OpenAI workflow'ları
4.412 sonuç — 786 indirilebilir workflow dosyası, 3.626 kaynağa bağlı n8n referansı
Auto-label incoming Gmail emails using AI
On a new Gmail email, an OpenAI agent classifies it and applies the matching Gmail label via a switch.
[MW] AI Customer Support Assistant - Cloud Version
On a new Gmail email, an OpenAI agent pulls context from Google Sheets and Drive and sends an automated Gmail reply.
Instant RAG Builder
On a new Google Drive file, builds a Pinecone vector index and answers chat queries with an OpenAI agent.
Drive Knowledge Base RAG Agent
Indexes Google Drive documents into a Qdrant vector store and answers chat questions with an OpenAI agent.
Notion AI Chat Agent
On a chat message, an OpenAI agent with memory reads and updates Notion pages.
Recursive Hybrid RAG 1
On new Google Drive files, summarizes and embeds content with OpenAI into a Supabase vector store, then answers queries via an OpenAI/Gemini agent.
Chat with PDF /// Md /// Text Files Using Graphrag (No Vector Store Needed)
On a chat message, extracts text from Google Drive PDFs, Markdown, and text files, then answers questions via an OpenAI agent using HTTP tool calls.
Analyze skill gaps for target jobs with BrowserAct, LinkedIn and GPT-4o-mini
Quick Overview This workflow collects a student’s skills and target role via an n8n Form, scrapes top LinkedIn job postings with BrowserAct, and uses OpenAI GPT-4o-mini to generate a skill gap report with courses and a 90-day plan, saving results to Google Sheets and emailing them via Gmail. How it works Receives a student submission from an n8n Form with name, email, target role, current skills, experience level, location, and weekly learning hours. Validates the inputs, converts the skills list into an array, and builds a LinkedIn job search URL for the chosen role and location. Uses BrowserAct to open the LinkedIn job search in a real browser and extract text from up to 20 job postings. Cleans and normalizes the scraped job text and combines it with the student profile data. Sends the student profile and job-posting text to OpenAI GPT-4o-mini to extract in-demand skills, identify missing skills with priority, recommend three free courses, and generate a 13-week learning plan. Parses the model output into labeled sections, calculates matched and missing skill counts, and appends the full report as a new row in Google Sheets. Sends a formatted HTML email via Gmail to the student w
Draft and approve Gmail replies with OpenAI and CustomJS
Quick Overview This workflow pulls unread Gmail messages, generates draft replies with OpenAI, and publishes an approval dashboard via CustomJS. When you approve or edit a draft in the dashboard, it posts back to a webhook that sends the reply in Gmail and marks the original message as read. How it works Runs manually to fetch unread messages from Gmail. Filters out messages from common no-reply senders to avoid automated emails. Uses OpenAI (GPT-5) to generate a draft reply from the email subject, snippet, sender, and recipient. Compiles the original emails and AI drafts into a single HTML approval dashboard and publishes it as a CustomJS page. Receives an approval submission from the dashboard via an n8n webhook containing the edited reply text plus the Gmail message and thread IDs. Replies to the original Gmail message with the approved text and then marks the message as read. Setup Connect Gmail OAuth2 credentials for the Gmail nodes that read messages, reply, and mark messages as read. Add an OpenAI API credential and select the model you want to use for draft generation. Add your CustomJS credentials and confirm the target page name used to publish the dashboard. Set your n8n
Host an AI Gmail reply approval inbox with OpenAI and CustomJS
Quick overview Build super flexible and customizable Human-in-the-Loop (HITL) processes with n8n and CustomJS. Instead of letting AI reply autonomously, this workflow fetches data, drafts responses, and hosts interactive approval pages via CustomJS—ensuring full human quality control over your automations with optional custom domain hosting. How it works Trigger: Set to run manually (or scheduled on a cron job). Fetch Emails: Pulls unread messages from your Gmail inbox. Filter: Discards standard no-reply and notification addresses. AI Generation: OpenAI analyzes the email text and subject line to write a suggested reply. Build Dashboard: A Code node merges the dataset into a premium HTML template. Upsert Page: The CustomJS node hosts the generated HTML instantly. Setup Configure the Base URL: Open the Build Approval Page Code node, locate the configuration section (around line 22), and replace the placeholder with your actual n8n instance URL: Connect CustomJS: Add your CustomJS API token to your n8n to allow the workflow to automatically push and host the generated process pages. Activate Webhook: Ensure your n8n webhook node is set to "Production" so it can reliably receive the a
