AI Automation
923 sonuç — tümü kaynağa bağlı n8n referansı
WSend weekly Vercel analytics digest emails with Groq and SMTP
Quick Overview This workflow runs every Monday, pulls the last 7 days of Vercel Web Analytics data, uses Groq (Llama 3.3 70B) to generate an HTML summary, and emails a weekly digest via SMTP, with an automatic raw-stats fallback if the AI step fails. How it works Runs every Monday at 9:00 AM based on your n8n instance timezone. Builds the reporting window and key settings (Vercel project/team IDs, site name, sender, and recipient) and generates millisecond timestamps for the last 7 days. Calls the Vercel Web Analytics Query API to fetch total page views and unique visitors, then fetches the top 5 pages and top 5 referrer hostnames for the same time range. Consolidates the three Vercel responses into a single JSON report with calculated pages-per-visit and defensive handling for missing or empty data. Sends the report to Groq Llama 3.3 70B to produce a structured HTML digest with headline, metrics, top pages, traffic sources, and a single actionable insight. If the Groq request errors, generates a plain HTML “raw numbers” version of the digest instead. Sends the final HTML digest email via SMTP using the configured sender and recipient addresses. Setup Create a Vercel API token and
Triage Gmail and draft replies with Ollama, Telegram and Google Sheets
Quick Overview This workflow pulls unread Gmail messages, uses a local Ollama Llama 3.1 model to classify and extract action items, drafts a reply, and sends an approval request to Telegram before creating a threaded Gmail draft and logging the decision to Google Sheets. How it works Runs manually and fetches up to 10 unread emails from Gmail. Normalizes each email into a consistent structure (sender, subject, body, message ID, and thread ID) and classifies it with Ollama into urgent, action_needed, fyi, or spam. Continues only for emails classified as urgent or action_needed and marks all other categories as skipped. For actionable emails, uses Ollama to extract a task title and deadline and to draft a short professional reply as structured JSON. Sends the classification, extracted task/deadline, and draft reply to Telegram and waits for you to approve or decline. If approved, creates a Gmail draft reply in the original thread, adds a Gmail label (STARRED), and logs the approval/rejection plus details to Google Sheets. Setup Connect your Gmail OAuth2 credential and ensure it has permission to read messages, create drafts, and add labels. Install and run Ollama, pull the llama3.1:l
Triage support tickets with Claude Sonnet, Infini Analytics, and Slack
Quick overview Automatically triage incoming support tickets with an AI agent powered by Claude Sonnet. High-confidence responses are sent instantly, low-confidence cases escalate to a human on Slack, and every step is logged in Infini Analytics for full observability. How it works A webhook receives the incoming support ticket and generates a unique execution_id to correlate every event of this run. Infini Analytics logs a START event for the execution. An AI Agent (Claude Sonnet) reads the ticket, optionally queries a knowledge base data table, and drafts a response with a confidence score. The agent logs structured ticket data via a data table tool (Infini Analytics records this as an EVENT). An IF node checks the confidence: high-confidence tickets get an automatic reply and log an EVENT; low-confidence tickets escalate to a human on Slack and log a WARNING. Infini Analytics logs the final END event, or an ERROR event if any step failed along the way. Setup Import this workflow into your n8n instance and open it in the editor. Create an Anthropic credential with your Claude API key and select it in the AI Agent node Create an Infini Analytics credential with your Bearer Token,
WRun a Telegram RAG support chatbot with OpenAI, Pinecone, and Google Sheets
Quick overview This workflow turns a Telegram bot into a multi-modal support chatbot that accepts text, voice, images, and PDFs, converts them to text, retrieves relevant knowledge from Pinecone using OpenAI embeddings, generates a grounded answer with OpenAI Chat Completions, and logs each conversation to Google Sheets. How it works Triggers when a new message is received by your Telegram bot. Detects whether the message is text, a voice note, a photo, a PDF document, or an admin-only /ingest command, and extracts the needed user and file identifiers. For voice, image, and PDF inputs, downloads the file from Telegram and converts it into text using OpenAI Whisper, OpenAI Vision, or PDF text extraction. Builds a single query text from the normalized input and creates an embedding with the OpenAI Embeddings API. Queries Pinecone for the top 3 most relevant knowledge base chunks and assembles them into a context block. Sends the query and retrieved context to the OpenAI Chat Completions API to generate an answer constrained to the provided knowledge. Sends the reply back to the user in Telegram and appends a conversation log row (including session ID and chunk count) to Google Sheets
