AI Workflows
Artificial Intelligence tools and workflows
Automate Job Search and Resume Optimization with AI and Airtable
Streamline your job application process by automating job searches, resume scoring, and customization using AI and Airtable.
n8n$14.99Automated Phone Interview Evaluation with Vapi, GPT-4o & Sheets
Processes phone interview transcripts via webhook, uses GPT-4o-mini for AI evaluation against criteria, extracts candidate data, and saves results to Google Sheets for HR teams.
n8n$19.99Automate WordPress Blogging with Deep Research and SEO Optimization
This workflow automates the creation and publishing of SEO-optimized blog posts on WordPress by conducting in-depth research on current topics, generating unique images, and embedding internal links. It enhances content quality and SEO while saving time.
n8n$24.99Enhance AI Chatbot Responses with InfraNodus Knowledge Graphs
Augment AI chatbot prompts using InfraNodus to incorporate knowledge graph reasoning, improving response quality with GraphRAG.
n8n$4.99AI Sales Agent for Telegram with Google Sheets Integration
Automate your sales process using a Telegram bot and sync with Google Sheets for efficient order management.
n8n$19.99Automate Gmail Cleanup with AI Validation and Telegram Alerts
Effortlessly manage your Gmail inbox by automatically deleting unwanted emails using AI validation, with real-time notifications via Telegram.
n8n$14.99Automate CV Screening & Candidate Validation with AI & Email Parsing
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This automated n8n workflow streamlines the process of screening CVs and validating candidate information using AI and email parsing. The system listens for new emails with CV attachments, extracts and processes the data, and either saves valid CVs to a target directory or notifies HR of invalid submissions. ## Good to Know - The workflow improves efficiency by automating CV screening and validation. - Ensures only CVs with essential fields (e.g., name, email, skills) are processed further. - Email notifications alert HR to incomplete or invalid CVs for timely follow-up. - The system pauses until all CV data is fully loaded to avoid processing errors. ## How It Works 1. **Trigger on New CV Email** - Detects new emails with CV attachments. 2. **Extract Text from PDF CV** - Parses content from attached PDF files. 3. **Ensure All CV Data Loaded** - Waits until all data is ready for processing. 4. **Parse & Structure CV Information** - Extracts structured details like name, skills, and experience using AI or custom logic. 5. **Check CV for Required Fields** - Verifies the presence of essential fields (e.g., name, email, skills). 6. **Save Valid CV to Folder** - Stores successfully validated CVs into a target directory. 7. **Notify HR of Invalid CV** - Sends an email alert for incomplete or invalid CVs. ## Data Sources The workflow processes data from email attachments: - **CV PDF Files** - Contains candidate information in PDF format. ## How to Use - Import the workflow into n8n. - Configure email account credentials for monitoring new CV emails. - Set up a target directory for storing validated CVs. - Test with sample CV PDFs to verify extraction and validation. - Adjust AI or custom logic based on specific required fields. - Monitor email notifications for invalid CVs and refine the process as needed. ## Requirements 1. Email account access with IMAP/POP3 support. 2. PDF parsing capabilities (e.g., OCR or text extraction tools). 3. AI or custom logic for data extraction and validation. 4. A target directory for storing validated CVs. ## Customizing This Workflow - Modify the Check CV for Required Fields node to include additional required fields (e.g., education, certifications). - Adjust the email notification format to include more details about invalid CVs. - Integrate with HR software for seamless candidate tracking. ## Details - The workflow ensures efficient CV screening by automating repetitive tasks. - Notifications help maintain a high-quality candidate pool by addressing issues early.
n8n$9.99AI-Powered Speechwriting Coach via Telegram with OpenAI and Google Gemini
This n8n workflow serves as an AI speechwriting coach, accessible through Telegram. It provides feedback on speech drafts, refines content iteratively, and generates improved speeches using AI models from OpenAI and Google Gemini.
n8n$14.99Automate LinkedIn Profile Enrichment with UniPile Data
Enhance LinkedIn message sender profiles by integrating UniPile's user and organization data, ensuring comprehensive and consistent information for lead routing.
