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İndirebileceğin 3.557 hazır workflow dosyası, artı 10.661 kaynağa bağlı n8n referansı.
Evaluate counters and key-value storage with the KeyValue community node
Quick overview This workflow demonstrates the n8n KeyValue community node by using a counter to run one-time initialization logic per workflow, storing a per-day execution flag to allow the main logic only once per day, and showcasing basic directory, record, and counter operations. How it works Starts when you manually execute the workflow. Reads a KeyValue counter named after the current n8n workflow ID and runs a one-time “first execution” branch only when the counter does not yet exist. Sets the workflow-ID counter in KeyValue to mark that the one-time initialization logic has been executed. Reads a KeyValue record (keyed by workflow ID) from the businessprocess directory and compares its stored date with today’s date. If today’s date is already stored, it stops in a “logic already executed” branch; otherwise it runs the main logic branch. Writes today’s date back to KeyValue (businessprocess directory) to enforce “run once per day” behavior on subsequent executions. Setup Install the KeyValue community node (n8n-nodes-keyvalue) in n8n under Settings → Community nodes. Ensure your n8n instance has persistent filesystem storage for the KeyValue root directory (so counters and re
Create vertical AI videos from web articles with OpenAI, Seedance and Blotato
Quick overview This workflow accepts an article URL from Telegram, extracts the page text, uses OpenAI to generate a Seedance 2.0 video prompt plus platform-specific captions, creates a vertical video via the AtlasCloud Seedance API, then publishes it to TikTok, Instagram, and YouTube through Blotato and confirms back on Telegram. How it works Receives a message in Telegram containing a web article URL. Fetches the web page HTML, strips it to plain text, and truncates the extracted content for prompting. Uses OpenAI to turn the URL and extracted text into a Seedance 2.0 text-to-video prompt plus TikTok and Instagram captions and a YouTube title and description. Submits the generated prompt to the AtlasCloud Seedance 2.0 generateVideo API with the configured duration, resolution, and FPS. Polls the AtlasCloud prediction endpoint on a wait interval until the video status returns completed/succeeded. Publishes the resulting video URL to TikTok, Instagram, and YouTube via Blotato using the generated captions and YouTube metadata. Sends a Telegram confirmation message that includes the video title and the final video URL. Setup Create a Telegram bot with @BotFather, add Telegram credent
Triage telehealth appointments with GPT-4o-mini, Telegram, Google Calendar
Quick overview This workflow collects telehealth appointment details via an n8n Form, uses OpenAI (GPT-4o-mini) to score no-show risk, then sends Telegram reminders and confirmations and updates Google Calendar based on the patient’s response, with Slack alerts on workflow errors. How it works Receives a new appointment submission from an n8n Form with patient, appointment, and Telegram chat details. Sends the appointment data to OpenAI (GPT-4o-mini) to generate a 0–100 no-show risk score and explanation. Routes the flow based on the risk score, sending a single friendly Telegram reminder for low-risk patients. For high-risk patients, sends escalating Telegram reminders and a final message that waits for a confirmation or cancellation reply. If the patient cancels, creates a new “rescheduled” time slot in Google Calendar and sends the patient a Telegram reschedule acknowledgement. If the patient confirms, updates the existing Google Calendar event to note the confirmation and sends a Telegram confirmation message. If any step fails, posts an error notification to a Slack channel. Setup Add credentials for OpenAI (Chat), Telegram Bot, Google Calendar OAuth2, and Slack OAuth2 used fo
Triage chronic care vitals with Google Sheets, Gmail, Telegram and Slack
Quick overview This workflow runs daily to read chronic care vitals from Google Sheets, merge them into a per-patient record, score risk using AHA/ADA threshold rules, and notify clinicians via Telegram and Gmail when escalation is needed, while logging all results back to Google Sheets. How it works Runs every 24 hours on a schedule trigger. Reads blood pressure, glucose, activity/sleep, and patient master data from Google Sheets. Merges the sheets into a single structured record per patient for the current day. Calculates a risk score and risk level (LOW–CRITICAL) by evaluating vitals against AHA/ADA guideline thresholds and detecting anomalies. If escalation is required, generates a clinical intervention plan, sends a Telegram alert to the doctor, sends an HTML escalation email via Gmail, and appends/updates the escalated result in the Google Sheets DailyLog. If escalation is not required, writes the routine result to the Google Sheets DailyLog and sends a routine status email via Gmail. If any workflow error occurs, posts an error alert to a designated Slack channel. Setup Add Google Sheets OAuth2 credentials and update each Google Sheets node with your spreadsheet document ID