Reconcile Google Drive invoice PDFs with OpenAI, Sheets, Slack and Gmail
How it works Watches a Google Drive folder and triggers automatically when a new invoice PDF is uploaded Extracts raw text from the PDF and passes each invoice through an OpenAI powered agent that returns structured fields like vendor, amount, due date, and line items Fans the enriched data to three parallel outputs: a Google Sheets log, a Slack alert for overdue invoices, and a weekly summary email to Finance via Gmail Set up steps Connect Google Drive, Google Sheets, Gmail, Slack, and OpenAI credentials (~15 minutes total) Works best with text based PDFs; scanned invoices need OCR upstream of the extraction step Keep full setup details and prompt tuning tips in the sticky notes inside the workflow
WFetch live commodity quotes with Octagon, OpenAI (GPT-5.4 Mini) and Google Sheets
Quick overview Automatically fetches live commodity quotes (gold, silver, crude oil, natural gas, and more) using an Octagon AI Agent, then writes prices, changes, ranges, volume, and moving averages back to a Google Sheet. How it works Reads commodity symbols (GCUSD, SIUSD, CLUSD, NGUSD, etc.) from a Google Sheet. Fetches the live commodities-quote Skill from GitHub and builds an Octagon Agent prompt for each symbol. Calls the Octagon Agent for real-time quotes and parses the response. Writes the price, change, ranges, volume, and moving averages back to the sheet. Setup Set aside about 5 minutes to complete the configuration. Connect your Google Sheets, OpenAI, and Octagon credentials. Point the Sheets nodes at your commodities sheet, making sure it has a Symbol or Ticker column. Ensure date ranges are in the Sheet. Review the sticky notes inside the workflow for detailed configuration notes. Requirements Google Sheets account and credentials OpenAI credentials (GPT-5.4 Mini) Octagon Agent credentials A Google Sheet with a Symbol or Ticker column Customization Add or remove commodity symbols in the sheet to track different markets Adjust which data fields (price, change, ranges,
Analyze stocks via Telegram with GPT‑4, TwelveData, NewsAPI and chart images
AI-Powered Stock Analysis Agent is a Telegram-based AI workflow it transforms a simple stock name into a complete trading analysis report. Users send a stock/company name through Telegram, and the workflow automatically: Converts the company name into a stock symbol Fetches multi-timeframe market data Collects recent stock news Performs AI-powered sentiment analysis Generates a chart image Creates a professional BUY / SELL / HOLD report Sends the final analysis back to Telegram Node-by-Node Explanation 1. Telegram Stock Request Trigger What This Node Does This is the entry point of the workflow. It listens for incoming Telegram messages and starts the workflow automatically whenever a user sends a stock/company name. Example Apple Tesla Nvidia 2. Convert to Stock Symbol What This Node Does Uses OpenAI to convert a company name into a valid stock ticker symbol. Example | User Input | AI Output | |---|---| | Apple | AAPL | | Tesla | TSLA | | Microsoft | MSFT | Why This Node Matters Users do not need to know the exact stock ticker symbol. The AI intelligently maps company names into valid trading symbols. 3. Fetch 4H Market Data What This Node Does Fetches 4-hour interval market data
WTurn videos into Twitter threads, LinkedIn posts, and blogs with WayinVideo and GPT-4o-mini
