OpenAI Chat Model workflow'ları
480 sonuç — tümü kaynağa bağlı n8n referansı
WMonitor competitor pricing page changes with OpenAI, Google Sheets and Slack
Quick overview This workflow checks competitor pricing pages each morning, compares the latest visible text to the previous snapshot stored in Google Sheets, and uses OpenAI to summarize meaningful changes before posting an alert to a Slack channel. How it works Runs every day at 08:00 on a schedule. Reads your configured list of competitor page URLs and processes each URL individually. Fetches each page’s HTML, extracts the visible body text, and trims it to a snapshot for comparison. Looks up the previous snapshot for the same URL in Google Sheets. If a previous snapshot exists and the content differs, OpenAI generates a 1–3 bullet summary of meaningful changes based on your watch criteria. Posts the change summary to Slack and then appends or updates the URL’s latest snapshot and “Last Checked” timestamp in Google Sheets. If no previous snapshot exists or no change is detected, it skips the Slack alert and only saves the current snapshot to Google Sheets. Setup Add credentials for Google Sheets, Slack, and OpenAI (Chat) and select the target Slack channel. Create or choose a Google Sheet with columns named URL, Content, and Last Checked, and set the Spreadsheet ID and sheet name
Triage Gmail and draft replies with GPT-5 Mini and Google Sheets
Quick overview This workflow watches your Gmail inbox for new unread emails, uses OpenAI (GPT-5 Mini) to classify each message by priority and category, logs the triage results to Google Sheets, and creates a Gmail draft reply only when the email needs a personal response. How it works Triggers every minute when a new unread email arrives in Gmail. Applies your configured preferences (name, role, categories, and drafting style) to guide the triage. Sends the email content to OpenAI (GPT-5 Mini) to return a structured priority, category, one-line summary, whether a reply is needed, and an optional draft reply. Appends or updates a row in Google Sheets with the email details and triage results. If the email needs a reply, creates a draft reply in Gmail in the same thread addressed to the original sender. Setup Connect your Gmail account (Gmail Trigger and Gmail Draft) and ensure the trigger is set to monitor unread mail as desired. Add an OpenAI credential and select the GPT-5 Mini chat model in the OpenAI node. Connect Google Sheets OAuth credentials, then set the target spreadsheet document ID and sheet name for the triage dashboard. Create a Google Sheet with columns for Date, Fro
Run a Telegram voice assistant with OpenAI GPT-5 Mini and Google Calendar
Quick overview This workflow turns a Telegram bot into a personal assistant that accepts text or voice notes, transcribes audio with OpenAI, uses a memory-enabled AI agent for replies and calculations, and creates Google Calendar reminder events from natural-language requests. How it works Triggers whenever a new Telegram message is received by your bot. Routes the message based on type, sending text directly to the assistant, voice notes to transcription, and other message types to a fallback reply. For voice notes, downloads the audio from Telegram and transcribes it to text using OpenAI. Sends the user’s text (typed or transcribed) to an OpenAI chat model powered agent that remembers the last 15 messages per chat and can use a calculator tool. When the user asks for a reminder or event, the agent creates a Google Calendar event with AI-generated title and start/end times. Sends the agent’s final response back to the originating Telegram chat. Setup Create a Telegram bot with @BotFather, add a Telegram credential in n8n, and enable updates for the Telegram Trigger. Add an OpenAI credential with access to the chat model and audio transcription used in the workflow. Add a Google Ca
Handle WhatsApp support text and voice messages with OpenAI GPT-5 Mini
Quick overview This workflow responds to incoming WhatsApp Business messages, handling both text and voice notes by transcribing audio with OpenAI and replying with an OpenAI chat agent that uses per-contact conversation memory and answers only from the business information you provide. How it works Triggers when a new WhatsApp message is received. Routes the incoming message by type, sending text messages directly to the support flow, audio messages to a voice-transcription flow, and other message types to a fallback reply. For voice notes, retrieves the WhatsApp media URL, downloads the audio file, and transcribes it to text with OpenAI. Sends the customer’s text (original or transcribed) to an OpenAI chat agent configured to answer only using your provided business information. Stores and reuses a per-contact conversation history keyed by the sender’s WhatsApp number to maintain context across messages. Sends the agent’s response back to the customer as a WhatsApp text message. Setup Connect WhatsApp Business Cloud credentials for both receiving messages (trigger) and sending replies, and ensure your WhatsApp webhook is configured to point to the trigger URL. Add OpenAI credenti