Score mortgage loan risk from Google Drive PDFs with OpenAI and Gmail
Quick overview This workflow monitors a Google Drive folder for new loan application PDFs, extracts text, and uses OpenAI (GPT-4o-mini) to structure applicant data, score risk, generate a lending summary, and produce an underwriting recommendation, then emails the final report via Gmail and posts Slack alerts on failures. How it works Triggers when a new PDF is created in a specified Google Drive folder. Downloads the PDF from Google Drive and extracts its text content. Uses OpenAI (GPT-4o-mini) to extract key applicant and loan fields into a validated JSON structure. Uses OpenAI (GPT-4o-mini) to calculate a risk score, risk level, approval confidence, and key findings in JSON. Uses OpenAI (GPT-4o-mini) to write a plain-text lending summary and then generate a final underwriting decision (approve/conditional approval/further review/decline) with reasoning and conditions. Assembles a single report from the extracted data, risk analysis, summary, and decision, and sends it to the loan officer via Gmail. If extraction or risk scoring fails, sends a Slack alert and retries by re-downloading the application PDF. Setup Connect Google Drive OAuth2 credentials and replace YOUR_GOOGLE_DRIVE
Recover overdue invoices with GPT-4o-mini, Gmail, Google Sheets and Slack
Quick overview This workflow runs every 24 hours to read overdue invoices from Google Sheets, uses OpenAI (GPT-4o-mini) to draft personalized recovery emails and determine escalation, sends emails via Gmail, logs outcomes back to Google Sheets, and posts status and error alerts to Slack. How it works Runs every 24 hours on a schedule trigger. Reads invoice rows from a Google Sheets “invoices” tab and checks whether there are any valid invoice entries to process. If no invoices are found, posts a “no overdue invoices” message to a Slack channel. For each invoice found, uses OpenAI (GPT-4o-mini) to assign an escalation level, draft a personalized HTML email (including payment plans when applicable), and recommend an escalation action. Parses the AI output into structured fields and sends the recovery email to the client via Gmail. If the AI recommends escalation, sends an internal escalation alert email to the legal team via Gmail. Updates the invoice row in Google Sheets with the new escalation level and AI summary, then appends a full audit log row to a “Recovery sheet” tab. If AI processing fails, posts an error alert to Slack and continues with the next invoice. Setup Add Google
Log clinic chatbot inquiries from a website widget with OpenAI and Google Sheets
Quick overview This workflow receives website chatbot messages via a webhook, uses OpenAI to generate an AI receptionist reply with session-based context, extracts structured inquiry details, and appends or updates a single visitor row in Google Sheets before returning a clean JSON reply to the widget. How it works Receives a POST request from the website chat widget containing the visitor message, sessionId, and timestamp. Uses an OpenAI-powered receptionist agent with per-session memory to generate a contextual reply and a hidden JSON block of extracted inquiry details. Strips the hidden data block from the reply, parses the JSON into fields (name, contact, intent, appointment details, summary, status), and flags whether any meaningful data was captured. If collectible data exists, appends or updates a Google Sheets row matched on Session ID with the latest extracted details and a Last Updated timestamp. Returns the cleaned reply to the chat widget as a JSON response with CORS headers. Setup Add an OpenAI API credential for the OpenAI chat model used by the receptionist agent. Add a Google Sheets OAuth2 credential and set the target spreadsheet document ID and sheet/tab name used
Extract post-call glossary terms from transcripts with Anthropic Claude and Telegram
Quick overview This workflow accepts a meeting transcript via an n8n form or webhook, uses Anthropic Claude to extract technical terms and acronyms into a JSON glossary, and then sends either the formatted glossary or a “nothing to add” confirmation to Telegram. How it works Receives a transcript either from an n8n form submission or from an HTTP POST webhook. Normalizes the incoming payload into consistent transcript and sessionId fields. Sends the full transcript to an Anthropic Claude chat model to extract distinct technical terms and short definitions as a strict JSON block. Parses the model’s JSON response into structured fields and checks whether any terms were found. Formats a numbered glossary message when terms exist and sends it to a Telegram chat. Sends a short “Nothing to add” message to Telegram when no relevant terms are found. Setup Add an Anthropic API credential and select the model in the Anthropic Claude chat model node. Create a Telegram bot, add Telegram credentials in n8n, and replace `` with your target Telegram chat ID in both Telegram send steps. If using the webhook trigger, copy the webhook URL and configure your transcription tool to POST JSON like { "tr
