OpenAI workflows

by Milan Vasarhelyi - SmoothWork

AI Agent to Chat with Airtable

On a chat message, answers questions by querying Airtable through an OpenAI agent with conversation memory.

by Milan Vasarhelyi - SmoothWork

AI Company Research Agent (n8n+Airtable)

On a new Airtable record, researches the company with OpenAI and writes enriched details back to Airtable.

AI-driven legislative policy analysis and governance compliance orchestration

On webhook, extracts and analyzes legislative documents with an OpenAI agent, logs compliance findings to Google Sheets, and notifies Slack.

AI Ranking Checker

When triggered by another workflow, queries OpenAI, Anthropic, DeepSeek, and Perplexity to check brand rankings and stores the results.

by Incrementors

AI Content Moderation Router

On a webhook submission, moderates content with an OpenAI agent, then routes flagged items to Slack and email alerts.

AI-powered academic integrity monitoring and investigation system

On a schedule, runs an OpenAI agent to investigate academic integrity cases, logs verdicts to a data table, and emails findings.

Automated WooCommerce New Product Campaigns for Customers

On a new WooCommerce product, generates campaign copy with OpenAI and sends WhatsApp messages via Rapiwa to customers from Google Sheets.

Automate Shopify New Product Promotions via WhatsApp from Sheets

On a new Shopify product, reads contacts from Google Sheets, writes promos with OpenAI, and sends WhatsApp messages via Rapiwa.

Automated Bulk Promotion for Shopify New Products

On a new Shopify product, generates promo content with OpenAI, sends WhatsApp via Rapiwa and email via Gmail, and logs recipients in Google Sheets.

Automatically Share Shopify New Products Across All Social Media Platforms

On a new Shopify product, generates copy with OpenAI and posts across Discord, LinkedIn, Telegram, Facebook, Teams, WordPress, and Gmail.

Generate and Schedule Social Media Posts with OpenAI, Google Sheets, and Buffer

On a schedule, reads content from Google Sheets, generates posts with OpenAI, schedules them via HTTP, and notifies Slack.

by Mostafa

Telegram AI Chatbot with Human Takeover Using Trilox

On a Telegram message, an OpenAI agent replies using conversation memory and hands off to a human agent via Trilox when needed.

by Trilox

AI Powered Pedical Imaging Analysis & Diagnostic Reporting System

On a schedule, an OpenAI agent analyzes medical imaging data, logs diagnostic reports to Google Sheets, and books follow-ups via Google Calendar and Gmail.

AI-powered supply chain monitoring and disruption management system

On a schedule, fetches supply chain data and an OpenAI agent detects disruptions, routing alerts via Slack and email.

Create Google Tasks from Tactiq meeting transcripts using OpenAI and Telegram

Quick overview This workflow monitors a Google Drive folder for new Tactiq transcript files, uses OpenAI to extract explicit action items, creates matching Google Tasks, sends a Telegram notification, and logs each processed transcript in an n8n Data Table to prevent duplicate processing. How it works Triggers when a new file is created in a specified Google Drive folder (or on an optional 12-hour schedule). Loads previously processed transcript filenames from an n8n Data Table and lists files in the target Google Drive folder. Filters out files that have already been processed, then downloads each new transcript and converts it to plain text. Sends the transcript text to OpenAI to return strict JSON containing only explicit action items with an owner, optional due date, and an evidence quote. Creates a Google Task for each extracted action item, including source transcript details in the task notes, and sends a Telegram error message if task creation fails. Records the transcript as processed in the n8n Data Table (including zero-task transcripts) and sends a Telegram success message. Setup Add credentials for Google Drive, Google Tasks, OpenAI, and Telegram. Create or choose an n

by Sergio Sanchez G

ACW

Run a multi-agent research and publishing pipeline with GPT-4o, Tavily and Notion

Quick overview Three specialized AI agents: Researcher, Writer, and Reviewer, collaborate autonomously to research a topic, draft content, and quality-check it through a self-correcting review loop with a circuit breaker. Approved content is published directly to Notion with full audit metadata. How it works A form submission captures the research topic, content format (blog post, exec summary, or LinkedIn post), target audience, and maximum revision cycles allowed before the circuit breaker fires. The Researcher Agent uses GPT-4o and Tavily Search to gather authoritative sources, extract key facts and contradictions, and produce a validated research brief. Search depth and result count are automatically scaled to the requested format. The Writer Agent receives the research brief and produces a structured draft in the correct format. On revision cycles it also receives the Reviewer's specific rejection notes and must address them directly. A Circuit Breaker sits between the Writer and Reviewer. If the number of Reviewer rejections reaches the user-defined maximum, the draft is force-approved and the pipeline proceeds to publishing without another LLM call. The Reviewer Agent evalua

by Mychel Garzon

Route rental payment and receipt messages with Telegram and OpenAI GPT-4.1

Quick overview This demo workflow listens for Telegram rental messages, routes receipt-related commands, uses OpenAI to classify payments, costs, and booking summaries, then replies with parsed details and a sample receipt flow. How it works Triggers when a new Telegram message is received. Routes the message into one of four paths: full /receipt command, receipt request, receipt date reply, or general rental tracking. If a full /receipt command is provided, it parses client, property, stay dates, amount, and transaction details and replies in Telegram with the extracted fields. If the user sends a receipt request, it looks up the last saved payment for that Telegram chat and either prompts the user for stay dates or returns an error if no payment is stored. If the user replies with stay dates during a pending receipt flow, it combines those dates with the stored payment to build receipt details and replies with either a “ready to generate” summary or an error message. For all other messages, it sends the text to OpenAI to classify it as payment, cost, or booking summary, normalizes the JSON result, and replies in Telegram with the parsed output. When a payment is detected, it extr

