AI Agent Workflows
518 Ergebnisse — ausschließlich quellenverknüpfte n8n-Referenzen
Verify loan documents and score eligibility with Claude and Google Sheets
Quick overview This workflow receives loan applications via webhook, uses Anthropic Claude to verify document text and generate an underwriting recommendation, calculates an explainable risk score in code, logs each application to Google Sheets, and sends decision emails through SendGrid before returning a JSON response. How it works Receives a loan application via a POST webhook, including applicant details and extracted text from ID, income proof, and bank statement documents. Uses Anthropic Claude to extract key fields from the documents and cross-checks them against the applicant’s declared name, employer, and income to produce a verification score and inconsistency list. Stops early and returns a “Documents Insufficient” webhook response when the verification score is below the threshold. Calculates verified income, estimated monthly installment, debt-to-income and loan-to-income ratios, and a weighted 0–100 risk score and tier from credit score, ratios, employment tenure, bank health, and document consistency. Waits briefly, then uses Anthropic Claude to generate an eligibility recommendation (Approve, Conditional Approval, Manual Review, or Decline) with reasoning, condition
Create a Gmail morning audio briefing with Google Gemini and Google Drive
Quick Overview This workflow runs every weekday at 7 AM to fetch up to 10 unread Gmail messages from the last day, summarize them into a narrated script with Google Gemini, convert the script to an MP3 using Smallest.ai, upload it to Google Drive, and email you a public listening link. How it works Runs on a schedule every weekday at 7:00 AM. Pulls up to 10 unread Gmail emails from the last 24 hours. Cleans and categorizes the emails into URGENT, NEWSLETTERS, and OTHER sections while skipping common job-alert style messages. Uses a LangChain AI Agent powered by Google Gemini to turn the digest into a plain-text morning briefing script. Truncates the script to a safe character limit and converts it to speech as an MP3 with Smallest.ai. Uploads the MP3 to Google Drive, makes the file publicly readable, and sends a Gmail message with the listening link and the script text. Setup Connect your Gmail credentials for both reading unread emails and sending the briefing email, and update the recipient address in the outgoing email step. Add Google Gemini credentials in the Google Gemini Chat Model used by the AI Agent. Add your Smallest.ai API credentials for text-to-speech generation. Conn
Create narrated blog audio from RSS with Google Gemini, Smallest.ai and WordPress
Quick Overview This workflow polls a blog RSS feed, rewrites new posts into a spoken-word script using Google Gemini, generates an MP3 with Smallest.ai, uploads it to Google Drive, and updates the matching WordPress post to embed a public audio player. How it works Polls an RSS feed every minute to detect newly published or updated blog items. Extracts the post body and strips HTML, scripts, styles, and common entities to produce clean plain text. Uses Google Gemini to rewrite the text into a single, conversational narration script with an intro/outro and length limits. Sends the rewritten script to Smallest.ai to synthesize an English MP3 audio file. Uploads the MP3 to Google Drive and updates sharing so anyone with the link can play it. Updates the corresponding WordPress post to embed an HTML5 audio player pointing to the Google Drive link and includes the article text below it. Setup Set the RSS feed URL in the RSS Feed Trigger node and confirm the feed provides the fields used for the post content and GUID. Add credentials for Google Gemini (Google AI / Gemini) and select that connection in the chat model used by the rewrite step. Add your Smallest.ai API credentials and verif
Qualify leads and send personalized audio follow-ups with Gemini and Smallest.ai
Quick Overview This workflow receives lead submissions via a webhook, uses Google Gemini to qualify the lead and write a personalized spoken follow-up script, and for qualified leads generates an MP3 with Smallest.ai, shares it from Google Drive, emails it via Gmail, logs outcomes to Google Sheets, and alerts sales in Slack. How it works Receives a POST webhook request containing a lead’s name, email, and message. Sends the lead details to a Google Gemini–powered AI agent to determine whether the lead is qualified and, if so, generate a short personalized audio script. Parses the agent’s JSON response and routes the workflow based on the qualified flag. If the lead is qualified, Smallest.ai synthesizes the script into an MP3 and uploads it to Google Drive. Shares the Google Drive audio file publicly and sends the lead a Gmail message with a link to listen. Appends the qualified lead record (including the audio link and timestamp) to Google Sheets and posts a notification to a Slack channel. If the lead is unqualified, appends the lead details and timestamp to Google Sheets without generating audio or sending email. Setup Enable the webhook and copy the generated /lead-capture URL i