Run LDXhub document jobs from one form with StructFlow, RefineLoop, RenderOCR, CastDoc, and ExtractDoc
Quick overview This workflow provides a single n8n form that routes to six LDXhub services (StructFlow, AnalyzeDoc, RefineLoop, RenderOCR, CastDoc, and ExtractDoc) to run one-off document processing jobs and return the generated output file directly to the user. How it works Receives a submission from an n8n Form that collects an LDXhub API key, API host, and the target service. Routes the request to the selected service and fetches available models or engines from the LDXhub gateway using an HTTP request. Collects the remaining service-specific inputs via follow-up forms (for example model/engine selection, prompts/options, file upload, output format, and OCR language where applicable). Filters the available output formats based on the uploaded file’s extension for the conversion-style services. Submits the job to LDXhub (StructFlow, AnalyzeDoc, RefineLoop, RenderOCR, CastDoc, or ExtractDoc) and polls until the result is ready. Returns the processed file as a direct download in the form completion step, or shows an error page if the job fails. Setup Create an LDXhub API key in the LDXhub portal and add an LDXhub API credential in n8n for the LDXhub node. Confirm the LDXhub gateway
Evaluate vendor proposal PDFs with OpenAI, Gmail, and Google Sheets
Quick overview This workflow collects vendor proposal PDFs via an n8n Form, extracts text from the PDF, uses an OpenAI ChatGPT model to summarize and flag risks, logs the evaluation to Google Sheets, and sends an approval or review-needed notification through Gmail. How it works Receives a submission from an n8n Form with the submitter’s details, optional notes, and a vendor proposal PDF upload. Extracts text from the uploaded PDF and cleans/limits it to a safe length for AI evaluation. Sends the cleaned proposal text and submitter notes to an OpenAI ChatGPT model to return structured JSON with vendor details, summary, key points, and risks. Parses the AI response, formats key points and risks for readability, and flags the submission as “REVIEW NEEDED” when any risks are present. Appends the evaluation results to an “Evaluations” tab in Google Sheets with the decision, summary, and risk metadata. Sends a Gmail alert to the review team when risks are found, otherwise emails an auto-approval notification to the approver. Setup Add an OpenAI API credential and select the model for the OpenAI Chat Model used by the evaluator. Connect Google Sheets OAuth2 and replace YOUR_PROPOSAL_LOG_
Run a multi-tool Telegram AI assistant with Groq Llama 3.3
Quick overview This workflow turns a Telegram bot into a personal assistant J.A.R.V.I.S - powered by Groq (Llama 3.3 70B) and a LangChain agent with chat memory, using tools for web search, weather, news, Wikipedia lookups, calculations, date/time, jokes, and URL reading. How it works Triggers when a new Telegram message is received by your bot. Sends the message text to a LangChain agent running on Groq’s chat model, using the Telegram chat ID to keep a rolling memory of the conversation. When needed, the agent calls external tools such as Tavily (web search), OpenWeatherMap (weather), NewsAPI (news), Wikipedia, JokeAPI, and a URL fetcher to gather or summarize information. For math and date/time questions, the agent runs built-in code tools to compute results or return the current date and time. Returns the agent’s final response to the same Telegram chat. Setup Create a Telegram bot with @BotFather, add a Telegram API credential in n8n, and select it in both the Telegram Trigger and Telegram send-message step. Add a Groq credential in n8n and ensure the Groq chat model is selected in the workflow. Replace placeholders with your API keys: YOUR_TAVILY_API_KEY (Tavily), YOUR_OPENWE
Categorize emails and draft Gmail replies with Groq and Google Sheets
Quick overview This workflow monitors Gmail for new emails, uses Groq (via the LangChain Agent node) to categorize and summarize each message and draft a reply, sends an alert email for high-priority items, and logs the analysis and draft details to Google Sheets. How it works Checks Gmail every minute for new incoming emails. Skips processing if the email has no body content or snippet. Extracts the sender, subject, received date, message ID, and a truncated body (up to 3000 characters) for analysis. Sends the email content to Groq to return a JSON analysis with category, priority, summary, key asks, action items, suggested labels, and a draft reply. Parses and validates the AI JSON output, stopping if it cannot be parsed. Sends a Gmail alert to your chosen address when the email is marked HIGH priority, then continues. Appends the parsed analysis fields to a Google Sheets “Email Log” sheet and creates a Gmail draft reply only when the analysis indicates a response is required. Setup Connect a Gmail OAuth2 credential with permission to read emails and create drafts, and select it in the Gmail Trigger, Alert email, and Create Draft nodes. Add a Groq API credential and select it in
