OpenAI workflow'ları
4.412 sonuç — 786 indirilebilir workflow dosyası, 3.626 kaynağa bağlı n8n referansı
Monitor AI brand visibility and GEO gaps with OpenAI, Gmail and Slack
Quick Overview This workflow runs daily to test whether Fairy Frills appears in AI shopping recommendations by querying OpenAI with 10 brand-focused questions (with and without web search), extracting mention and competitor data, generating a GEO gap analysis, and emailing a consolidated HTML report via Gmail. How it works Runs every 24 hours on a schedule. Generates 10 predefined shopping queries for Fairy Frills and includes the brand URL and a competitor list with each query. Sends each query to OpenAI twice in parallel, once to gpt-4o-mini (no search) and once to gpt-4o-search-preview (web search enabled). Combines the two model responses per query and uses OpenAI to extract structured metrics such as whether Fairy Frills is mentioned, mention count and position, competitor mentions, sentiment, and a key snippet. Uses OpenAI again to perform a GEO (Generative Engine Optimization) gap analysis that explains why competitors ranked, why the target brand missed, and which content actions and exact phrases to add. Deduplicates and aggregates insights across all checks, builds an HTML summary, and sends the daily GEO report email via Gmail. Sends a Slack message when the workflow enc
Generate vendor negotiation strategies from pricing data with GPT-4 and SendGrid
Quick overview This workflow ingests vendor pricing via a webhook or a weekly schedule, analyzes variance against historical and market benchmarks, uses OpenAI to draft negotiation strategies for high-priority cases, then emails recommendations through SendGrid and appends the analysis to a Google Sheets tracker. How it works Receives vendor pricing data from a POST webhook endpoint or runs every Monday at 8:00 to process a scheduled input. Normalizes incoming fields (vendor, pricing, benchmarks, volume, currency, renewal date, and notes) into a consistent schema. Calculates price variance versus historical and market benchmarks, estimates potential savings, derives a confidence score, and flags whether the opportunity is high priority. Filters to only high-priority opportunities and waits briefly to help manage API rate limits. Uses OpenAI to generate a structured, under-300-word negotiation strategy including tactics, target and walk-away prices, projected savings range, and risk flags. Formats the AI output into a report, emails it via the SendGrid API, and appends the analyzed record to a Google Sheets tab for tracking. Setup Add an OpenAI API credential for the OpenAI Chat Mod
Generate rich character bibles for writers with GPT-4.1 and Google Sheets
Quick overview This workflow accepts character details via webhook or manual trigger, uses OpenAI to generate psychology, backstory, and emotional arc drafts in parallel, then synthesizes them into a structured “Character Bible” JSON response and optionally appends a log row to Google Sheets. How it works Receives a POST request on an n8n webhook (or runs manually) with character parameters like name, age, archetype, world setting, story role, traits, and constraints. Normalizes the incoming fields, validates the archetype, and derives genre tags from the world setting using Python logic. Sends the enriched character inputs to OpenAI three times in parallel to generate a psychology profile, a backstory, and an emotional arc document. Combines the three AI documents into a single context object and passes it to OpenAI again to synthesize a unified Character Bible with defined sections. Parses the Character Bible into structured JSON fields (identity snapshot, personality core, backstory highlights, emotional arc, voice, and story hooks) and adds metadata like request ID and timestamp. Returns the completed character profile as a JSON webhook response and optionally appends a summary
Manage KlickTipp contact tags with GPT-5-mini via chat input
Quick overview This workflow uses an n8n chat trigger, OpenAI (gpt-5-mini), and KlickTipp community nodes to interpret chat instructions and create, apply, or remove tags for an existing KlickTipp contact, returning a structured JSON result. How it works Receives a chat message containing a contact email address and explicit tag add/remove instructions. Uses OpenAI (gpt-5-mini) to extract the email plus the requested tags to apply and/or remove, enforcing strict rules to avoid inventing tags. Looks up the contact in KlickTipp by email and reads the contact’s currently assigned tag IDs. Retrieves the full tag list from KlickTipp and creates any missing tags that were explicitly requested for applying. Applies the resolved tag IDs to the contact in KlickTipp when an explicit apply action is present and the contact does not already have them. Removes specific tag IDs (or all currently assigned tag IDs when requested) from the contact in KlickTipp when an explicit remove action is present. Returns a structured JSON response summarizing what was requested, which tags were created, and which tag IDs were applied or removed. Setup Add KlickTipp credentials for the community KlickTipp node
Enrich KlickTipp contact fields using OpenAI GPT-5.5 and context