n8n$9.99Automate 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.
n8n$14.99WordPress Auto-Blogging Pro - Content Automation Machine for SEO Topics
The best content automation in the market! This advanced workflow not only creates and publishes **SEO-optimized blog posts** to your **WordPress website** but also **backs up all content and images** to a designated folder in your Google Drive. In addition, it generates **a unique image for each chapter and a featured image for the overall article**, and it automatically collects internal website links—seamlessly inserting them throughout each chapter and the entire article. This integrated approach enhances on-page SEO, improves navigation, and streamlines your content creation process, saving you time while ensuring your work is securely stored.   ## How it works 1. Triggers upon adding a new row to a Google Sheets. 2. Generates a full blog post by writing content based on customizable parameters such as topic, target audience, length, style, and seed keyword. 3. Generates and adds images for each chapter as well as a featured image for the article. 4. Gathers internal website links and strategically embeds them within each chapter and throughout the article, boosting SEO and enhancing user navigation. 5. Publishes the blog post directly to your WordPress website. 6. Saves all content (blog post and images) to Google Drive, organizing them in a folder named after the blog post title. ## Unique features 1. **Full Automation:** The workflow is designed to be 100% automated. Once imported and configured, it can run without manual intervention. 2. **Simple Activation:** It can be easily triggered through the Google Spreadsheets interface. You simply add a new row to a Google Sheet. 3. **Customization Options:** Offers a wide array of customization options, including topic, category, target audience, word count, number of chapters, length of introduction and conclusion, and writing style. It also allows for the inclusion of calls-to-action (CTAs) and company/product introductions. 4. **Automatic Content Saving:** After writing a blog post, all content and images are automatically saved to Google Drive, preventing data loss. The folder is even named after the title of the blog post. 5. **SEO-Optimized Content:** It's designed to create content optimized for SEO using seed keywords. 6. **AI Model Flexibility:** It's super easy to switch between different AI models through the Open Router node. 7. **Rate Limit Handling:** Includes Wait nodes to avoid rate limits. 8. **Internal Link Limit:** Limits the number of internal links to 20 by default. ## Set up steps 1. **Install the workflow template:** Import the JSON file into your n8n instance. 2. **Connect the workflow to your accounts**: This includes linking your WordPress website, Google Drive, and AI models (such as OpenAI GPT-4). 3. **Configure the Google Sheet**: Ensure your Google Sheet is set up to trigger the workflow upon adding a new row and that the input data is correctly formatted. 4. **Customize the workflow**: Adjust parameters like topic, target audience, and writing style to match your specific content needs. Optimize prompts for best results. 5. **Test the workflow**: Use low-cost AI models and image settings initially to ensure everything runs smoothly. 6. **Tailor Further as Needed:** Modify workflow elements to align perfectly with your needs and content strategy.
n8n$24.99Automated Text Summarization via Webhook with ApyHub
Effortlessly summarize lengthy texts by sending a webhook request to ApyHub's API, streamlining content management and enhancing productivity.
n8n$4.99Automate 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.