Transcribe and summarize Twilio calls with Smallest.ai, Gemini, Slack, and GoHighLevel
Quick Overview This workflow listens for completed Twilio call recordings, downloads and transcribes the audio with Smallest.ai, summarizes the transcript with Google Gemini, then notifies a Slack user and creates a new opportunity in GoHighLevel. How it works Triggers when Twilio Voice Insights reports a call summary as complete. Downloads the call recording audio from Twilio using the provided recording URL. Sends the audio file to Smallest.ai to generate a speech-to-text transcription. Uses a Google Gemini-powered AI agent to produce a short call summary, caller sentiment, and a suggested next step from the transcript and call metadata. Sends the generated summary to a specified Slack user. Creates a new opportunity in GoHighLevel that includes the caller number and AI summary. Setup Connect your Twilio credentials and ensure Twilio Voice Insights call summary events are enabled for your account. Add your Smallest.ai API credentials for the transcription step. Configure Google Gemini credentials in the LangChain Google Gemini chat model used by the AI agent. Connect your Slack credentials and set the target user (or change to a channel) for notifications. Connect your GoHighLeve
Analyze YouTube comments with OpenAI, Google Sheets, and Gmail
Quick overview This workflow monitors a Google Sheets list of YouTube video IDs, fetches video details and top comments from the YouTube Data API, analyzes the comments with OpenAI into structured sentiment and themes, emails an HTML report via Gmail, and writes the results back to Google Sheets. How it works Triggers every minute when a row in Google Sheets is added or updated. Reads the video ID and status from the row and continues only if the status is set to “Pending”. Calls the YouTube Data API to fetch the video’s metadata and the top comment threads for that video. Flattens the comment threads, calculates basic stats (comment count and average likes), and compiles a limited comment text block for analysis. If comments exist, sends the compiled comments and video title to OpenAI to generate a structured analysis (sentiment score, sentiment breakdown, themes, questions, feedback, insights, and summary). Builds an HTML email report from the structured results, sends it to the configured recipient with Gmail, and updates the Google Sheet row with the analysis fields; if no comments exist, marks the row as “No comments”. Setup Create or duplicate a Google Sheet with at least “Vi
Enrich company records with social media links using GPT-4o and Supabase
Quick overview This workflow is manually triggered to pull company names and websites from Supabase, crawl each site with an OpenAI-powered agent to extract social media profile URLs, and write the enriched results to a separate Supabase table. How it works Runs when you manually execute the workflow. Reads all rows from the Supabase companies_input table and keeps the name and website fields for processing. Uses an OpenAI (GPT-4o) agent to crawl the company website, following discovered links and extracting social media profile URLs. Forces the agent output into a structured JSON schema and maps the extracted links into a social_media array. Merges the original company name and website with the extracted social media data. Inserts the enriched record into the Supabase companies_output table. Setup Add a Supabase credential and set the correct project details for both reading from companies_input and writing to companies_output. Add an OpenAI API credential for the GPT-4o chat model used by the crawling agent. Ensure your input table has name and website fields or update the field selection and mapping to match your schema. Confirm the output table accepts the mapped fields (for ex
CAnswer WooCommerce order and DHL tracking questions with GPT-4 chat