Answer customer questions on WhatsApp with OpenAI, Gmail, and Google Sheets
Quick overview This workflow answers incoming WhatsApp customer questions using an OpenAI-powered agent that reads your live website via HTTP requests, escalates unclear or sensitive cases to your support team via Gmail, and logs each conversation to Google Sheets. How it works Triggers when a new WhatsApp message is received. Loads configuration values (company name, website root URL, AI model, language rules, escalation email, and WhatsApp phone number ID) and extracts the customer phone number and message text. Ignores non-text WhatsApp updates (such as images, audio, and status messages). Uses OpenAI with conversation memory to navigate your website by listing links and fetching relevant pages, then generates a structured result containing an answer, escalation flag, sentiment, topic, and source URLs. If the agent marks the request as needing a human, sends an escalation email via Gmail to your support address with the customer details and the drafted reply. Sends the final plain-text reply back to the customer on WhatsApp. Appends the conversation details to a Google Sheets log. Setup Connect credentials for WhatsApp Trigger/WhatsApp Cloud API, OpenAI, Gmail, and Google Sheets
Run a personal assistant for calendar, Gmail and utilities with OpenAI and MCP
Quick overview This workflow runs a chat-based OpenAI assistant in n8n that calls three MCP servers for Google Calendar management, Gmail search and draft replies, and utility tools for weather, currency conversion, and calculations. How it works Receives a chat message in n8n to start or continue a conversation. Loads the assistant configuration (model, memory window, and system prompt) and sends the user message to an OpenAI chat model with short-term conversation memory. When the assistant needs calendar actions, it calls an MCP server that searches, creates, updates, or deletes Google Calendar events. When the assistant needs email actions, it calls an MCP server that searches Gmail messages and creates draft replies for user review. When the assistant needs quick utilities, it calls an MCP server that fetches weather from wttr.in, converts currency using frankfurter.app, or runs calculations. Returns the assistant’s response back to the chat, including any results from the MCP tool calls. Setup Add credentials for OpenAI, Google Calendar (OAuth2), and Gmail (OAuth2) in n8n. Activate the workflow, then copy each MCP Server Trigger Production URL for the Calendar, Gmail, and Uti
Send daily AI news digests from RSS feeds with OpenAI, Telegram and Gmail
Quick overview This workflow runs every morning at 8 AM, pulls articles from multiple RSS feeds, deduplicates and trims the list, uses OpenAI (GPT-5 Mini) to write a short plain-text news digest, and delivers the same digest to a Telegram chat and a Gmail inbox. How it works Runs daily at 8:00 AM on a schedule. Splits your configured RSS feed URL list into individual feeds and fetches the latest articles from each one, continuing even if a feed fails. Removes duplicate articles by link, keeps only the newest items up to your maxArticles limit, and trims each item to title, link, publish date, and a short snippet. Combines all cleaned articles into a single JSON list and sends it to OpenAI (GPT-5 Mini) to select 5–8 top stories and generate a single plain-text digest under 3,500 characters. Sends the generated digest to your specified Telegram chat. Emails the same digest as a plain-text message through Gmail. Setup Add an OpenAI credential and ensure the GPT-5 Mini model is available in your account. Create a Telegram bot with @BotFather, add the Telegram credential in n8n, and set your target telegramChatId (for example by using @get_id_bot). Connect a Gmail account in n8n and set
Run a multimodal WhatsApp AI assistant with OpenAI for text, voice and images