Quick Overview This workflow receives an email and a context block, uses OpenAI to extract and validate enrichment details against the existing KlickTipp subscriber record, and then updates approved mapped data fields in KlickTipp. How it works Receives an incoming request from another workflow containing a contact email address and a free-text context block. Fetches the existing subscriber record from KlickTipp using the provided email. Uses OpenAI to extract enrichment attributes from the context, compare them to the current KlickTipp values, and decide final values using a confidence threshold for overwriting non-empty fields. Updates the KlickTipp subscriber with the final approved values for the mapped fields (for example name, company, address, phone numbers, website, birthday, and social profile URLs). Setup Add KlickTipp credentials and ensure the target subscriber fields (including any custom fields for LinkedIn, Instagram, Facebook, and job title) exist in your KlickTipp account. Add an OpenAI API key credential and select the model you want to use in the OpenAI chat model configuration. Ensure the incoming payload sent to this workflow includes at least email and context
Generate personalized email salutations for KlickTipp contacts with OpenAI
Quick Overview This workflow triggers when a contact is tagged in KlickTipp, uses OpenAI to generate an HTML-ready email salutation with a quality score, and updates the KlickTipp subscriber record with the salutation only when it meets a defined confidence threshold. How it works Triggers when a contact is tagged in KlickTipp and receives the contact’s profile fields (name, email, company, and address data). Sends the contact details to OpenAI to generate a JSON response containing an HTML-ready salutation plus language, style, and a salutation quality score. Parses and validates the OpenAI response against a structured JSON schema. Checks whether the generated salutation quality score is greater than 80. Updates the contact in KlickTipp by writing the generated salutation into a configured custom field when the score passes the threshold. Setup Add KlickTipp credentials and ensure the KlickTipp trigger for “contact tagged” is enabled for your account. Add an OpenAI API key for the chat model used to generate the salutation. In KlickTipp, create/identify the tag that should trigger this automation and configure it to call the n8n webhook URL from the trigger. Create a KlickTipp cu
Send prioritized forex risk alerts from ForexLive RSS with OpenAI and Slack
Quick Overview This workflow polls the ForexLive RSS feed every five minutes, filters for forex-relevant headlines, uses OpenAI to generate structured risk analysis, deduplicates items in an n8n Data Table, and sends high-priority alerts to a Slack channel. How it works Polls the ForexLive RSS feed on a */5 * * * * schedule and ingests newly published items. Normalizes each RSS item into consistent fields (title, description, link, and date) and checks the text for predefined forex and macroeconomic keywords. For relevant items, sends the title and description to OpenAI (GPT-4.1-mini) to return a strict JSON risk assessment including summary, impacted currency pairs, risk level, confidence score, and recommended action. Parses the OpenAI JSON response, merges it back with the original news data, and computes a final risk score, priority level, and a normalized deduplication key. Checks an n8n Data Table for the dedupe key and only continues when the item has not been seen before. Stores the processed item in the n8n Data Table and posts a formatted Slack message when the computed priority is HIGH. Setup Add OpenAI credentials and ensure the OpenAI node is set to a model you have ac
BAnswer HR policy and benefits questions with BambooHR, OpenAI and Supabase
Quick Overview This workflow ingests company policy PDFs from BambooHR into a Supabase vector database and provides an employee chat interface that answers policy and benefits questions using OpenAI, with an additional employee/department lookup powered by BambooHR employee data. How it works Starts a manual run to fetch files from BambooHR and keep only PDFs in the “Company Files” category. Downloads each selected PDF, splits it into chunks, generates OpenAI embeddings, and inserts the content into a Supabase vector table for retrieval. Exposes a chat trigger where employees submit questions to an HR assistant. Uses OpenAI with conversation memory and retrieves relevant policy content from the Supabase vector store to ground responses. When a question requires a contact person, looks up employee details in BambooHR by exact name or finds the most senior person in a requested department using an OpenAI-assisted department extraction and ranking step. Returns the final answer to the chat, including policy-based guidance and any retrieved employee contact details. Setup Add BambooHR credentials and ensure your policies/benefits PDFs are available in the BambooHR file category named “
Score and advance job applicants with Airtable, Google Workspace and GPT-4o