Quick overview This workflow serves a demo web page with an n8n chat widget and runs an OpenAI-powered support agent that looks up WooCommerce orders and DHL tracking details by calling the same workflow as a tool. How it works Serves a demo HTML page via a webhook that embeds the n8n Chat widget configured to start a chat session. Triggers a new conversation when the chat widget connects and provides a customer email (mocked in this template) as session metadata. Uses an OpenAI (GPT-4) chat model with short-term memory to answer order-related questions and decide when to fetch live order data. Calls the same workflow as a tool with the customer email (and optional comma-separated order IDs) to retrieve matching WooCommerce orders. Looks up the WooCommerce customer by email, fetches their orders, and extracts shipment tracking metadata from each order. For orders with DHL tracking numbers, queries the DHL API for current shipment status, then merges tracking results back into the order data. Returns a JSON response containing the customer’s orders and any available DHL tracking details to the agent for use in the chat reply. Setup Add a WooCommerce API credential and update the sto
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Summarize Zoom meetings and create follow-ups with OpenAI, ClickUp, and Outlook
Quick overview This workflow pulls the transcript and participant list from a recent Zoom meeting, uses OpenAI to generate formal meeting minutes, emails the summary via SMTP, and runs an AI agent that creates ClickUp tasks and (when details exist) schedules a follow-up meeting in Microsoft Outlook Calendar. How it works Starts when you manually run the workflow. Fetches your scheduled Zoom meetings and keeps only those that started within the last 24 hours. Requests the meeting recording files from Zoom, stops with an error if no transcript is available, then extracts the transcript download URL. Downloads the Zoom transcript file, extracts its text, and reformats it into clean, readable dialogue. Pulls the Zoom meeting participant list (including emails) and sends the transcript and participants to OpenAI to generate structured meeting minutes. Formats the minutes into an HTML email and sends the summary via SMTP to a participant email address. Uses an OpenAI-powered agent to extract action items and follow-up details from the same transcript, then creates tasks in ClickUp and creates a follow-up event in Microsoft Outlook Calendar when scheduling information is present. Setup Ad
WSend weekly blended ad performance reports with Meta Ads, Google Ads, GA4 and OpenAI
Quick overview This workflow runs every Monday at 8am, pulls last-7-days performance data from the Meta Ads API, Google Ads API, and Google Analytics 4, calculates blended KPIs, uses OpenAI to generate a client-friendly insight summary, and delivers an HTML report by Gmail while posting status update to Slack. How it works Runs every Monday at 8am on a schedule trigger. Fetches the last 7 days of spend and engagement metrics from the Meta Ads Insights endpoint. Fetches the last 7 days of campaign cost, clicks, and conversions from the Google Ads API using a streamed search query. Fetches the last 7 days of conversions and revenue by default channel group from the Google Analytics 4 Data API. Combines the three datasets and calculates blended totals for spend, conversions, revenue, and ROAS. Sends the blended metrics to OpenAI to generate a 3–4 sentence plain-language weekly performance summary. Builds a simple HTML report and sends it to the client via Gmail while posting a short “report sent” summary to a Slack channel. If the workflow execution fails, posts the error message to an ops Slack channel. Setup Add credentials and replace the placeholders for your Meta Ads token and ad
Recommend supplier consolidation with Google Sheets, Groq, Slack and Gmail
Quick overview This workflow runs weekly to read supplier spend data from Google Sheets, detect overlapping suppliers across departments, estimate potential consolidation savings, and use Groq-hosted LLM analysis to assess risk and produce recommendations that are sent to Slack and emailed via Gmail. How it works Runs every week on a scheduled trigger. Reads supplier records from a Google Sheets spreadsheet and keeps key fields like supplier name, department, spend, risk rating, and stakeholder email. Groups and normalizes supplier names to find suppliers used by multiple departments and calculates estimated savings and an opportunity level. Sends each consolidation opportunity to a Groq chat model to evaluate risk versus savings and return a JSON decision and recommendation. Parses the AI JSON output, merges it with the calculated savings data, and formats a final recommendation record. Posts the recommendation to a Slack channel and emails a formatted report to the supplier stakeholder email address. Setup Connect your Google Sheets OAuth account and update the spreadsheet ID and sheet/tab to match your supplier records. Add a Groq API credential for the chat model used to evalua
Score and triage inbound leads with Groq, Slack, Google Sheets, and Google Tasks