Description Submit any video URL — podcast, webinar, interview, or YouTube video — along with the title, creator name, niche, target audience, and tone and the workflow transcribes the full recording automatically. WayinVideo's Transcription API returns a speaker-labeled, timestamped transcript which is sent to GPT-4o-mini in one call to produce all three content pieces simultaneously: a 10-tweet Twitter thread, a 200–300 word LinkedIn post, and a 600–800 word SEO blog post with HTML structure, meta description, and focus keyword. Word counts are tracked for all three pieces and everything is saved as one row in Google Sheets with Status set to Draft. Built for content marketers, solo creators, agencies, and social media managers who want to repurpose every video into three platform-specific pieces without writing anything manually. What This Workflow Does Transcribes the full video with speaker labels and timestamps** — WayinVideo's Transcription API returns every word spoken in the video with the speaker name and timestamp so GPT has full context to work from Generates all three content pieces in one GPT call** — The Twitter thread, LinkedIn post, and blog post are all produced t
WTurn webinars into a 5-day email course using WayinVideo, GPT-4o-mini, and Google Sheets
Description Submit any webinar recording URL using a simple form along with your course name, target audience, brand name, and preferred email tone and the workflow builds a complete 5-day drip email course automatically. WayinVideo AI Clipping extracts the top 5 most engaging teaching moments from the recording, ranked by engagement score so the best content becomes Day 1. GPT-4o-mini then writes a complete email lesson for each clip — with subject line, preview text, email body, key takeaway, CTA text, and a CTA URL placeholder — where Day 1 is welcoming, the final day wraps up, and middle days flow naturally between them. All 5 emails are saved to Google Sheets as a ready-to-use drip course with Status set to Draft. Built for course creators, coaches, educators, and marketing teams who want to turn any webinar into a ready-to-send email sequence without writing a single word manually. What This Workflow Does Extracts the top 5 teaching moments by engagement score** — WayinVideo AI Clipping ranks moments by engagement and the workflow sorts them highest first so your best content always becomes Day 1 Assigns each clip to a day number automatically** — Clips are sorted and labeled
WTurn TikTok videos into Facebook posts using WayinVideo and GPT-4o-mini
Description Paste any TikTok, YouTube, or short-form video URL into a simple form along with your brand name, target audience, and preferred tone and the workflow automatically transcribes the content and writes a ready-to-publish Facebook caption. GPT-4o-mini follows ten Facebook engagement rules to write a hook, short paragraphs, a call to action, and up to 8 hashtags — then posts the caption directly to your Facebook Page feed via the Graph API. Every post is logged to Google Sheets with the Post ID, Post URL, character count, and Posted status. Built for social media managers, content creators, and brands who produce short-form video and want Facebook posts published automatically without rewriting captions manually. What This Workflow Does Transcribes any video into plain text** — WayinVideo processes the video and returns a clean spoken text version that GPT uses as the source for caption writing Writes a Facebook caption following 10 engagement rules** — GPT-4o-mini produces a hook, short paragraphs, a tone-matched body, a CTA, optional video link, and up to 8 hashtags Optionally includes the video link in the post** — If you choose Yes at form submission, the video URL is a
WConvert podcasts to LinkedIn articles with WayinVideo and GPT-4o-mini
Description Submit your podcast or video URL using a simple form and the workflow automatically transcribes the full episode with speaker labels and timestamps. GPT-4o-mini then reads the transcript and writes a complete LinkedIn newsletter article — headline, 400–600 word body, five key takeaways, and hashtags — following seven LinkedIn readability rules. The finished draft is saved to Google Sheets with a Status of "Draft" so you can review and publish when ready. Built for podcast hosts, content marketers, and personal brand builders who want to turn every episode into a LinkedIn article without writing from scratch. What This Workflow Does Transcribes your podcast with speaker labels** — WayinVideo processes the full episode and returns each segment attributed to the correct speaker with timestamps Polls automatically until transcription is complete** — Waits 60 seconds then checks the status repeatedly every 30 seconds until the transcript is ready, with no manual monitoring needed Formats the transcript for AI analysis** — Structures every segment as speaker name with timestamp so GPT understands who said what and when Writes a complete LinkedIn article** — GPT-4o-mini produc
