Quick Overview This workflow monitors Gmail for new messages, applies rule-based pre-classification, and uses OpenAI to categorize ambiguous emails as lead, review, or trash, then applies Gmail labels and schedules automatic deletion for trash threads. How it works Triggers every 5 minutes when a new Gmail message is received. Fetches the full email content from Gmail and extracts key fields like sender, subject, body, and thread ID. Applies deterministic rules to classify emails as team, meeting, website form, trash (bulk/OTP), or unknown. Adds Gmail labels for team and meeting emails, and skips processing for website form submissions. Sends only unknown emails to OpenAI for classification into LEAD, REVIEW, or TRASH and parses the returned JSON safely. Labels lead and review emails in Gmail, and for trash emails calculates a deletion timestamp, labels them as pending deletion, waits until that time, and then moves the entire Gmail thread to trash. Setup Connect a Gmail OAuth2 credential and ensure the trigger and Gmail actions point to the correct mailbox. Add an OpenAI API credential and select a model in the OpenAI classification step.
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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
AI: Summarize podcast episode and enhance using Wikipedia
The workflow automates the process of creating a summarized and enriched podcast digest, which is then sent via email. Note that to use this template, you need to be on n8n version 1.19.4 or later.
WTrack and analyze TikTok videos with Apify, OpenAI, and Google Sheets
Quick overview This workflow runs daily (or manually) to fetch recent videos from a list of TikTok accounts via Apify, transcribes each video with OpenAI, generates content insights and translations, and then appends or updates one row per video in Google Sheets. How it works Runs on a daily schedule (or manually) and loads configuration values like the date window, video limit, output language, and Apify actor. Reads the TikTok usernames to monitor from the accounts tab in Google Sheets. Calls the Apify TikTok Scraper API to retrieve the latest videos for each configured account. Filters and normalizes the results to keep only videos published within the last N days and extracts metrics, captions, hashtags, and download URLs. Downloads each video file and transcribes it with OpenAI speech-to-text. Sends the transcription plus caption and hashtags to OpenAI to extract a hook, classify the content, infer the video format, and translate the transcription. Writes the combined video metadata, transcription, and AI insights to the insights tab in Google Sheets using an append-or-update operation. Setup Create a Google Sheets spreadsheet with an accounts sheet containing a username colum