Quick Overview This workflow captures leads via an n8n form, stores them in an n8n Data Table, uses a Groq Llama 3.3 chat model to score and categorize each lead and draft a reply, optionally alerts in Slack and creates a Google Task, and writes the results back to the Data Table. How it works Receives a new lead submission through an n8n Form trigger (name, email, company, source, and message). Saves the submitted lead into an n8n Data Table and keeps only the fields needed for scoring. Sends the lead details to a Groq Chat Model via an AI Agent to generate a JSON response with a score (1–100), tier (Hot/Warm/Cold), and a suggested reply. Uses the AI Agent’s tool actions to post an alert to Slack and create a task in Google Tasks only when the lead’s score is above the defined threshold. Parses the AI Agent output as JSON and updates the original Data Table row with the generated score, tier, and reply. Setup Configure the n8n Form trigger and embed or share its URL where you collect leads. Create or select an n8n Data Table for leads and ensure it includes columns for score, tier, reply, and an id used to match rows during updates. Add a Groq API credential and select the Groq ch
SRun a voice-enabled AI assistant on Telegram with OpenAI, Gmail and Notion
Quick overview This workflow turns a Telegram bot into a personal assistant that handles text and voice messages using OpenAI, can read Gmail and Google Calendar, looks up tasks and contacts in Notion, and can draft and send emails with a required approval step in Telegram. How it works Triggers when a new Telegram message is received by your bot. Detects whether the message is a voice note or text, and if it is voice, downloads it from Telegram and transcribes it with OpenAI. Sends the resulting user text to an OpenAI-powered agent that keeps a short conversation memory per chat. When needed, the agent fetches recent emails from Gmail, lists upcoming events from Google Calendar, and pulls tasks or contacts from Notion to answer the request. If the agent decides to send an email, it asks for approval in Telegram and only proceeds after you approve within the time limit. Sends the assistant’s final response back to the same Telegram chat. Setup Create a Telegram bot with @BotFather, add the Telegram credentials in n8n, and use the workflow’s Telegram trigger to connect the bot. Add an OpenAI API credential for both chat responses and voice transcription, and set your preferred model
Generate daily auto-service AI videos and post them with OpenAI, Perplexity, AtlasCloud, and Blotato
Quick overview This workflow runs daily (or manually) to research an auto-service topic with Perplexity, generate a caption and text-to-video prompt with OpenAI, render an AI video via AtlasCloud, then publish it to TikTok, YouTube, Instagram, and Facebook through Blotato while sending a Telegram preview. How it works Runs every morning on a schedule (or starts via a manual trigger). Loads your business settings (name, topic, language, video format, and CTA) from a central configuration. Uses Perplexity web research plus an OpenAI chat model to produce a structured caption, hashtags, and a cinematic text-to-video prompt. Sends the prompt to AtlasCloud to generate a short vertical video and waits before polling AtlasCloud for the render status. Repeats the wait-and-check loop until AtlasCloud reports the video render as completed. Prepares the final caption and video URL, then publishes the video to TikTok, YouTube, Instagram Reels, and Facebook Reels via Blotato and sends a Telegram message with the post preview and video link. Setup Add credentials for OpenAI, Perplexity, AtlasCloud (HTTP Header Auth), Blotato, and Telegram. Update the Configuration values (business name, topic, C
Create AI product video ad Shorts from Telegram photos with OpenAI and AtlasCloud
Quick overview This workflow takes a product photo sent via Telegram, uses OpenAI Vision to describe it and OpenAI to write a short-form video ad prompt, generates a vertical video via AtlasCloud, then (after two approvals in Telegram) publishes the Short to YouTube via Blotato. How it works Triggers when a user sends a product photo (optionally with a caption/campaign) to a Telegram bot. Downloads the image from Telegram and uses OpenAI Vision to extract an advertising-focused product description. Uses OpenAI to generate a single cinematic text-to-video prompt plus a YouTube Shorts title and description. Sends the proposed prompt to Telegram and waits for your approval before proceeding. If approved, requests video generation from AtlasCloud and polls the render status until the video is completed. Sends the generated video back to Telegram for preview and waits for a second approval to publish. If approved, publishes the video to YouTube as an unlisted Short via Blotato and notifies you in Telegram (otherwise it stops and sends a decline message). Setup Create and connect a Telegram bot credential, then start a chat with the bot so it can receive photos and send approval prompts.
