest score, upsell opportunities, and more. 3. **Store and Access Results in Supabase**: Stores both transcription and analysis data in a Supabase database for further use and display in interfaces. ### Setup #### Preparation 1. **Create Accounts**: Set up accounts for [N8N](https://n8n.partnerlinks.io/2hr10zpkki6a), [Supabase](https://supabase.com/), [AssemblyAI](https://www.assemblyai.com/), and [OpenAI](https://openai.com/). 2. **Get Call Link**: Upload audio files to public Supabase storage or Dropbox to generate a direct link for transcription. 3. **Prepare Artifacts for OpenAI**: - **Define Metrics**: Identify business metrics you want to track from call analysis, such as client needs, interest score, and upsell potential. - **Generate JSON Schema**: Use GPT to design a JSON schema for structuring OpenAI's responses, enabling efficient storage, analysis, and display. - **Create Analysis Prompt**: Write a detailed prompt for GPT to analyze calls based on your metrics and JSON schema. #### Scenario 1: Transcribe Call with AssemblyAI 1. **Set Up Request**: - **Header Authentication**: Set `Authorization` with AssemblyAI API key. - **URL**: POST to `https://api.assemblyai.com/v2/transcript/`. - **Parameters**: - `audio_url`: Direct URL of the audio file. - `webhook_url`: URL for an N8N webhook to receive the transcription result. - **Additional Settings**: - `speaker_labels` (true/false): Enables speaker diarization. - `speakers_expected`: Specify expected number of speakers. - `language_code`: Set language (default: `en_us`). #### Scenario 2: Process Transcription with OpenAI 1. **Webhook Configuration**: Set up a POST webhook to receive AssemblyAI's transcription data. 2. **Get Transcription**: - **Header Authentication**: Set `Authorization` with AssemblyAI API key. - **URL**: GET `https://api.assemblyai.com/v2/transcript/<transcript_id>`. 3. **Send to OpenAI**: - **URL**: POST to `https://api.openai.com/v1/chat/completions`. - **Header Authentication**: Set `Authorization` with OpenAI API key. - **Body Parameters**: - **Model**: Use `gpt-4-2024-08-06` for JSON Schema support, or `gpt-4-mini` for a less costly option. - **Messages**: - `system`: Contains the main analysis prompt. - `user`: Combined speakers' utterances to analyze in text format. - **Response Format**: - `type`: `json_schema`. - `json_schema`: JSON schema for structured responses. 4. **Save Results in Supabase**: - **Operation**: Create a new record. - **Table Name**: `demo_calls`. - **Fields**: - **Input**: Transcription text, audio URL, and transcription ID. - **Output**: Parsed JSON response from OpenAI's analysis.
n8n$14.99
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