n8n$14.99Extract Pay Slip Data with LINE Chatbot and Geminio to Google Sheets
## Workflow Overview: Extracting text from an image using AI is worthwhile because it requires no code. It incorporates the Google Gemini 2.0 Flash model for important text extraction from images. If you code without AI, you have to use multiple conditions and may cause a lot of bugs, but with Google Gemini, you don't need any coding, and if the Pay Slip is different, Gemini will extract it automatically. ## Workflow Description: 1. The user uses the Line Messaging API to send a Pay Slip image or message to the chatbot. Create a Line Business ID from here: [Line Business](https://account.line.biz/login). 2. Classify the message as either an image or text. 3. If the message is a Pay Slip image, it will be processed using Gemini 2.0 Flash EXP and extract important information and respond in JSON format without coding by using the following prompt: Analyze the image and then return in JSON Response that has the only following values: **Status, From, To, Date, Amount**.  To get the Google AI Studio API Key, you can find it from the following link: [Google AI Studio API Key](https://aistudio.google.com/apikey). 4. Create Google Sheets which include the fields **(Status, From, To, Date, Amount)** that we have created related to the AI prompt [Google Sheets](http://docs.google.com/spreadsheets) as the following example:  5. If the message is text, it will process using the Gemini 2.0 Flash EXP model as the AI Assistant; else if the message is an image, it will extract the important fields, then reply to the user and insert into Google Sheets. ## Key Features: * **Extract text from image with No Code** - Without N8N, we have to write code to extract text from an image, but with N8N and Google Gemini 2.0 Flash EXP together, we don't need to code, and it will process all slip vendors or other document vendors. * **Multipurpose Chatbot** - This chatbot accepts both text and image, so we don't have to create many chatbot accounts. * **Reduce human error** - This workflow lets any officer verify document status when the job ends. **Note:** You can change the information by changing your prompt and also Google Sheets Column names relatively.
n8n$14.99Generate AI-Ready XML Sitemaps from Screaming Frog Website Crawls
This workflow helps you generate an **llms.txt** file (if you're unfamiliar with it, check out [this article](https://towardsdatascience.com/llms-txt-414d5121bcb3/)) using a **Screaming Frog export**. [Screaming Frog](https://www.screamingfrog.co.uk/seo-spider/) is a well-known website crawler. You can easily crawl a website. Then, export the **internal_html** section in CSV format. ## How It Works: A **form** allows you to enter: - The **name of the website** - A **short description** - The **internal_html.csv** file from your Screaming Frog export Once the form is submitted, the **workflow is triggered automatically**, and you can **download the llms.txt file directly from n8n**. ## Downloading the File Since the last node in this workflow is **Convert to File**, you will need to **download the file directly from the n8n UI**. However, you can easily **add a node** (e.g., Google Drive, OneDrive) to automatically upload the file **wherever you want**. ## AI-Powered Filtering (Optional): This workflow includes a **text classifier node**, which is **deactivated by default**. - You can **activate it** to apply a more **intelligent filter** to select URLs for the `llms.txt` file. - Consider modifying the **description** in the classifier node to specify the type of URLs you want to include. ## How to Use This Workflow 1. **Crawl the website** you want to generate an `llms.txt` file for using **Screaming Frog**. 2. **Export the internal_html** section in CSV format.  3. In **n8n**, click **Test Workflow**, fill in the form, and **upload** the `internal_html.csv` file. 4. Once the workflow is complete, go to the **Export to File** node and **download the output**. **That's it! You now have your llms.txt file!** **Recommended Usage:** Use this workflow **directly in the n8n UI by clicking** Test Workflow and uploading the file in the form.
n8n$14.99Transform 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.
n8n$14.99Automate Image Creation with Flux Kontext Max via Replicate API
Streamline your image generation process by automating the use of the Flux Kontext Max AI model through the Replicate API within n8n. This workflow handles everything from API authentication to error management, ensuring reliable and efficient image creation.
n8n$9.99Automate Stock Information Retrieval via Telegram with Yahoo Finance and AI
This workflow automates the process of retrieving stock information from Yahoo Finance based on user queries in Telegram. It uses AI to extract and process stock-related data, providing users with up-to-date financial information.
n8n$9.99Create a Tax Code Knowledgebase Assistant with Qdrant, Mistral.ai, and OpenAI
This workflow builds a sophisticated knowledgebase assistant for tax code queries using Qdrant, Mistral.ai, and OpenAI. It optimizes data ingestion by splitting documents into chapters and sections, enhancing the chatbot's contextual understanding.