Quick Overview This workflow collects job applications via an n8n form, stores CVs in Google Drive, logs applicants in Airtable, and uses OpenAI to score CV-to-role fit. Shortlisted candidates receive an AI-generated questionnaire, a personalized Gmail outreach, an auto-booked Google Calendar phone screen, and saved screening questions. How it works Receives a job application through an n8n form submission, including applicant details and a PDF CV upload. Uploads the CV to Google Drive, builds a normalized applicant record (name, email, phone, experience, CV link), and creates an applicant entry in Airtable. Downloads the stored CV from Google Drive, extracts text from the PDF, and uses an OpenAI-powered agent to score the CV against the job description pulled from Airtable. Updates the applicant’s Airtable record as either “Interviewing” (score ≥ 0.7) or “No hire” (score < 0.7), including the numeric score and short reasoning. For shortlisted candidates, generates five interview questions with OpenAI, presents them in a follow-up n8n form, and saves the candidate’s responses back to Airtable. Uses OpenAI plus Airtable job/candidate context to draft a personalized outreach email, s
WAnswer HR and IT policy questions on Telegram with OpenAI and Postgres PGVector
Quick overview This workflow builds a searchable HR policy knowledge base from a PDF and runs a Telegram helpdesk bot that answers employee questions from that content, handling both text messages and voice notes via OpenAI transcription and retrieval from a Postgres PGVector vector store. How it works Manually runs once to download an HR policy PDF over HTTP and extract its text. Splits the extracted policy text into chunks, generates OpenAI embeddings, and inserts the vectors into a Postgres PGVector store. Triggers on new Telegram messages sent to your bot. Routes incoming Telegram updates by type, sending text directly to the assistant, transcribing voice messages with OpenAI, or replying that other formats are unsupported. Uses an OpenAI chat model with Postgres-backed chat memory and a PGVector retrieval tool to answer questions grounded in the stored policy content. Sends the final answer back to the user in Telegram. Setup Add an OpenAI API key for embeddings, chat completions, and audio transcription. Set up a Postgres database with the PGVector extension enabled and add the Postgres credentials for both the vector store and chat memory. Create a Telegram bot with BotFathe
Create social posts from RSS feeds with OpenAI, Unsplash, and Buffer
Quick overview This workflow polls an RSS feed for new articles, uses OpenAI to generate platform-specific copy for X, LinkedIn, and Instagram, pulls a related random image from the Unsplash API, and creates queued posts in Buffer for each social channel. How it works Runs every hour and reads the latest items from the configured RSS feed. Sends each article title and snippet to OpenAI to generate three ready-to-post messages for X, LinkedIn, and Instagram. Requests a random related image from the Unsplash API using the article title as the search query. Creates an image post in Buffer for X using the generated Twitter text and the Unsplash image URL. Creates an image post in Buffer for LinkedIn using the generated LinkedIn text and the Unsplash image URL. Creates an image post in Buffer for Instagram using the generated Instagram caption and the Unsplash image URL. Setup Add an OpenAI API credential in n8n (or replace the included OpenAI credential) for the OpenAI node. Create a Buffer account, connect your X/Twitter, LinkedIn, and Instagram profiles, and add your Buffer API credential in n8n. Create an Unsplash developer app and replace the client_id value in the HTTP Request URL
AI Freshdesk Ticket Responder
On a schedule, drafts a reply with OpenAI, emails it, and creates a Freshdesk ticket.
Gmail Telegram AI Agent
On a new Gmail email, processes it through LangChain, sends a Telegram message, and replies with OpenAI.
Calendar Slack RAG Assistant
On a new Google Calendar event, posts to Slack, retrieves context from a vector database, and answers with OpenAI.
AI Calendar Event Summaries
On a Google Calendar event, generates an AI summary of the event with OpenAI.
AI Email Summaries to Slack
On a new Gmail email, generates an AI summary with OpenAI and posts it to Slack.
AI Calendar Updates to Moodle
On a Google Calendar event, generates content with OpenAI, notifies Slack, and updates Moodle.
AI PDF Summaries to Telegram
On a new Gmail email, extracts PDF content, summarizes it with OpenAI, and sends it to Telegram.
AI Calendar Posts to X
On a Google Calendar event, generates a post with OpenAI, alerts Telegram, and publishes it to X.
AI Email to Telegram and Home Assistant
On a new Gmail email, generates a reply with OpenAI, messages Telegram, and triggers Home Assistant.
AI Calendar Tasks to Todoist
On a Google Calendar event, generates tasks with OpenAI and creates them in Todoist.
AI Email Alerts to Telegram and Slack
On a new Gmail email, generates a response with OpenAI and sends alerts to Telegram and Slack.
AI Calendar Knowledge Summaries
On a Google Calendar event, retrieves context from a vector database and generates an AI summary with OpenAI.
AI Email Replies to Slack
On a new Gmail email, generates a reply with OpenAI and posts it to Slack.