Create Xero AR/AP Markdown snapshots with optional OpenAI GPT summaries
Quick overview This workflow runs on a schedule to pull outstanding customer invoices and supplier bills from Xero, ranks the top 5 by amount due, and generates a Markdown AR/AP snapshot (optionally adding an OpenAI-based narrative summary). How it works Runs on a scheduled trigger (weekly by default). Sets report metadata and Xero invoice filters for receivables (ACCREC) and payables (ACCPAY) with AmountDue > 0. Fetches all matching authorised customer invoices and supplier bills from Xero. Normalizes dates and amounts, calculates days outstanding, sorts by amount due, and keeps the top 5 items for each list. Merges both lists and builds a Markdown snapshot with two tables and reporting notes. Outputs the final snapshot data (and, if enabled, sends the Markdown to OpenAI via an AI Agent to prepend a short AI summary). Setup Add a Xero OAuth2 credential and select the correct Xero tenant/organization ID used by the Xero nodes. Update the tenant/organization value in the snapshot settings (replace YOUR_XERO_TENANT_ID) and adjust the cadence label if needed. Configure the Schedule Trigger interval (weekly/monthly/quarterly/annual) to match your reporting rhythm. Optional: add an Open
Draft LinkedIn posts from RSS feeds with OpenAI, Google Sheets and Slack
Quick overview This workflow runs daily at 7am, reads an RSS feed, uses OpenAI to score articles for niche relevance and draft LinkedIn posts, then appends approved candidates to a Google Sheets review queue and notifies a Slack channel. How it works Runs every day at 7:00 AM on a scheduled trigger. Reads items from the configured RSS feed and keeps only articles published in the last 24 hours. Limits the list to the first five recent articles to reduce processing volume. Uses OpenAI to score each article’s relevance (0–10) and generate an angle and hot take in structured JSON. Filters to only the articles with relevance scores of 7 or higher. Uses OpenAI to write a 120–180 word LinkedIn draft in your specified voice based on the article, angle, and hot take. Appends the draft and metadata to a Google Sheets “Drafts” tab and posts a notification to a Slack channel for review. Setup Add OpenAI credentials for both OpenAI nodes and customize the audience/beat and voice instructions in the prompts. Add a Google Sheets OAuth credential, set the spreadsheet ID, and ensure a “Drafts” sheet exists with matching columns (Date, Angle, Status, Relevance, Draft Post, Source Link, Source Title
Triage Japanese freelance gig emails with Gmail, Gemini, Sheets, Drive, and Calendar
Quick overview This workflow monitors Gmail for Japanese side-gig inquiries, flags risky wording, and uses Google Gemini to extract details and score each request. It logs every opportunity to Google Sheets, then drafts an accept/clarify/decline reply and, for accepted work, creates a Drive folder, Docs templates, and a Calendar block. How it works Triggers every minute when a new Gmail message matching the configured Japanese inquiry search query arrives. Cleans and normalizes the email content, detects the likely source platform, and checks the subject/body for Japanese red-flag keywords to produce an initial risk score. Sends the normalized email plus freelancer settings to Google Gemini to extract structured project details, scores, red flags, and Japanese draft replies. Combines Gemini’s scores with keyword-based risk signals to decide accept/hold/decline, calculates a recommended minimum price from your hourly rate and minimum fee, and generates a project ID and safe project title. Appends the opportunity (scores, decision, red flags, and draft text) to a Google Sheets tracking spreadsheet. Routes by decision to create a Gmail draft for clarification questions (hold) or a pol
Schedule YouTube Shorts to Pinterest with Apify, Gemini, and an OpenAI model
Quick overview This workflow receives YouTube Shorts webhook events, downloads the video via Apify, uses Google Gemini and an OpenAI-compatible chat model to generate Pinterest SEO metadata and choose a board, then schedules a Pinterest video pin through Zernio (Late) for publishing. How it works Receives a webhook request for YouTube PubSubHubBub verification and responds with the provided hub challenge. Receives a POST webhook event for a new YouTube video and extracts the title, video ID, channel ID, and video URL from the feed payload. Uses Apify to fetch and process the YouTube Short and returns a downloadable MP4 URL. Sends the video to the Google Generative Language (Gemini) API to generate an analysis used for Pinterest-focused metadata. Uses a LangChain LLM chain (with structured output validation) to produce a Pinterest-ready title, description, hashtags, and a board selection from a fixed list. Maps the selected board name to a Pinterest board ID and schedules the video post to Pinterest via the Zernio (Late) API. Setup Create the YouTube webhook/PubSubHubbub subscription and configure it to call this workflow’s webhook URL at the manga-monarch-webhook path for both veri