Quick overview This workflow turns WhatsApp into a multimodal assistant that answers text, voice notes, images, and PDF documents using OpenAI, and can generate images with DALL·E on demand, replying back in WhatsApp with either text, audio, or an image. How it works Triggers when a new WhatsApp message is received. Detects whether the incoming message is text, a voice note, an image, a PDF document, or an unsupported type. For text messages, generates an image with OpenAI DALL·E when the message starts with the configured /image command, and sends the generated image back to the sender. For voice notes, fetches the WhatsApp media URL, downloads the audio, transcribes it with OpenAI, and forwards the transcript to the assistant. For images, fetches the WhatsApp media URL, downloads the image, describes it with OpenAI vision using the configured analysis prompt, and forwards the description (plus any caption) to the assistant. For PDF documents, downloads the file from WhatsApp, extracts the PDF text, and forwards the extracted content (plus any caption) to the assistant, while non-PDF files receive an error message. Uses an OpenAI chat model with per-contact short-term memory to ge
Screen LinkedIn jobs and send tailored applications with Apify and OpenAI
Quick overview This workflow collects your job preferences via an n8n form, uses Apify to scrape LinkedIn job listings, and has OpenAI screen and rank them. After you approve a shortlist by Gmail, it generates tailored resume and cover-letter PDFs with DocRaptor, emails them to you, and logs matches to Sheets How it works Receives your job preferences and resume text through an n8n form submission. Sends the preferences to Apify to scrape recent LinkedIn jobs, then removes duplicates and obvious mismatches (seniority, years of experience, and location). Uses OpenAI to score each job’s relevance and eligibility and returns a JSON verdict with a fit score and short reason. Keeps the top matches above the configured threshold and emails you a shortlist in Gmail with approve/decline buttons. If you approve, uses OpenAI to draft a job-specific resume and cover letter from only the provided profile text and generates HTML interview prep questions. Converts the resume and cover letter HTML into PDFs via DocRaptor, emails the tailored application package to you in Gmail, and appends the match details to a Google Sheets tracker. Setup Add credentials for OpenAI, Gmail OAuth2, Google Sheets
Answer Slack knowledge base questions with Notion, Pinecone, and OpenAI
Quick overview This workflow syncs an internal Notion knowledge base to Pinecone on a daily schedule, then runs a Slack bot that answers questions in a specific channel using Pinecone retrieval and an OpenAI chat model, replying in a thread with citations back to the source Notion pages. How it works Runs on a daily schedule to sync your Notion knowledge base into a Pinecone vector index. Fetches all pages from a specified Notion database and then pulls each page’s full block content (including nested blocks). Combines each page’s blocks into a single document and attaches metadata such as the Notion title, URL, and last edited time. Splits each document into overlapping text chunks, generates OpenAI embeddings, and inserts them into Pinecone while clearing and rebuilding the target namespace. Triggers when a new message is posted in the configured Slack channel and ignores bot/system messages to prevent reply loops. Uses an OpenAI-powered agent that always queries Pinecone for relevant chunks (including source metadata) and generates an answer in the user’s language. Posts the response back to Slack as a threaded reply, including cited Notion sources. Setup Create a Notion interna
WScrape and score Amazon products with Apify, OpenAI, and Google Sheets
Quick overview This workflow manually scrapes product results from an Amazon search URL via the Apify Amazon Crawler actor, uses OpenAI to generate a structured product analysis (category, key feature, verdict, value score), and appends the enriched results to a Google Sheets spreadsheet. How it works Runs when you manually click “Test workflow” in n8n. Sends the configured Amazon search URL and scraping limits to the apify Amazon Crawler actor and retrieves the dataset items. Filters out any scraper items that are missing a title or contain an error. Uses OpenAI to analyze each product’s title, brand, price, rating, and review count and returns a structured category, key feature, buyer verdict, and 1–10 value score. Combines the scraped fields and AI analysis into a single row format and adds a timestamp. Appends each enriched product as a new row in Google Sheets. Setup Create an apify API token and add it as an HTTP Header Auth credential used by the Apify request. Add an OpenAI API key as an OpenAI credential and choose the model to use in the configuration. Connect a Google Sheets OAuth2 account and select the target spreadsheet, sheet tab, and columns for appending rows. Upda