Repurpose content into 5-platform posts with Groq Llama 3.3 and Upload-Post
Quick overview This workflow receives a webhook with either a URL or raw text, uses Groq (Llama 3.3 70B) to analyze and repurpose the content into Instagram, X, LinkedIn, email, and video formats, optionally logs results to Google Sheets, and posts the LinkedIn text to multiple platforms via Upload-Post.com. How it works Receives a POST webhook request containing a single content value that is either a URL or plain text. If the input starts with http, it fetches the page content over HTTP and packages it as cleaned source text; otherwise it uses the provided text as-is. Sends the prepared content to Groq (Llama 3.3 70B) to generate a structured analysis of the core message, key points, audience, tone, and hook angles. Uses Groq again to generate platform-specific outputs (Instagram caption/hashtags, X thread, LinkedIn post, email newsletter, and a short video script) as JSON. Parses the AI JSON, validates character limits for Instagram, LinkedIn, and X, and returns an error response if the output cannot be parsed. On success, appends the generated content and validation warnings to Google Sheets, posts the LinkedIn text to selected social platforms via the Upload-Post.com API, and
Send a daily Microsoft 365 update digest with OpenAI GPT-4o-mini via email
Quick overview This workflow runs daily at 07:00 to pull the latest Microsoft 365, Security & Compliance, and Teams blog RSS posts, uses OpenAI (gpt-4o-mini) to triage and format a prioritized HTML digest, and sends the results to your team via SMTP email. How it works Runs every day at 07:00 on a schedule. Fetches RSS XML from three Microsoft Tech Community feeds (Microsoft 365 Blog, Security & Compliance, and Teams/Microsoft Teams Blog) in parallel. Parses the RSS items, keeps only posts from the last 24 hours, and deduplicates updates by title across all feeds. If no new items are found, sends a “no new updates” email via SMTP. If new items are found, aggregates them into a single formatted list for analysis. Sends the aggregated updates to the OpenAI Chat Completions API (gpt-4o-mini) to assign priority/category/action-required and generate an inline-CSS HTML email body. Emails the generated HTML digest to the configured recipients via SMTP. Setup Create an OpenAI API key and add an HTTP Header Auth credential that sets Authorization: Bearer for the OpenAI request. Add an SMTP credential for the email-sending nodes. Update the fromEmail and toEmail fields in both email actions
Send SAP Business One order and invoice alerts via WhatsApp Cloud API
Quick overview This workflow polls SAP Business One every 15 minutes for newly updated Sales Orders and AR Invoices and sends a formatted alert for each document via the WhatsApp Cloud API, using an n8n Data Table timestamp to prevent duplicate notifications between runs. How it works Runs every 15 minutes on a schedule. Reads the last-checked timestamp from an n8n Data Table and falls back to 15 minutes ago if no value exists. Logs in to the SAP Business One Service Layer and queries the Orders and Invoices OData endpoints for documents updated after the last-checked date. Normalizes the returned records, labels each one as a Sales Order or AR Invoice, and combines them into a single stream. For each new document found, formats a WhatsApp text message with key fields like document number, date, customer, total, currency, and comments. Sends the message through the WhatsApp Cloud API (Meta Graph) and then logs out of SAP Business One. Upserts the current timestamp back into the Data Table so the next run only alerts on newer documents. Setup Provide your SAP Business One Service Layer URL and credentials (CompanyDB, UserName, Password) in the SAP login request and ensure the Orders
Post daily motivational quote images to Telegram with Gemini and HTML to Image
Quick overview This workflow runs daily on a schedule, uses Google Gemini to generate a short motivational quote and author, renders it into an image via htmlcsstoimg.com, and posts the resulting photo to a Telegram channel. How it works Runs once per day at the configured hour using a schedule trigger. Sends a prompt to Google Gemini to generate an original motivational quote and an author name in a strict two-line format. Extracts the quote and author from the Gemini response and falls back to default values if parsing fails. Calls the htmlcsstoimg.com API to render the quote and author into a styled 1080×1080 image using an HTML/CSS template. Sends the generated image URL to Telegram and posts it as a photo to the configured channel. Setup Add Google Gemini (PaLM) API credentials in n8n for the quote generation step. Create a Telegram bot with @BotFather, add it as an admin to your target channel, and connect the bot token as a Telegram credential in n8n. Sign up for an htmlcsstoimg.com API key and set it in the HTTP request header as CLIENT-API-KEY. Replace @your_channel_username with your Telegram channel username and adjust the schedule time and quote prompt as needed.