Extract and validate invoice data with Google Gemini and Google Sheets
Quick overview This workflow accepts an invoice file via an n8n chat trigger, uses Google Gemini to extract structured invoice data, validates it against an existing Google Sheets log, appends valid line items to the sheet, and sends a formatted confirmation or failure alert via Gmail. How it works Receives a chat message with an uploaded invoice document. Uses Google Gemini to extract the vendor, invoice number, date, total amount, and all line items as a clean JSON object. Converts the extracted JSON into per-line-item records, builds an HTML invoice summary for email, and loads existing rows from Google Sheets for comparison. Validates each item by checking for missing critical fields and whether the invoice number already exists in Google Sheets. If validation passes, appends each line item as a new row in Google Sheets and then prepares a summary of the inserted data. Sends a Gmail message with the formatted HTML invoice breakdown when processing succeeds, or sends a Gmail alert email explaining the validation failure. Setup Add Google Gemini (PaLM) API credentials and ensure the chat trigger allows file uploads so the invoice is available as binary input. Connect Google Sheet
Handle real estate SMS inquiries with Twilio, Google Sheets, Gemini, and Calendar
Quick overview Youtube Explanation: https://youtu.be/e_07nGFmVs0 This workflow replies to inbound Twilio SMS messages with property details and viewing scheduling help by looking up leads and properties in Google Sheets, using a Google Gemini agent with Redis chat memory, and checking/booking appointments in Google Calendar. How it works Receives an inbound SMS via Twilio. Looks up the sender’s mobile number in a Google Sheets “leads_info” spreadsheet and appends/updates the lead record if it does not exist, extracting a 4-digit property code from the message when available. Splits any saved semicolon-separated property IDs into individual lookups, fetches matching property rows from a Google Sheets “Property details” spreadsheet, and compiles a summary of found vs. missing property codes. Sends the user message, lead context (saved property IDs and email), current time, and the property-lookup results to a Google Gemini chat agent with Redis-backed conversation memory. Lets the agent optionally use tools to fetch additional property info from Google Sheets, update the lead’s email or interested property IDs in Google Sheets, and check or create viewing events in Google Calendar. S
Generate structured drama scripts from webhook requests using OpenAI and Google Sheets
Quick overview This workflow accepts a webhook request with a drama topic, genre, tone, and size constraints, uses Python-based genre classification plus OpenAI GPT‑4.1 to generate a full script as structured JSON, then returns the script to the caller and appends a summary log entry to Google Sheets. How it works Receives a POST webhook request containing the script topic, genre, tone, language, act count, and character count. Normalizes inputs by applying defaults, clamping acts to 1–5 and characters to 2–8, and adding request metadata like a request ID and timestamp. Classifies the genre in Python and prepares genre-specific guidance used to shape the script structure, then filters out requests marked as invalid. Sends the prepared parameters and genre guidance to OpenAI (GPT‑4.1) to generate a complete drama script as a single JSON object. Parses and validates the AI response as JSON, falls back to a safe wrapper if parsing fails, and enriches the result with counts for acts, scenes, and characters. Waits briefly and then returns the structured script to the webhook caller while also appending a summary row to a Google Sheets tab for tracking. Setup Configure the Webhook trigge
Send crowd safety SMS reroute alerts with OpenAI, Twilio, and Google Sheets
Quick overview This workflow ingests crowd density and incident reports via webhook or a 5‑minute schedule, assesses risk with Python thresholds, uses OpenAI to generate a short rerouting recommendation, then sends an SMS via Twilio and logs each alert to a Google Sheets heatmap tracker. How it works Triggers when a POST request hits the n8n webhook or every 5 minutes on a schedule. Normalizes incoming fields (location, crowd density, safety score, incidents, traveler contact, and preferences) and fills in defaults when values are missing. Calculates risk level in Python based on configurable thresholds for high density, incident count, and low safety score. Continues only for high-risk items and pauses briefly before the AI call. Uses OpenAI (via an AI agent) to generate a personalized rerouting suggestion under 150 words from the live data and traveler preferences. Sends the rerouting alert to the traveler via Twilio SMS and appends the alert details and reroute text to a Google Sheets log via the Google Sheets API. Setup Add an OpenAI API credential and select the model in the OpenAI Chat Model connection. Configure Twilio credentials (Account SID and Auth Token), replace YOUR_T