Find and verify business emails with ScraperCity, OpenAI, Google Sheets, and Gmail
Quick overview This workflow reads contacts from Google Sheets, finds and verifies their business emails via the ScraperCity Email Finder API, generates a short personalized icebreaker with OpenAI, appends the enriched leads to another Google Sheet, and emails a run summary via Gmail. How it works Starts manually to run an email enrichment job. Reads contacts (first name, last name, domain) from an input Google Sheets worksheet and aggregates them into a single payload. Submits the contacts to the ScraperCity Email Finder API, then waits and repeatedly checks the job status until it succeeds or fails/times out. When the job succeeds, downloads the result CSV from ScraperCity, parses it, normalizes key fields (name, domain, email, verification status, provider), and keeps only rows with an email. For each verified contact, prompts OpenAI to generate one short, company-referencing cold-email opening line in the configured language. Appends the enriched lead (including email, status, and icebreaker) to an output Google Sheets worksheet and sends a summary email via Gmail. Setup Create a ScraperCity account with Email Finder credits and add an HTTP Header Auth credential that sends you
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Find YouTube creator emails with Apify, OpenAI and Google Sheets
Quick overview This workflow searches YouTube via Apify for videos matching a keyword, deduplicates the resulting channels, scrapes each channel’s About description, uses OpenAI to extract contact email addresses, and appends channels with emails to a Google Sheets tab. How it works Starts when you manually execute the workflow. Sends a keyword-based search request to the Apify YouTube Scraper to retrieve recent YouTube results and their channel URLs. Deduplicates the results so each channel URL is processed only once. Scrapes each channel’s About/description data using an Apify YouTube Scraper request. Uses OpenAI to extract and de-obfuscate any email addresses found in the channel description. Keeps only channels where at least one email address was extracted. Appends the channel name, channel URL, extracted emails, search query, and the current date to Google Sheets. Setup Add an Apify API token using an HTTP Header Auth credential (Authorization: Bearer ) and connect it to both Apify HTTP Request steps. Add an OpenAI API key credential and choose the model name you want to use in the Configuration values. Connect your Google Sheets OAuth credential, then set the target spreadsh
Turn support emails into FAQ drafts with Gmail, OpenAI, Sheets and Docs
Quick overview This workflow monitors a Gmail inbox for new support-style emails, uses OpenAI to extract a reusable FAQ question and safe draft answer, logs results to Google Sheets, and then creates a Google Docs draft and/or Gmail review drafts for a human reviewer. How it works Polls Gmail every 5 minutes for unread emails matching the configured support-related search query. Cleans the email content by stripping quoted replies, signatures, and HTML to produce a concise plain-text body. Sends the cleaned email and product context to OpenAI to extract a structured FAQ candidate (question, draft answer, category, score, sensitivity flag, tags, and recommended action). Calculates a routing status based on the FAQ score threshold and sensitivity/recommended action, and prepares draft text for a Google Doc and reviewer email. Appends every processed email and extracted fields to a Google Sheets tab for tracking and reporting. If the candidate is strong, creates a Google Docs FAQ draft, inserts the draft content, and creates a Gmail draft notification to the reviewer with the document link. If the candidate needs manual handling, creates a Gmail draft to the reviewer with the review n
Handle WhatsApp sales inquiries with OpenAI, Pinecone, Google Calendar, and Slack