Classify LinkedIn posts as quality or slop with OpenAI and Qdrant
Purpose This workflow is the official backend for the StopSlopIn Chrome extension – it classifies LinkedIn posts as quality or slop using a strict LLM quality gate and learns from user votes over time via a Qdrant vector store. What this is for This runs the webhook that powers the StopSlopIn Chrome extension on the Chrome Web Store. The extension sends LinkedIn posts here for analysis and user votes here for training – everything stays on your own n8n instance. Setup Add your OpenAI credentials to the chat model and embeddings nodes Add your Qdrant credentials to both vector store nodes, pointing to a collection named stopslopin Activate the workflow, copy the webhook URL, and paste it into the StopSlopIn Chrome extension settings Follow the instructions on the yellow sticky notes for anything else How it works A single webhook exposes two actions, selected via a ?action= query parameter: analyze for classification, vote for training. A Switch node routes incoming requests based on the action parameter On analyze: each post is enriched with similar prior-rated posts pulled from Qdrant (RAG), batched together, and sent to the LLM with a strict quality-gate system prompt The LLM ret
Generate AI-powered pro vs con debates with GPT-4o and Google Sheets tracking
This workflow automatically processes incoming debate topic requests, generates structured, evidence-backed Pro vs Con debates with balanced arguments, rebuttals, and final verdicts using AI, delivers them via email, and logs everything in Google Sheets. Who’s it for • Students and debaters preparing arguments • Content creators and podcasters • Researchers and analysts needing balanced views • Decision-makers and AI enthusiasts exploring topics How it works / What it does Captures new debate requests (webhook or scheduled poll) Validates the topic and prepares context AI generates full structured debate (Pro/Con arguments with evidence, rebuttals, verdict) Formats professional markdown output Emails the complete debate to the requester Logs topic, verdict summary, and generation details in Google Sheets How to set up Import this workflow Set up credentials (Webhook, Google Sheets, OpenAI/Anthropic) Update default instructions and email sender Activate workflow Requirements • Webhook endpoint for topic submissions • Google Sheets • OpenAI / Anthropic / Grok API • Clear debate topic input How to customize the workflow • Modify AI prompt for depth, tone, or format in the AI node • Ad
Audit multi-page CRO with GPT-4o-mini, Google Sheets, and Gmail alerts
Description Submit up to 3 landing page URLs using a simple form and the workflow audits each one automatically. For every page, GPT-4o-mini scrapes the content, scores it across five dimensions, identifies the top conversion issue, and generates five specific page fixes. Every result is logged to Google Sheets and pages that score below your alert threshold trigger an automatic Gmail alert with the full breakdown. Built for marketing managers, agency owners, and growth teams who need structured, repeatable conversion audits without spending hours reviewing pages manually. What This Workflow Does Scrapes and cleans each page automatically** — Fetches the raw HTML for every URL submitted, strips all scripts and styles, and prepares clean text for AI analysis Scores pages across five CRO dimensions** — GPT-4o-mini rates each page on overall conversion potential, CTA strength, trust score, and message clarity on a 1–10 scale Generates a letter grade per page** — Assigns A+ through F based on the overall score so you can rank pages at a glance Produces five page-specific fixes** — Every fix references actual content from the page and is scoped to be doable within 1–2 days — no generic
Optimize blog and product pages for Google AI Overviews with GPT-4 and Sheets