n8n$24.99Tesla News and Sentiment Analysis Tool (Powered by DeepSeek Chat)
**This AI-powered agent performs real-time sentiment analysis on Tesla (TSLA) news to support trading decisions**. It aggregates headlines from 5 trusted sources and uses **DeepSeek Chat** to classify sentiment and generate structured summaries. This tool is a critical sub-agent in the broader **Tesla Quant Trading AI Agent** system. **Not standalone** - this agent is designed to be executed by the [Tesla Quant Trading AI Agent](https://n8n.io/workflows/4092-tesla-quant-trading-ai-agent-using-telegram-gpt-41-main-interface/). Requires: **DeepSeek Chat API Key** --- ## Workflow Role This tool processes Tesla-related news and produces output like: ```json { "sentiment": "bullish", "summary": "Tesla stock rallied today after strong delivery numbers and Cybertruck updates. Analysts remain optimistic.", "topHeadlines": [ "Tesla beats Q2 delivery forecast - Yahoo Finance", "Cybertruck ramps up in Texas - Electrek", "Berlin Gigafactory expands battery production - CleanTechnica" ] } ``` Its output feeds directly into the master trading agent's final trade report. --- ## News Sources Used This agent collects real-time headlines from: * Google News (filtered by "Tesla" or "TSLA") * Yahoo Finance (TSLA-specific feed) * Electrek (Tesla archive) * CleanTechnica (Tesla sustainability news) * TeslaNorth (app/product release updates) These five tools are always queried together to ensure market-wide signal coverage. --- ## What the Agent Does 1. Pulls headlines from all 5 Tesla-specific RSS feeds 2. Uses **DeepSeek Chat** to: * Analyze narrative tone (bullish / bearish / neutral) * Identify macro/financial drivers * Generate a 2-3 sentence summary * Return top 3-5 headlines 3. Outputs structured JSON for downstream use --- ## Setup Instructions ### 1. Install & Name * Import this file and name it: `Tesla_News_and_Sentiment_Analyst_Tool` ### 2. Add DeepSeek API Credentials * Go to: **Credentials → Add New → DeepSeek API** * Save as: `DeepSeek account` ### 3. Internet Access Required * Ensure RSS feeds can fetch live headlines * Works best with a cloud-hosted n8n instance or tunnel-enabled local install ### 4. Must Be Triggered by Parent * Triggered via `Execute Workflow` by the Tesla Quant Trading AI Agent * Requires these inputs: * `message`: optional query context * `sessionId`: passed to maintain short-term memory across executions --- ## Agent Architecture | Node Name | Function | | ----------------------------- | ------------------------------------------------- | | `DeepSeek Chat Model` | Performs AI-based sentiment analysis | | `Tesla News and Sentiment Analyst` | Combines results, formats output in strict JSON | | `Simple Memory` | Stores session-level context (short-term memory) | | 5x `RSS` nodes | Aggregate Tesla news from trusted media outlets | --- ## Sticky Notes Included **Trigger from Parent Workflow** - Executed only by main TSLA agent **News Feeds Overview** - Lists and explains each of the 5 feeds **DeepSeek Chat Notes** - Describes LLM behavior and parsing role **Short-term Memory** - Buffers sentiment context during user session **Sentiment Analyst Agent** - Summarizes key responsibilities --- ## Licensing & Attribution © 2025 **Treasurium Capital Limited Company** This architecture, workflow structure, and prompt design are licensed for educational and operational use only. Commercial resale or rebranding prohibited without authorization. **Creator:** [Don Jayamaha](https://linkedin.com/in/donjayamahajr) **Templates:** [https://n8n.io/creators/don-the-gem-dealer/](https://n8n.io/creators/don-the-gem-dealer/) --- **Power your TSLA trading with AI-driven sentiment-built with DeepSeek Chat and 5 trusted news sources.** **This tool is required by the Tesla Quant Trading AI Agent.**
n8n$9.99Voice-Activated Workflow Automation with Vagent.io, Notion, and Google Calendar
Enable seamless voice interaction with AI agents to automate tasks and manage calendars using Vagent.io, Notion, and Google Calendar.