Publish science newsletter posts from YouTube using Ghost and Google Sheets
Quick overview This workflow turns science keywords from Google Sheets into researched Ghost newsletter posts by discovering and screening YouTube videos with Apify, validating claims using Brave Search, storing sources in Qdrant with Cohere embeddings, drafting content with LLMs, and publishing via a custom Ghost HTTP endpoint. How it works Runs either manually to qualify “FAIR GAME” keywords from Google Sheets or on a schedule to start the automated publishing pipeline. Uses Brave Search with an LLM agent to research each keyword’s current context and writes a structured relevance, domain, and angle assessment back to the Keywords sheet. On schedule, randomly selects an eligible keyword, uses Apify’s YouTube Scraper to fetch recent videos with English transcripts, and appends normalized candidates to the Candidate Videos sheet. Scores each candidate’s virality from views, engagement, channel size, and publish age, marks rows as VIRAL or NOT VIRAL, and archives NOT VIRAL items to an Archive sheet. Reviews VIRAL candidates with an editorial LLM agent to select exactly one evidence-worthy video (or reject all), updates statuses and reasoning in Google Sheets, and archives rejected v
Monitor warehouse receiving performance with Google Sheets, Gemini, and Gmail
Quick overview This workflow runs hourly to analyze warehouse receiving logs from Google Sheets, calculates per-user performance and compliance metrics, enriches results with department data, uses Google Gemini to generate recommendations for flagged users, emails managers via Gmail when escalation is needed, and appends results to an analytics dashboard sheet. How it works Runs every hour on a schedule trigger. Reads receiving log rows from Google Sheets and normalizes key fields like duration, errors, and compliance. Aggregates the log data by user_id and computes performance status, severity score, and alert tier based on time, errors, and compliance rate. Looks up each user’s department and manager email in a Google Sheets “Departments” tab and attaches this context to the analysis. For users not rated “good,” sends the metrics to Google Gemini to generate structured root-cause and action-step recommendations. If the alert tier is not “none,” sends an info/warning or critical escalation email via Gmail (using manager_email when available). Appends the final per-user analysis (metrics, issues, recommendations, and whether an email was sent) to a Google Sheets “AnalyticsDashboard
Detect maverick spend and alert reviewers via Slack, Gmail, Sheets and Gemini
Quick Overview This workflow runs daily to compare procurement transactions in Google Sheets against an approved supplier list, flags unapproved (maverick) spend, uses Google Gemini to generate compliant alternatives, alerts reviewers via Slack and Gmail, logs violations back to Google Sheets, and escalates unresolved cases after two hours. How it works Runs every day at 11:00 AM on a schedule. Loads the approved supplier list and the latest transactions from Google Sheets and normalizes supplier names for consistent matching. Compares each transaction’s supplier against the approved list and flags transactions from unapproved suppliers as maverick spend. For approved suppliers, marks the transaction as processed in Google Sheets and ends. For maverick spend, sends the transaction details and the approved supplier list to Google Gemini to generate corrective recommendations and alternative suppliers. Formats the AI output with a timestamp, posts a Slack alert, and sends a detailed violation email through Gmail. Appends the violation details to a Google Sheets log, marks the transaction as processed, waits two hours, and then posts an escalation message to Slack. Setup Connect Googl
Monitor budget variance with Google Sheets, Gemini, Slack, and Gmail
Quick overview This workflow runs daily to compare department budgets and actual spend from Google Sheets, calculates variance, uses Google Gemini to generate root-cause insights, sends Slack alerts when variance breaches a threshold, logs results back to Google Sheets, and emails a daily report via Gmail. How it works Runs every day at 9:00 AM on a schedule. Reads budget and actual spend data from two Google Sheets tabs and matches records by Department. Calculates spend variance and variance percentage, then assigns a status label (Healthy/Warning/Critical) and run context like date and summary. Sends the variance details to Google Gemini to generate a JSON response with root cause, risk level, and recommendations. Checks whether the variance percentage is greater than 10% and sends a Slack alert with the AI insights when the threshold is exceeded. Appends the final analysis (including whether an alert was sent) to a Google Sheets log and sends the same report via Gmail. Setup Connect Google Sheets OAuth credentials and set the correct spreadsheet and sheet tabs for Budget Data, Actual spend, and the Final report log. Add a Google Gemini (PaLM) API credential for the Gemini model
Convert Telegram messages to to-do lists with Gemini and Notion
Quick overview This workflow turns incoming Telegram bot text messages into a numbered to-do list using Google Gemini, saves the result as a new page in a Notion database, and replies to the user in Telegram with the same extracted task list. How it works Triggers whenever your Telegram bot receives a new message. Checks whether the incoming message contains text and ignores non-text updates. Sends the message text to Google Gemini to extract a clean, numbered to-do list (or returns “No tasks found.”). Creates a new page in a Notion database and stores the extracted to-do list. Sends the extracted to-do list back to the user in the original Telegram chat. Setup Create a Telegram bot with @BotFather, add your Telegram credentials in n8n, and use the trigger’s webhook/connection to start receiving updates. Add a Google Gemini (PaLM) API credential for the AI extraction step. Add a Notion credential, select the target database, and ensure it has suitable properties to store the page title and extracted to-do content.