Quick overview This workflow handles inbound WhatsApp Business messages with an OpenAI-powered sales agent that uses Pinecone RAG for product answers and Google Calendar tools for scheduling, then either replies on WhatsApp or hands the conversation to Slack, with Slack-based error alerts. How it works Triggers on every inbound WhatsApp Business message and checks whether the payload contains a text body. Drops non-text messages (such as images or voice notes) and continues only with text conversations. Uses an OpenAI chat model with per-customer session memory to generate a concise sales reply and decide whether a human handoff is needed. Lets the agent query a Pinecone-backed product catalog via OpenAI embeddings to answer pricing, specs, and availability questions. Lets the agent check availability and book appointments in Google Calendar when the customer requests scheduling. Parses the agent’s HANDOFF flag and either posts the customer message plus draft reply to a Slack channel or sends the reply back to the customer on WhatsApp. Sends a Slack alert to an ops channel if any step in the workflow fails. Setup Connect WhatsApp Business Cloud credentials and set the WhatsApp Phon
WTurn LinkedIn post reactions into AI content ideas with OpenAI and Google Sheets
Quick overview This workflow runs daily to fetch your recent LinkedIn post reactions via a RapidAPI LinkedIn endpoint, uses OpenAI to turn each reacted post into a structured original content idea, and appends or updates the results in a Google Sheets idea vault without duplicates. How it works Runs every day at 08:00 using a schedule trigger. Loads configurable settings like your LinkedIn username, reaction type filter, recency window, max posts to analyze, OpenAI model, and output language. Calls the linkedin-api8 RapidAPI endpoint to retrieve posts you recently reacted to and splits the response into individual reaction items. Filters reactions to keep only the selected reaction type (or all when blank) and posts newer than the configured number of days. Limits the number of reactions sent for analysis to control cost. Sends each source post (author, reaction, text, and URL) to OpenAI to generate a structured content idea (category, angle, hook, takeaway, format, and hashtags). Saves each idea to Google Sheets using an upsert that matches on Post URL to avoid duplicate rows. Setup Create a RapidAPI subscription for linkedin-api8 and add an HTTP Header Auth credential that sends
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
Audit landing page CRO and log results with OpenAI and Data Tables
Quick overview This workflow collects a landing page URL, scrapes its HTML, and uses OpenAI to generate a structured conversion-rate-optimization (CRO) audit with scores and prioritized tips, then renders a styled report in the browser and logs each audit to an n8n Data Table. How it works Presents an n8n Form where the user submits a landing page URL. Fetches the landing page HTML via an HTTP request with retries, and routes to an error page if the URL can’t be retrieved. Sends the scraped HTML and URL to OpenAI to produce a CRO audit including an overall score, category scores, a written roast, and a ranked list of optimization tips. Uses a structured output parser with an OpenAI “fixer” model to validate and auto-correct the AI response into the required JSON schema. Builds a styled HTML report from the structured audit results. Logs the audit metadata (URL, score, verdict, summary, language, timestamp) to an n8n Data Table and displays the report back in the user’s browser. Setup Add an OpenAI API credential and select it for both the main OpenAI model and the output-fixer model. Create or select an n8n Data Table (for example, “CRO Audit Log”) and map the columns used for url,
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
Schedule weekly focus-time blocks with Google Calendar, OpenAI, and Slack
Quick overview This workflow runs every Sunday at 18:00 to scan your Google Calendar for next week, find free gaps of at least two hours within your working hours, auto-book them as “🧘 Focus Time” events, and then DM you a personalized deep-work plan in Slack using OpenAI. How it works Runs every Sunday at 18:00 on a schedule. Loads your working-hour preferences and fetches all events from your Google Calendar. Calculates weekday-only free gaps within your working hours and keeps only gaps that meet the minimum block length. If no qualifying gap exists, sends you a Slack DM warning that next week is too fragmented for a focus block. If gaps exist, limits the number of blocks for the week and creates “🧘 Focus Time (protected by n8n)” events in Google Calendar for each selected slot. Uses OpenAI to generate a short, personal Slack message that lists the protected blocks and suggests what kind of work fits each. Sends the generated deep-work plan to you as a Slack DM. Setup Add Google Calendar credentials, select the calendar to read from and the calendar to create “🧘 Focus Time” events in. Add Slack credentials and set your target Slack username in both the plan DM and warning mes
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