Handle theater ticket bookings with Anthropic, Google Sheets, SendGrid, and Twilio
Quick overview This workflow receives theater ticket booking requests via webhook, validates and normalizes them with Anthropic Claude, assigns seats and calculates pricing from a Google Sheets seat map, then logs the booking, sends confirmation via SendGrid email and Twilio SMS, and returns a confirmation JSON response. How it works Receives a booking request via an HTTP POST webhook and standardizes fields like show details, ticket count, and customer contact info. Uses Anthropic Claude to validate and normalize the booking request, then filters out requests with a low validation score. Retrieves the current SeatMap data from Google Sheets and assigns specific seat numbers if enough seats remain in the requested category. Calculates the final ticket total based on seat category pricing, bulk-discount rules, and tax. Uses Anthropic Claude to generate a personalized confirmation message, upsell line, and arrival instructions. Builds a final booking record (including a QR payload string), appends it to a Google Sheets tracker, sends the confirmation by SendGrid email and Twilio SMS, and responds to the webhook with the booking confirmation JSON. Setup Add an Anthropic API credential
Create AI image and video posts from Telegram with GPT-4o, AtlasCloud and Blotato
Quick overview This workflow receives a post idea via Telegram, uses OpenAI (GPT-4o mini) to generate platform-specific copy plus image/video prompts, creates media through AtlasCloud (GPT Image 2 and Seedance 2.0), requests approvals in Telegram, and publishes the approved content to seven social platforms via Blotato. How it works Triggers when a new Telegram message arrives with a post description. Uses OpenAI (GPT-4o mini) to generate copy for X, LinkedIn, Facebook, Threads, Instagram, TikTok, and YouTube Shorts, plus an English image prompt and video prompt. Sends the prompts to AtlasCloud to generate a square image (GPT Image 2) and a vertical short video (Seedance 2.0), polling each prediction until it completes. Sends the generated image and video back to Telegram for preview and asks for approval, automatically regenerating the declined media. Publishes the approved image to X, LinkedIn, Facebook, and Threads via Blotato and confirms completion in Telegram. Publishes the approved video to Instagram Reels, TikTok, and YouTube Shorts via Blotato (with synthetic/AI flags enabled where configured) and confirms completion in Telegram. Setup Create a Telegram bot with BotFather,
Generate AI songs from Telegram prompts with OpenAI and Suno
Quick overview This workflow listens for Telegram messages containing a song idea, uses OpenAI to expand the idea into a Suno-ready prompt, submits a generation request to the Suno API, polls until the track is ready, and then sends the finished audio and details back to the user in Telegram. How it works Triggers when a user sends a message to your Telegram bot. Captures the message text and chat ID, applies default generation settings, and sends an acknowledgment message back on Telegram. Uses OpenAI to rewrite the short idea into a concise, Suno-optimized music prompt based on your style preferences. Submits the enriched prompt to the Suno API to start generating a song. Waits for a configured interval, checks the Suno generation status, and repeats polling until the status is SUCCESS. Sends the generated audio URL to the user as a Telegram audio message and follows up with a completion message including the title and duration. Setup Create and select a Telegram Bot credential for the Telegram trigger and the Telegram send-audio/message steps. Add an OpenAI API credential for the OpenAI chat model used to enrich the prompt. Create an HTTP Header Auth credential for the Suno API
Create and publish AI video reels to Instagram from Telegram with OpenAI and AtlasCloud
Quick overview This workflow turns a Telegram message into an AI-generated vertical video using AtlasCloud Seedance 2.0, generates an Instagram-ready caption with OpenAI, publishes the reel via Blotato, and sends a Telegram confirmation with the published video URL. How it works Triggers when a new message is received by your Telegram bot. Uses OpenAI to expand the message into a short, visually descriptive 9:16 text-to-video prompt. Sends the prompt to AtlasCloud (Seedance 2.0) to generate a vertical video with the configured size, duration, and FPS. Waits and polls AtlasCloud for the prediction status until the video completes. Uses OpenAI to write a playful Instagram caption with 3–5 hashtags based on the video prompt. Publishes the generated video URL as an Instagram Reel through Blotato using the generated caption. Sends a Telegram message confirming the Reel is published and includes the final video URL. Setup Create a Telegram bot and add your Telegram credentials to both the trigger and the notification steps. Add an OpenAI API credential and select it for both prompt and caption generation. Create an AtlasCloud API key and configure an HTTP header auth credential (Authoriz