Publish AI social posts from Telegram to LinkedIn, Instagram, Facebook and Threads with OpenAI and Blotato
Quick overview This workflow listens for a Telegram message or voice note, uses OpenAI to turn it into a cross-platform social caption and matching AI image, publishes the post via Blotato to LinkedIn, Instagram, Facebook, and Threads, then sends a confirmation back to Telegram. How it works Triggers when a new Telegram message is received by your bot. Routes the input as voice or text, downloading voice notes from Telegram and transcribing them with OpenAI. Sends the resulting text to an OpenAI chat model to generate a single ready-to-publish caption plus an image prompt. Generates an image with OpenAI (gpt-image-1) using the returned image prompt. Uploads the generated image to Blotato to get a hosted media URL. Publishes the caption and image to LinkedIn, Instagram, Facebook Pages, and Threads through Blotato. Sends a Telegram message confirming publication and includes the posted caption. Setup Create a Telegram bot in @BotFather, add the bot token as a Telegram credential in n8n, and activate the Telegram Trigger. Add an OpenAI API credential for audio transcription, caption generation, and image generation, and (optionally) adjust the model, language, image size, and quality
WSend weekly blended ad performance reports with Meta, Google Ads, GA4 and OpenAI
Quick overview This workflow runs every Monday at 8am to pull the last 7 days of performance from Meta Ads, Google Ads, and GA4, calculate blended KPIs, generate an OpenAI-powered narrative summary, email an HTML report via Gmail, and post an internal update (and errors) to Slack. How it works Runs every Monday at 8am on a scheduled trigger. Fetches the last 7 days of spend and engagement metrics from the Meta Ads Insights API, campaign cost and conversion metrics from the Google Ads API, and conversions and revenue by channel from the GA4 Reporting API. Combines the three datasets and calculates blended KPIs including total spend, total conversions, total revenue, and ROAS. Sends the computed metrics to an OpenAI chat model to generate a 3–4 sentence client-friendly performance summary with one risk and one recommendation. Builds a simple HTML report containing the KPIs and AI summary. Emails the HTML report to the client via Gmail and posts a brief confirmation with spend and ROAS to a Slack channel. If the workflow fails, posts an error alert message to an ops Slack channel. Setup Configure authentication for the HTTP requests to Meta Ads (access token), Google Ads (OAuth/access
Manage Google and Trustpilot reviews with OpenAI and Slack
Quick overview This workflow runs hourly to fetch new Google Business Profile and Trustpilot reviews, deduplicates them, uses OpenAI via a LangChain agent to draft sentiment-aware replies, escalates negative reviews in Slack, and routes positive replies to Slack for approval before posting the reply back to Trustpilot. How it works Runs every hour on a schedule. Fetches the latest reviews from the Google Business Profile API and the Trustpilot API and combines the results. Deduplicates reviews by tracking previously seen review IDs in workflow static data and stops if there are no new reviews. Processes each new review and uses OpenAI (via a LangChain agent) to generate structured JSON containing sentiment, a draft reply, and an optional suggested resolution. Sends negative reviews to a Slack channel for the owner along with the suggested resolution. Sends positive draft replies to Slack for one-tap approval (with a 24-hour timeout) and, if approved, publishes the reply to the Trustpilot API. Sends a Slack alert to the ops channel if the workflow errors. Setup Configure authentication and replace placeholders for the Google Business Profile reviews endpoint (account and location) i
WHandle WhatsApp support chats with OpenRouter, Pinecone, and Gemini
Quick overview This template implements a WhatsApp support suite that logs inbound events to a dashboard API, routes conversations through an OpenRouter-powered AI agent with Pinecone RAG and memory, exposes a webhook for human outbound replies, and provides a webhook to summarize recent chats for handoff. How it works Triggers on WhatsApp Cloud API events and routes status updates (sent/delivered/read) to a dashboard API endpoint for storage. For inbound messages, looks up the contact in the dashboard API and normalizes the message into a consistent schema (sender, type, timestamp, and best-effort content). If the message contains media (image/video/audio/document), fetches the WhatsApp media URL, downloads the file, uploads it to the dashboard’s media endpoint, and attaches the resulting media URL and MIME type. Stores inbound messages and reactions in the dashboard API, then checks via the cases endpoint whether the sender already has an open case. If the inbound message is text and no open case is found, queries Pinecone as a tool (using Google Gemini embeddings), uses an OpenRouter chat model with conversation memory to draft a reply or create a new case via the dashboard API,
Generate executive decision briefings from APIs with OpenAI and Google Sheets
