This n8n template automates triaging of newly opened support tickets and issue resolution via JIRA. If your organisation deals with a large number of support requests daily, automating triaging is a great use-case for introducing AI to your support teams. Extending the idea, we can also get AI to give a first attempt at resolving the issue intelligently. How it works A scheduled trigger picks up newly opened JIRA support tickets from the queue and discards any seen before. An AI agent analyses the open ticket to add labels, priority on the seriousness of the issue and simplifies the description for better readability and understanding for human support. Next, the agent attempts to address and resolve the issue by finding similar issues (by tags) which have been resolved. Each similar issue has its comments analysed and summarised to identify the actual resolution and facts. These summarises are then used as context for the AI agent to suggest a fix to the open ticket. How to use Simply connect your JIRA instance to the workflow and activate to start watching for open tickets. Depending on frequency, you may need to increase for decrease the intervals.
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This workflow is for anyone looking to automatically fetch, validate, and parse complex language-based queries into a structured format. Its unique capability lies in not only processing language but also fixing invalid outputs before structuring them. Note that to use this template, you need to be on n8n version 1.19.4 or later.
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.
Confirm and log WhatsApp restaurant orders with Groq and Google Sheets
Quick Overview This workflow triggers on incoming WhatsApp orders, uses Groq to extract items and quantities, validates them against a live Google Sheets menu, logs the result to an orders sheet, and replies to the customer with either a clarification request or a priced confirmation (with optional VIP owner alerts). How it works Triggers when a new WhatsApp message is received on your WhatsApp Business Cloud number. Sends the message text to Groq (Llama 3.3) to extract a structured list of ordered items and quantities. Reads the latest menu (item name, price, availability) from a Google Sheets “Menu” tab. Matches extracted items to the menu, checks availability, calculates line subtotals and the total price, and compiles any validation issues. If there are issues, replies to the customer on WhatsApp asking for a corrected order and appends a “needs_clarification” entry to the Google Sheets “Orders” tab. If the order is valid, appends a “confirmed” entry to the Google Sheets “Orders” tab and sends a WhatsApp confirmation with the item summary and total. If the confirmed total meets or exceeds the VIP threshold, sends a separate WhatsApp notification to the owner number. Setup Conne