Transcribe WhatsApp voice notes and auto-reply with OpenAI Whisper and GPT-4o
Quick overview This workflow receives WhatsApp Cloud API webhook events, transcribes incoming voice notes with OpenAI Whisper, generates a reply with OpenAI GPT-4o, and sends the response back to the sender via the WhatsApp Graph API while also handling plain text messages. How it works Receives WhatsApp webhook requests for verification (GET) and incoming messages (POST) from the Meta WhatsApp Cloud API. Validates the webhook verify token and returns the hub challenge to complete Meta webhook verification. Parses the inbound webhook payload to extract the sender number, phone number ID, message type, and either text content or an audio media ID. For voice notes, calls the WhatsApp Graph API to resolve the media ID to a temporary download URL, downloads the audio file, and transcribes it to text with OpenAI Whisper. For text messages, uses the incoming text directly as the user prompt. Sends the message text to OpenAI GPT-4o with a system prompt to generate a concise reply in the same language. Posts the generated reply back to the user using the WhatsApp Graph API messages endpoint and returns an OK response to the webhook. Setup Create a Meta app with WhatsApp Cloud API enabled,
Score and triage job candidates with OpenAI o3-mini (OpenRouter) and ClickUp
Quick overview This workflow collects candidate CVs through an n8n Form, extracts text from a PDF, uses OpenRouter (OpenAI o3-mini) to score and summarize the candidate, and creates a ClickUp task with the evaluation for recruiter review. How it works Receives a CV submission through an n8n Form trigger (PDF upload plus message, captcha question, and consent). Extracts text content from the uploaded PDF CV. Validates that the CV text exists, the captcha answer is correct, and the candidate consent field is set to “I agree”. Sends the CV text and the candidate’s optional message to an OpenRouter chat model (openai/o3-mini) to generate a score, suggested best-fit role, and a short summary. Creates a new ClickUp task containing the AI output so the recruiting team can review the candidate. Setup Configure the n8n Form trigger fields and publish the form, then share the generated form URL with candidates. Add an OpenRouter API credential for the OpenRouter chat model used to score and summarize candidates. Add a ClickUp OAuth2 connection and select the target Workspace/Space/Folder/List in the ClickUp task creation step where candidates should be added.
Summarize Slack threads into Jira tickets with OpenRouter and Slack approval
Quick Overview This workflow turns a Slack slash-command request into an AI-drafted Jira ticket preview, then creates the Jira issue only after a user approves it in Slack using interactive buttons. How it works Receives a Slack slash command via a webhook and immediately responds with an ephemeral acknowledgement message. Reads configuration values (message count, Jira project key/type, and Slack context) and fetches recent messages from the Slack channel using the Slack conversations.history API. Cleans and formats the Slack messages into a chronological transcript, returning an error payload if no usable messages are found. Sends the transcript to an OpenRouter chat model (via an n8n AI agent) to generate a structured Jira ticket draft JSON. Parses the draft JSON and posts an ephemeral Slack preview containing the proposed title, type, priority, description, acceptance criteria, and Approve/Cancel buttons. Receives the Slack button interaction via a second webhook, parses the interaction payload, and either creates a Jira issue or cancels the request. Updates the Slack preview message to confirm ticket creation or show a cancellation notice. Setup Create a Slack app and configur
Extend videos with audio using Fal, OpenAI, and Upload-Post for TikTok
Quick overview This workflow accepts a video URL and prompt, uses Fal.ai (ltx-2.3-quality) to extend the video forward with generated audio, generates an SEO-friendly title with OpenAI, downloads the finished video, and uploads it to TikTok via the Upload-Post API. How it works Triggers from either an n8n Form submission or an incoming Webhook request containing video_url and prompt. Sends the video URL and prompt to Fal.ai’s ltx-2.3-quality extend-video endpoint to start an asynchronous high-quality render with audio generation enabled. Waits 60 seconds and repeatedly polls Fal.ai’s queue status endpoint until the job status returns COMPLETED. Fetches the completed Fal.ai request details to retrieve the final generated video URL. Sends the original prompt to OpenAI (GPT-5) to generate a short, clickable, SEO-oriented video title. Downloads the generated video file and uploads it to Upload-Post with the generated title, targeting the TikTok platform. Setup Add a Fal.run API credential (HTTP Header Auth) and confirm the extend-video and status/request URLs match your Fal.ai account and model. Add an OpenAI API credential and, if needed, change the model in the title-generation step.