Quick overview This workflow runs daily or via an on-demand webhook to pull financial metrics, operational KPIs, and market quotes via HTTP APIs, then uses OpenAI to detect anomalies and generate an executive briefing that is POSTed to a dashboard endpoint and logged to Google Sheets. How it works Runs on a daily schedule or receives a POST request via a webhook to start an executive briefing run with a configurable lookback period. Fetches financial metrics, operational KPIs, and market data in parallel from three HTTP API endpoints and continues even if one source fails. Merges and normalizes the three datasets into a single snapshot, marking missing sources as unavailable so downstream steps keep a consistent structure. Uses OpenAI to analyze the snapshot for anomalies, unusual trends, and data gaps, returning a severity-scored findings JSON. Uses OpenAI again to turn the anomaly findings and raw metrics into a structured executive briefing with a health score, risks, opportunities, and recommended actions. Formats a final JSON payload and delivers it by POSTing to your dashboard endpoint and appending a summary row to a Google Sheets tracker. If the run was triggered by the web
Create TikTok carousel posts with Upload Post, Google Sheets, Gemini, GPT-4.1
Quick overview This workflow runs daily to pull TikTok post and profile analytics from Upload Post, updates a Google Sheets performance log, uses Google Gemini and OpenAI to generate a new carousel concept and caption, creates four images via fal.ai, publishes to TikTok, and updates a persistent “Agent Skill” sheet. How it works Runs on a daily schedule (or manually) and loads product, Upload Post, and Google Sheets configuration values. Reads the Google Sheets “Performance Log,” selects posts missing stats or posted recently, fetches TikTok post analytics from the Upload Post API, and writes updated metrics back to the sheet. Aggregates the refreshed history, fetches TikTok profile analytics from Upload Post, reads the “Agent Skill” sheet, and compiles a single context summary. Uses Google Gemini (via a structured JSON output) to generate a TikTok carousel plan including caption, strategy notes, four slide prompts, hashtags, and an engagement question. Sends the four prompts to fal.ai to generate four 9:16 PNG carousel images and collects their hosted image URLs. Uses OpenAI (GPT-4.1) to write a short TikTok photo-post description, publishes the carousel to TikTok via Upload Post
SRun a Telegram voice and chat assistant with OpenAI, Gmail, Calendar, and Notion
Quick overview This workflow turns a Telegram bot into a personal assistant that understands text or voice notes (transcribed with OpenAI), can read Gmail and Google Calendar, look up Notion tasks and contacts, and can draft and send emails with an approval step in Telegram. How it works Triggers when a new Telegram message arrives. Loads assistant settings (name, OpenAI model, languages, memory window) and checks whether the message is a voice note or plain text. If it is a voice note, downloads the audio from Telegram and transcribes it with OpenAI; otherwise it uses the message text as the user input. Sends the user input to an OpenAI-powered agent that keeps short-term chat memory and decides whether to call Gmail, Google Calendar, or Notion tools to answer the request. If the agent decides to send an email via Gmail, it asks for explicit approval in Telegram before proceeding. Sends the agent’s final response back to the user in Telegram. Setup Create a Telegram bot with @BotFather, add your Telegram credentials in n8n, and start a chat with the bot so it can reply to you. Add an OpenAI API credential and set the desired chat model and transcription language in the Configurati
Route WhatsApp support requests with Claude, Supabase, HubSpot and Slack
Quick overview This workflow turns incoming WhatsApp messages (text, audio, images, and documents) into actionable support interactions by extracting content, detecting sentiment, and using an AI agent with a Supabase knowledge base to route requests to Google Calendar, HubSpot, Slack, Gmail, and back to WhatsApp. How it works Receives incoming WhatsApp messages via a WhatsApp webhook trigger. Routes the message by type and converts it into text using OpenAI Whisper for audio, OpenAI GPT-4o Vision for images, or a PDF extractor for documents (or passes text messages through). Loads the sender’s session context from Supabase and runs sentiment/language detection on the extracted text. Uses a LangChain AI agent (Claude) with Supabase vector search (with OpenAI embeddings and Cohere reranking) plus tool access (Google Calendar, HubSpot, Slack, and Gmail) to produce a structured intent, response, and metadata. Logs conversation analytics (intent, sentiment, message type, and response length) to an n8n Data Table. Routes by intent to either create a Google Calendar event, create/update a HubSpot contact, email a document via Gmail (and upload it to Google Drive), create a HubSpot ticket
Track RSS events with OpenAI GPT-4.1-mini, Google Sheets, and Outlook
Quick overview This automated pipeline monitors an RSS feed, leverages an OpenAI chat model to extract event details into structured JSON, logs the data to Google Sheets, and triggers real-time email notifications via Microsoft Outlook. How it works Trigger: An RSS node polls the specified feed every minute to detect new entries. Batching: A Loop node isolates each RSS item to ensure accurate, individual processing without data overlap. AI Extraction: An AI Agent, powered by OpenAI, extracts the event title, date, URL, and description, formatting the output strictly as JSON. Sanitization: A custom JavaScript Code node cleans the LLM response by stripping markdown blocks and parsing the JSON object. Database Logging: The Google Sheets node maps the parsed keys and appends a new row for the event. Alerting: An Outlook node dispatches an automated notification email, and the loop continues for the next item. Setup Configure the RSS Feed Trigger by pasting your target feed URL. Add your OpenAI API credentials to the OpenAI Chat Model node (verify your specific model identifier, e.g., gpt-4o-mini Authenticate the Google Sheets node via OAuth and select your destination spreadsheet and w