AI Automation
923 sonuç — tümü kaynağa bağlı n8n referansı
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
Search and score relevant jobs using Google Gemini, JSearch, and Notion
Automated Job Search & AI Relevance Evaluator Overview This n8n template automates the entire job hunting process by cross-referencing a candidate's PDF resume with live job listings from the JSearch API. It automatically filters for fresh, unapplied roles, uses Google Gemini AI to critically evaluate each job's relevance against the candidate's specific experience, and logs highly tailored matches directly into a Notion database for seamless tracking. 🚀 How it works Context & Extraction: The workflow fetches existing applications from your Notion database to prevent duplicate tracking, then reads and extracts plain text directly from a local PDF resume. Role Discovery: A Google Gemini node isolates the candidate's current job title to formulate a precise search query. This query is sent to the JSearch API (via RapidAPI) to pull live job listings. Smart Filtering: Natively filters out jobs posted more than 14 days ago and jobs that already exist in your Notion tracker, ensuring only fresh, unseen postings are processed. AI Evaluation: The core of the workflow! Google Gemini acts as an expert technical recruiter, comparing the candidate's resume against each job description. It gen
Automate employee onboarding with Groq, Gmail, Slack and Google Workspace
How it works New hire submits an onboarding form with their details Groq AI generates personalised welcome content, Slack messages, and IT access request Welcome email sent to the new hire via Gmail Automated emails sent to HR, the manager, and IT team Company Policy and Employee Handbook PDFs downloaded from Drive and attached Slack messages posted to #general and #hr-team channels Onboarding record appended to Google Sheets tracker Set up steps Estimated time: ~15 minutes Connect Groq API, Gmail, Slack, Google Drive, and Google Sheets credentials Upload your Policy and Handbook PDFs to Drive and link them in the Download nodes Select your Slack channels in the two Slack nodes Select your onboarding Google Sheet in the Append row node Activate the workflow and share the form link with new hires
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
SAnswer portfolio questions with live profile data, Groq and chat memory
Build a conversational AI chatbot for your personal portfolio that answers questions about your experience, skills, projects, and contact info — powered by Groq and live profile data fetched from a JSON endpoint. How it works A visitor sends a message via the public chat widget The workflow fetches your latest profile data from a hosted JSON URL Profile data + chat input are prepared and passed to the AI agent The Groq-powered agent answers questions using only your profile data Chat memory retains the last 10 messages for context-aware replies Setup Replace the profile JSON URL in Get Profile with your own hosted endpoint Connect your Groq API credential Update the system prompt in Chat Agent with your name Activate and embed the chat widget on your portfolio site Requirements Groq API key (free tier works) A publicly accessible JSON file containing your profile data
Route and triage support tickets with Claude Sonnet and your CRM
Overview This workflow automates customer support ticket processing using AI-powered analysis, classification, and intelligent routing. It processes incoming tickets from email or webhook, translates messages when needed, analyzes sentiment and urgency, and routes tickets to auto-reply or escalation flows. The system also updates CRM platforms and logs observability metrics for monitoring. This enables faster response times, improved customer experience, and scalable support operations. How It Works Input Sources Receives tickets via: IMAP Email Trigger Webhook endpoint Workflow Configuration Defines: CRM/Helpdesk API endpoint Escalation webhook URL Observability logging endpoint Data Cleaning & Normalization Extracts and cleans HTML content Normalizes ticket data: Ticket ID User email Message content Timestamp Source channel Language Detection & Translation Detects the original language Translates message into English if needed Returns confidence score AI Support Intelligence Classifies ticket into: Sentiment (positive/neutral/negative) Urgency (low → critical) Category (billing, bug, technical, etc.) Generates: Short summary Churn risk score (0–1) Recommended action path Decision
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
Auto-post GitHub code summaries to LinkedIn using Gemini AI