Draft Google review reply emails with Gmail, OpenAI, and Google Sheets
Quick Overview This workflow monitors Gmail for Google Business Profile “new review” alert emails, uses OpenAI to extract the rating and review text and draft a policy-safe reply, then emails the draft to you and logs the review and reply draft to Google Sheets. How it works Triggers when a new Google Business Profile review notification email arrives in Gmail. Looks up the email’s message ID in a Google Sheets ledger to prevent drafting duplicate replies. Sends the email content and your configured business details to OpenAI to extract the rating, reviewer first name, and review text and generate a reply draft as structured JSON. Emails you a formatted message containing the review excerpt, the suggested reply, and a link to your Google reviews page. Appends a new row to Google Sheets with the message ID, extracted review details, the reply draft, a timestamp, and a “draft-sent-to-owner” status. Setup Connect your Gmail account and ensure Google review alerts are delivered from [email protected]. Add an OpenAI API key/credential and select the chat model in the OpenAI node. Create a Google Sheets “reply ledger” with columns like processed_at, gmail_message_id, rat
Vet community membership applications with Google Gemini, Telegram, and Sheets
Quick overview This workflow collects community membership applications via an n8n Form, vets each candidate with Google Gemini using Tavily web search and an Apify LinkedIn lookup, requests human approval in Telegram when needed, sends invite or rejection emails via Gmail, and logs outcomes to Google Sheets. How it works Receives a submission from an n8n Form that captures applicant details such as name, email, company, role, birthday, and additional notes. Normalizes the submitted fields and passes the candidate profile to a Google Gemini-powered AI Agent that can use Tavily web search, an Apify LinkedIn search actor, a calculator, and short-term memory. Produces a structured vetting result (including summary, decision status, and a community-fit score) using a structured output schema. If the AI decision is “Immediate approval”, sends the candidate summary to Telegram and waits for a response before continuing. If the AI decision is not “Immediate approval”, sends the summary to Telegram and asks the reviewer to reply with 1 (approve), 2 (reject), or 3 (do nothing). Sends an approval/invite email or a rejection email via Gmail based on the Telegram response, or stops without act
Run Bunker Guard NPC chat and RAG lore checks with Google Gemini and Google Drive
Quick overview This workflow powers dynamic character interactions for investigative games. It ingests lore from Google Drive into a vector database, using Google Gemini agents to generate daily briefings, spawn NPCs, and roleplay interrogations via a webhook. How it works Runs on a manual trigger to download a lore PDF from Google Drive, split it into chunks, create Google Gemini embeddings, and store them in an in-memory vector store for retrieval. Receives a POST webhook request from the game client containing game state and an action value (briefing, init, or chat). Routes the request based on action to either generate a morale-based daily intel briefing, create a new NPC profile for the day, or generate an in-character reply to the player’s interrogation message. When factual lore is needed (routes, locations, prices, rules, professions), the Gemini agent queries the Database_Bunker vector-search tool to ground the response in the ingested PDF. Maintains short conversation context per player using a buffer memory keyed by playerId for ongoing chat and NPC interactions. Returns the agent output to the caller as clean JSON via the webhook response. Optionally, triggers on an n8n
Generate sound effects from chat with Groq, ElevenLabs and Google Drive
Quick Overview This workflow turns an n8n Chat message into a generated sound effect using Groq (Llama 3.3) to refine the prompt, calls the ElevenLabs sound-generation API to create an MP3, uploads the file to Google Drive, and replies in chat with a shareable link. How it works Receives a message in an n8n Chat trigger containing the user’s description of a sound. Uses Groq (Llama 3.3) to rewrite the description into a single detailed ElevenLabs sound-effects prompt and choose duration and prompt-influence settings. Parses the model’s JSON response and clamps duration (0.5–30s) and prompt influence (0–1), falling back to the original message if parsing fails. Sends the prompt and settings to the ElevenLabs sound-generation API and downloads the generated MP3. Uploads the MP3 to Google Drive with a timestamped filename based on the prompt text. Responds in chat with the prompt used, the final settings, and a Google Drive link, or returns a friendly error message if generation fails. Setup Create an ElevenLabs API credential using HTTP Header Auth (header name xi-api-key) and select it on the ElevenLabs request. Add a Groq API credential and select it on the Groq Llama model node. C