Repurpose YouTube Shorts from Telegram to Facebook, Instagram and TikTok with Apify and OpenAI
Quick overview This workflow listens for a YouTube Short link sent to a Telegram bot, downloads the video metadata and MP4 URL via Apify, generates a repost caption with OpenAI, uploads the video to Blotato, publishes it as a Facebook Reel, Instagram Reel, and TikTok post, then confirms back in Telegram. How it works Triggers when a message containing a YouTube Short URL is received by your Telegram bot. Sends the URL to an Apify YouTube downloader actor to retrieve the Short’s title and direct MP4 format URLs. Selects the best MP4 with audio up to the configured resolution and uploads it to Blotato to get a stable hosted media URL. Uses OpenAI (via the LangChain agent) to generate a short caption from the video title using your caption rules. Publishes the hosted video and generated caption to Facebook (as a Reel), Instagram (as a Reel), and TikTok via Blotato, continuing even if one platform publish fails. Sends a Telegram message confirming the publishes and includes the caption that was used. Setup Create a Telegram bot and add its token as an n8n Telegram credential, then start a chat with the bot so it can receive messages. Add an Apify API token as an n8n HTTP Header Auth cr
Enrich B2B leads with Tavily search, Groq Llama 3.3, and Google Sheets
Quick overview This workflow receives a company name via webhook, runs three Tavily web searches (company info, recent news, and key people), uses Groq (Llama 3.3 70B) to synthesize a structured lead profile, optionally appends the results to Google Sheets, and returns the enriched profile in the webhook response. How it works Receives a POST webhook request containing a company name and an optional domain. Queries the Tavily Search API for company overview details, then searches Tavily again for recent news and key executives/leadership. Sends the combined search results to a Groq LLM agent to generate a sales-ready lead enrichment profile as strict JSON (company details, products, signals, news, pain points, and outreach angles). Parses the AI output, extracts valid JSON if possible, and flattens key fields into a single row-friendly structure. If parsing succeeds, appends the enriched lead data to a Google Sheets spreadsheet and returns the full profile in the webhook response. If parsing fails, returns an HTTP 422 error response with the raw AI output for troubleshooting. Setup Create a Groq API key, add it as an n8n Groq credential, and select it in the Groq LLM node. Create a
Create Seedance 2.0 short videos from Telegram ideas with OpenAI and Blotato
Quick overview This workflow takes a video idea sent via Telegram, uses OpenAI to generate a Seedance 2.0-ready prompt plus platform-specific captions, creates the video through AtlasCloud’s Seedance API, then publishes it to TikTok, Instagram, and YouTube using Blotato and confirms back in Telegram. How it works Receives a video idea as a Telegram message. Uses OpenAI (via an agent) to generate a structured JSON payload containing a Seedance 2.0 text-to-video prompt plus TikTok and Instagram captions and a YouTube title and description. Submits the prompt to AtlasCloud’s Seedance 2.0 video generation API and requests a 5-second video. Polls AtlasCloud every 30 seconds until the video generation status returns completed/succeeded. Extracts the final video URL and pairs it with the generated captions and YouTube metadata. Publishes the video to TikTok, Instagram, and YouTube via Blotato, then sends a Telegram confirmation message. Setup Create a Telegram bot and add Telegram credentials, then ensure the trigger and confirmation nodes use the correct bot and chat settings. Add an OpenAI API credential and select a chat model (configured for gpt-4o-mini) for prompt and caption generat