How it works Listens for a GitHub push event via Webhook Lists and fetches all files from the pushed repository Decodes base64 file content and merges it into a single text block AI Agent (Gemini 2.5 Flash) analyzes the code and generates a article A second AI Agent converts the article into a LinkedIn-ready post (max 2500 chars) Automatically publishes the post to your LinkedIn profile Set up steps Connect your GitHub account and configure the Webhook in your repo's settings Add your Google Gemini API key under credentials Connect your LinkedIn OAuth2 account Activate the workflow — posts will publish automatically on every push
Monitor news sentiment trends with GPT-4o-mini, MrScraper, Slack and Notion
Description This n8n template automatically monitors news sources daily, analyzes article sentiment using AI, and delivers structured intelligence reports to your team — all without any manual reading. It uses MrScraper to discover and extract articles, GPT-4o-mini to score sentiment and flag urgent issues, and delivers results to both Notion (for archiving) and Slack (for real-time alerts and daily digests). Whether you're tracking brand reputation, monitoring a competitor, or staying on top of industry trends, this workflow turns the open web into a fully automated radar system that runs every morning before your team starts their day. How It Works Phase 1 – Trigger & Config:** A Schedule Trigger fires daily at 8AM. The workflow reads your list of target news source URLs from a Google Sheet, then loops through each source one by one. Phase 2 – URL Discovery:** For each news source, the Map Agent crawls the page and extracts individual article URLs. URLs are filtered using include patterns to keep only actual article links, deduplicated, and capped at your configured maxArticles limit. Phase 3 – Article Extraction:** Each article URL is processed by the General Agent, which extrac
COptimize n8n workflow JSON using Azure OpenAI GPT-4o-mini
📊 Description Automate the optimization of your n8n workflows using AI-powered analysis and restructuring 🤖. This workflow receives any existing n8n JSON via webhook, analyzes it using Azure OpenAI, and returns a fully optimized, import-ready workflow file. It improves execution speed, reduces redundant nodes, enhances API efficiency, and ensures structural cleanliness — all while preserving the original logic. Perfect for automation builders who want cleaner, faster, and production-ready workflows instantly. 🚀 What This Template Does 📥 Receives an n8n workflow JSON via a secure POST webhook. 🔍 Extracts and validates the workflow body to ensure proper structure. 🤖 Sends the workflow to Azure OpenAI for performance and structural optimization. 🧹 Strips markdown, parses, and validates the AI-returned JSON. 📄 Converts the optimized workflow into a downloadable .json file. 📤 Returns the optimized workflow file directly to the caller. Key Benefits ✅ Automatically optimizes workflow performance and execution speed ✅ Reduces redundant nodes and unnecessary API calls ✅ Ensures clean, structured, import-ready n8n JSON ✅ Preserves original business logic and integrations ✅ Eliminate
Route event sales leads with Gmail, Google Gemini, Sheets and Salesforce
Email Sentiment Router for Event Sales Leads Who is this for? Event organizers, conference managers, and sales teams drowning in sponsor/exhibitor/partner emails who need zero-drop leads + real-time pipeline analytics. Key nodes: Gmail Trigger - Google Gemini (2x) - Data Table - Google Sheets - Send Email - Slack Category: Sales / AI / Event Management Level: Advanced Credits: Milo Bravo (BRaiA Labs) What problem is this workflow solving? Email overload kills event revenue: 200+ weekly sponsor/partner emails go unread No sentiment/intent analysis = missed hot leads Manual routing wastes 10+ hours/week Zero visibility into pipeline trends This workflow auto-classifies, routes, and analyzes every inbound lead. What this workflow does? Gmail Trigger monitors event inbox for new emails Gemini #1 scores sentiment (Positive/Neutral/Negative) Gemini #2 extracts topic, intent, urgency, org, budget signals Logs to email_analytics Data Table + Google Sheets Routes intelligently: Positive → Hot Lead email + Slack #hot-leads (2h SLA) Neutral → Nurture email + Slack #follow-ups (24-48h) Negative → Insights + Slack #insights Looker Studio dashboard auto-updates from Sheets Setup (5 minutes): Gma
Enrich Google Maps business leads using Apify, OpenAI, Jina AI, Telegram and Sheets