by Alassane

BCW

Scrape Hacker News hiring threads with OpenAI GPT-4o-mini and Airtable

Quick overview This workflow manually runs a scraper that finds the latest Hacker News “Ask HN: Who is hiring?” thread via the Algolia HN Search API, pulls each job comment from the Hacker News Firebase API, uses OpenAI to structure postings into fields, and saves the results to Airtable. How it works Starts when you manually execute the workflow. Queries the Algolia Hacker News Search API for recent “Ask HN: Who is hiring?” stories and keeps only the relevant thread metadata. Filters the results to the most recent thread (created within the last 30 days) and fetches the full thread from the Hacker News Firebase API. Iterates through the thread’s comment IDs, fetching each individual job comment from the Hacker News Firebase API. Extracts and cleans the job text to remove HTML/entities and normalize links and whitespace. Sends the cleaned text to OpenAI (GPT-4o-mini) to extract a structured JSON record (company, title, location, type, salary, description, and URLs). Creates a new record in Airtable for each structured job posting. Setup Add an Airtable credential and set the target base and table in the Airtable create step. Add an OpenAI credential for the GPT-4o-mini chat model.

by Redowan Ahmed Farhan

Enrich company records with social media URLs using Supabase and GPT-4o

Quick overview This workflow pulls companies from Supabase, uses an OpenAI (GPT-4o) agent to crawl each company website and collect social media profile URLs via HTTP requests and HTML parsing, and then writes the enriched company record (name, website, and social links) back to Supabase. How it works Runs manually and loads all company records from a Supabase companies_input table. Keeps only each company’s name and website fields and sends the website to an OpenAI (GPT-4o) agent. The agent fetches page text (HTML converted to Markdown) and extracts links from pages (anchor hrefs), following additional URLs as needed to find social profiles. The agent returns a structured JSON object of social media platforms and their profile URLs. The workflow combines the extracted social links with the original company name and website. Inserts the enriched record into the Supabase companies_output table. Setup Add a Supabase credential and set the correct workspace/project so the workflow can read from companies_input and write to companies_output. Add an OpenAI API key in the OpenAI Chat Model node (configured for GPT-4o). Ensure your input table contains name and website fields (or update t

by Redowan Ahmed Farhan

Send portfolio risk reports from Google Sheets with OpenAI and Gmail

Quick overview This workflow collects a portfolio request via an n8n Form, loads holdings from Google Sheets, calculates portfolio risk and concentration metrics, generates an HTML risk narrative with OpenAI, then emails the full report via Gmail and appends an audit record back to Google Sheets. How it works Receives a portfolio analysis request from an n8n Form containing the investor details, base currency, and a Google Sheet ID. Reads all holdings from the provided Google Sheets document (Portfolio tab) and bundles the rows into a single portfolio dataset. Calculates market value, allocations, sector and asset-class breakdowns, P&L, concentration flags, and a 0–100 risk score. Sends the computed portfolio summary, breakdowns, risk flags, and holdings to OpenAI to generate a structured risk report in HTML. Builds a branded HTML email that includes the AI narrative plus sector and top-holdings tables and a concentration alert banner. Sends the HTML risk report to the investor via Gmail and appends a summary row to a Google Sheets “Analysis Log” audit sheet. Setup Create a Google Sheet with a tab named “Portfolio” and headers: ticker, company, sector, asset_class, quantity, avg_bu

by Incrementors

Qualify inbound leads with OpenAI, Slack, and Google Sheets

Quick overview This workflow receives inbound leads via a webhook, normalizes common form fields, and uses OpenAI to score and tier each lead as HOT, WARM, or NURTURE. It logs the result to Google Sheets, sends a tier-specific email auto-reply, and alerts a Slack channel for HOT leads. How it works Receives an inbound lead submission via a POST webhook. Normalizes incoming fields (name, email, company, website, message, budget, timeline, and source) into a consistent structure. Sends the normalized lead details to OpenAI to generate JSON scores (fit, budget, urgency, overall), a tier, reasoning, next action, and red flags. Merges the AI qualification results back into the lead record and routes the lead based on the tier. For HOT leads, posts an alert to Slack, appends the lead to the “Hot Leads” tab in Google Sheets, and sends a HOT auto-reply email. For WARM and NURTURE leads, appends the lead to the matching Google Sheets tab and sends the corresponding tier-specific auto-reply email. Returns a JSON response to the webhook caller confirming success and the assigned tier. Setup Add an OpenAI credential and customize the system prompt ICP/scoring rules in the OpenAI step. Add Goog

by Operstead

Turn Telegram into a French fitness coach with Claude, OpenAI and Google Sheets

Quick overview This workflow turns a Telegram chat into a French-speaking fitness and nutrition coach that can handle text or voice messages, use Anthropic for responses, log and read training/nutrition data in Google Sheets, and schedule workouts in Google Calendar. How it works Triggers when a new Telegram message is received. Detects whether the incoming message is a voice note and, if so, downloads it from Telegram and transcribes it with OpenAI. Normalizes the user message, chat ID, and current date fields for downstream processing. Uses an Anthropic chat model with short-term session memory to generate a coaching response and decide when to call tools. Reads from and writes to Google Sheets to fetch or update the user profile, log workouts and meals, retrieve daily nutrition totals, and create or update weekly training and nutrition plans. Optionally creates a workout event in Google Calendar when the user asks to schedule a session. Sends the generated response back to the user in Telegram. Setup Create and connect credentials for Telegram, Anthropic, OpenAI (for audio transcription), Google Sheets OAuth2, and Google Calendar OAuth2. Replace YOUR_SHEET_ID_HERE and select the

by mounir

ACW