This workflow automatically monitors blog posts or product pages for new/updated content, analyzes Google AI Overviews to identify optimization gaps, auto-generates optimized titles, summaries, and schema markup, and applies these improvements to enhance visibility in AI search results. Who's it for • SEO managers optimizing for AI-driven search results • Content teams publishing 5+ articles per week • E-commerce teams managing product page visibility • Digital marketers tracking AI Overview presence How it works / What it does Detects new or updated blog posts / product pages via webhook or schedule Fetches raw content and existing metadata Queries Google Search API to analyze AI Overview coverage gaps AI generates optimized title, meta summary, and JSON-LD schema markup Pushes improvements back to CMS or target endpoint Logs all changes and scores to Google Sheet tracker How to set up Import this workflow Set up credentials (Google Search API, OpenAI/Anthropic, CMS/HTTP, Google Sheets) Update your site URL and content preferences Activate workflow Requirements • Webhook endpoint or CMS trigger • Google Custom Search API key • OpenAI / Anthropic / Grok API • CMS REST API or target
SOrchestrate credit onboarding checks with GPT-4o, Airtable, Gmail and Slack
How It Works This workflow automates credit operations onboarding by running KYC verification, credit bureau checks, identity validation, and sanctions screening through a single AI-powered agent. Built for credit operations teams, compliance officers, and fintech platforms, it eliminates manual eligibility reviews that are slow and error-prone. Triggered via webhook, the Credit Operations Agent orchestrates all verification tools simultaneously, then routes customers by eligibility status, eligible, ineligible, pending documentation, or compliance escalation. Each path prepares structured data stored in Airtable, triggers appropriate follow-up actions (email, Slack alerts), and logs a full audit trail. A final formatted response is returned to the originating system, closing the loop end-to-end with no manual handoffs. Setup Steps Set webhook URL and connect Credit Operations webhook node to your intake system. Add OpenAI API key to the OpenAI Chat Model node. Configure KYC, Credit Bureau, Identity, and Sanctions tool credentials. Add Gmail OAuth2 and Slack bot token for notification nodes. Connect Airtable API key; set base/table IDs for eligible and ineligible customer stores. P
Monitor and optimize carbon emissions for ESG reporting with GPT-4o, Slack and Sheets
How It Works This workflow automates end-to-end carbon emissions monitoring, strategy optimisation, and ESG reporting using a multi-agent AI supervisor architecture in n8n. Designed for sustainability managers, ESG teams, and operations leads, it eliminates the manual effort of tracking emissions, evaluating reduction strategies, and producing compliance reports. Data enters via scheduled pulls and real-time webhooks, then merges into a unified feed processed by a Carbon Supervisor Agent. Sub-agents handle monitoring, optimisation, policy enforcement, and ESG reporting. Approved strategies are auto-executed or routed for human sign-off. Outputs are consolidated and pushed to Slack, Google Sheets, and email, keeping all stakeholders informed. The workflow closes the loop from raw sensor data to actionable ESG dashboards with minimal human intervention. Setup Steps Connect scheduled trigger and webhook nodes to your emissions data sources. Add credentials for Slack (bot token), Gmail (OAuth2), and Google Sheets (service account). Configure the Carbon Supervisor Agent with your preferred LLM (OpenAI or compatible). Set approval thresholds in the Check Approval Required node. Map Googl
Monitor and optimize carbon emissions for ESG with GPT‑4o, Slack and Google Sheets
How It Works This workflow automates end-to-end carbon emissions monitoring, strategy optimisation, and ESG reporting using a multi-agent AI supervisor architecture in n8n. Designed for sustainability managers, ESG teams, and operations leads, it eliminates the manual effort of tracking emissions, evaluating reduction strategies, and producing compliance reports. Data enters via scheduled pulls and real-time webhooks, then merges into a unified feed processed by a Carbon Supervisor Agent. Sub-agents handle monitoring, optimisation, policy enforcement, and ESG reporting. Approved strategies are auto-executed or routed for human sign-off. Outputs are consolidated and pushed to Slack, Google Sheets, and email, keeping all stakeholders informed. The workflow closes the loop from raw sensor data to actionable ESG dashboards with minimal human intervention. Setup Steps Connect scheduled trigger and webhook nodes to your emissions data sources. Add credentials for Slack (bot token), Gmail (OAuth2), and Google Sheets (service account). Configure the Carbon Supervisor Agent with your preferred LLM (OpenAI or compatible). Set approval thresholds in the Check Approval Required node. Map Googl