Automate your B2B lead generation by scraping Google Maps, generating AI business summaries, and extracting hidden contact emails from websites, all triggered via Telegram. Why Use This Workflow? Time Savings: Reduces lead research time from 4 hours of manual searching to 5 minutes of automated execution per 50 leads. Cost Reduction: Replaces expensive monthly lead database subscriptions with a pay-as-you-go model using Apify and OpenAI. Error Prevention: Uses AI to deduplicate results and ensure company summaries are professional and consistent for your CRM. Scalability: Allows you to trigger massive scraping tasks from your mobile phone via Telegram while the backend handles the heavy lifting. Ideal For Sales Development Reps (SDRs):** Rapidly building targeted lists of local businesses for cold outreach or door-knocking campaigns. Marketing Agencies:** Identifying new businesses in specific sectors (e.g., "Dentists in Paris") to offer SEO or advertising services. Real Estate Investors:** Finding specific commercial properties or business types in a geographic area to identify investment opportunities. How It Works Trigger: The workflow starts when you send a message to your Tele
Enrich and score Japanese B2B leads with gBizINFO, web scraping, and Gemini AI
Enrich and score Japanese company leads with government APIs, web scraping, and Gemini AI What this workflow does This workflow automates B2B lead research for Japanese companies. Submit a company name through a web form, and the workflow queries two free Japanese government APIs for corporate registry and business data, checks Google Maps for reputation, scrapes the company website for contact details and tech stack, and uses Gemini AI to score the lead and write a personalized outreach message in Japanese. Results are saved to Google Sheets, and high-scoring leads trigger a Slack alert. How it works Lead input form — A sales rep submits a company name along with industry, prefecture, priority, and notes National Tax Agency API — Retrieves the official corporate number, registered name, address, and entity type using the free 法人番号 API gBizINFO API — Enriches the lead with employee count, capital, establishment date, representative, subsidies, certifications, patents, and business summary using the free Ministry of Economy API Google Maps Places API — Fetches the company's star rating, review count, and business status for reputation assessment Website scraping — Fetches the compan
Generate M&A due diligence PDF reports with LlamaIndex, OpenAI, Pinecone, and S3
Streamline M&A due diligence with AI. This n8n workflow automatically parses financial documents using LlamaIndex, embeds data into Pinecone, and generates comprehensive, AI-driven reports with GPT-5-mini, saving hours of manual review and ensuring consistent, data-backed insights. Why Use This Workflow? Time Savings: Reduces manual document review and report generation from days to minutes. Cost Reduction: Minimizes reliance on expensive human analysts for initial data extraction and summary. Error Prevention: AI-driven analysis ensures consistent data extraction, reducing human error and oversight. Scalability: Effortlessly processes multiple documents and deals in parallel, scaling with your business needs. Ideal For Investment Analysts & Private Equity Firms:** Quickly evaluate target companies by automating the extraction of key financials, risks, and business models from deal documents. M&A Advisors:** Conduct preliminary due diligence efficiently, generating comprehensive overview reports for clients without extensive manual effort. Financial Professionals:** Accelerate research and analysis of company filings, investor presentations, and market reports for critical decision
Summarize YouTube videos in Slack using AssemblyAI transcription and OpenAI
🧠 How it works This workflow lets users generate structured summaries from YouTube videos directly inside Slack using n8n, AssemblyAI, and OpenAI. When a user submits a YouTube link via a Slack slash command, the workflow extracts the video ID and validates the video duration. Videos longer than the supported limit are stopped early with a clear message sent back to Slack. For valid videos, the workflow downloads the video audio as an MP3 file and sends it to AssemblyAI for transcription. Once the transcription is complete, the transcript is passed to an AI model to generate a structured summary. The final result includes a concise TL;DR, key takeaways, and notable quotes, which are formatted and posted back to Slack asynchronously using the original response URL. ⚙️ Features • Triggers from a Slack slash command with a YouTube link • Validates video length before processing (maximum 10 minutes) • Downloads YouTube audio as MP3 using RapidAPI • Transcribes audio using AssemblyAI • Generates structured summaries (TL;DR, key takeaways, notable quotes) • Posts the summarized result back to Slack asynchronously 💡 Use cases & expected outcomes • Educational YouTube videos → Receive a