n8n$14.99Generate 9:16 Images from Content and Brand Guidelines
## Overview This **n8n workflow** automates the creation of 9:16 aspect ratio images optimized for short-form video content and thumbnails. It integrates multiple tools to retrieve content, generate scripts, and create AI-generated imagery. --- ## Key Features 1. **Trigger Workflow Manually** - The workflow starts when triggered manually in n8n. 2. **Retrieve Brand Guidelines** - Fetch brand elements like style, tone, and guidelines from Airtable. 3. **SEO Keywords and Blog Post Retrieval** - Retrieves blog posts and associated SEO keywords from Airtable to form the basis of image content. 4. **Content Preparation** - Uses GPT-4 to prepare a 4-scene script and thumbnail prompts for short-form videos. 5. **AI Image Generation** - Uses Leonardo.ai API to generate: - Thumbnail Images - Scene-specific Images (9:16 Aspect Ratio) 6. **Airtable Asset Management** - Generated assets (images) are saved back into Airtable with metadata like URLs and file sizes. --- ## Tools and Integrations - **n8n**: Workflow automation platform. - **OpenAI**: Generates scripts and prompts (GPT-4-O-MINI). - **Leonardo.ai**: AI tool for improving prompts and generating high-quality images. - **Airtable**: Used as a data source for brand guidelines, blog posts, and to store generated assets. --- ## Workflow Steps 1. **Manual Trigger** - Initiate the workflow. 2. **Retrieve Brand and SEO Guidelines** - Fetch essential brand elements like tone, style, and keywords. 3. **Filter and Fetch Blog Content** - Search for blog posts relevant to selected SEO keywords. 4. **Script Preparation** - Use GPT-4 to generate a script with image prompts for scenes and thumbnails. 5. **Image Generation** - Call Leonardo.ai to create: - Scene Images in 9:16 Aspect Ratio. - A Thumbnail Image with an improved prompt. 6. **Store Assets** - Save generated assets (images) to Airtable for future use. --- ## Workflow Structure ### Nodes Breakdown: - **Manual Trigger**: Start the workflow. - **Get Brand Guidelines**: Pull brand-related information (style, tagline, tone, etc.) from Airtable. - **Set Guidelines**: Prepare fetched data. - **Get SEO Keywords**: Retrieve keywords to filter relevant content. - **Keyword Filter**: Filter results for specified keywords (e.g., *AI Automation*). - **Script Prep**: Generate 4-scene scripts and prompts with GPT-4. - **Leo - Improve Prompt**: Improve image prompts for clarity and detail. - **Leo - Generate Image**: Create AI-generated images for scenes and thumbnails. - **Wait Nodes**: Ensures Leonardo image generation is complete. - **Add Asset Info**: Store the generated images back into Airtable with metadata. --- ## API Credentials Required Ensure the following credentials are configured in n8n: 1. **OpenAI API Key** 2. **Leonardo.ai API Key** 3. **Airtable API Token** --- ## Output - **Generated Images**: High-quality AI-generated images with a 9:16 aspect ratio. - **Saved Metadata**: Asset details (URLs, sizes, types) stored in Airtable. --- ## Usage 1. Import this workflow into n8n. 2. Set up your Airtable API, Leonardo.ai API, and OpenAI API credentials. 3. Run the workflow manually. 4. Monitor image generation and check the Airtable output for results. --- ## Tags - **OpenAI** - **RunwayML** - **Leonardo** - **Airtable** - **Video Automation** --- ## Author **AlexK1919** - AI-Native Workflow Architect - [More Workflow Templates](https://n8n.io/creators/alexk1919) - [YouTube Channel](https://www.youtube.com/@alexk1919_) - [Connect with Alex](https://beacons.ai/alexk1919)
n8n$24.99Analyze Tesla 15-Minute Market Trends with AI-Driven Indicators
Utilize AI to assess Tesla's short-term market momentum and structure using six technical indicators on a 15-minute timeframe. This workflow is part of a larger AI trading system.
n8n$9.99Automate Document Summarization from Google Drive to Google Sheets
Efficiently manage new Google Docs by automatically summarizing their content and storing the summaries in Google Sheets. This workflow enhances productivity by streamlining document processing and organization.
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