Workflow Templates

This workflow shows how you can get your OpenAI assistant to call an n8n workflow as a tool. Since you can put almost any functionality in an n8n workflow, this means you can give your assistant access to almost any data source. Note that to use this template, you need to be on n8n version 1.19.4 or later.

Description This n8n workflow acts as your personal AI speechwriting coach, directly accessible through Telegram. It listens to your spoken or typed drafts, provides insightful feedback on clarity, engagement, structure, and content, and iteratively refines your message based on your updates. Once you're ready, it synthesizes a brand-new speech or talk incorporating all the improvements and your accumulated ideas. This tool streamlines the speechwriting process, offering on-demand AI assistance to help you craft impactful and well-structured presentations. How it Works Input via Telegram: You interact with the workflow by sending your speech drafts or talking points directly to a designated Telegram bot. AI Feedback: The workflow processes your input using AI models (OpenAI and/or Google Gemini) to analyze various aspects of your speech and provides constructive feedback via Telegram. Iterative Refinement: You can then send updated versions of your speech to the bot, receiving further feedback to guide your revisions. Speech Synthesis: When you send the command to "generate speech," the workflow compiles all your previous input and the AI's feedback to synthesize a new, improved speech or talk, which is then sent back to you via Telegram. New Speech Cycle: By sending the command "new speech," the workflow clears its memory, allowing you to start the process anew for a different topic. Set Up Steps (Takes Approximatly 5 Minutes) Step 1: Create a Telegram Bot and Obtain its ID Open the Telegram application and search for "BotFather". Start a chat with BotFather by clicking "Start" or sending the /start command. Create a new bot by sending the command /newbot. Follow BotFather's instructions to choose a name and username for your bot. Once your bot is created, BotFather will provide you with an API token. Keep this token secure as it's required to connect your n8n workflow to your bot. Step 2: Obtain an OpenAI API Key Go to the OpenAI website (https://platform.openai.com/) and sign up for an account if you don't already have one. Navigate to the API keys section (usually under your profile settings or a "Developers" tab). Click on "Create new secret key". Copy the generated API key and store it securely. You will need to provide this key to your n8n workflow to access OpenAI's language models. Step 3: Obtain a Google Gemini LLM API Key Go to the Google Cloud AI Platform or Google AI Studio website (the specific platform may vary depending on the current Google AI offerings; search for "Google AI API"). Sign up or log in with your Google account. Follow the instructions to enable the Gemini API and create an API key. This might involve creating a project if you haven't already. Copy the generated API key and store it securely. You can then configure your n8n workflow to utilize Google Gemini's language models as well. Customization Options This n8n workflow offers significant flexibility, below are a few options: Modify AI prompts to tailor feedback and generation for presentations, storytelling, interviews, sales pitches, academic talks, and creative writing. Switch the interface from Telegram to Slack, WhatsApp, or even a web interface by replacing the relevant n8n nodes. Integrate analysis for sentiment, keyword density, pacing (with voice input), and filler word detection by adjusting the workflow. Connect to external data sources to provide context to the AI for more targeted feedback and generation. This adaptability allows you to re use this workflow for a wide range of specific use cases and communication environments.

Auto Starter On importing workflows these will not be auto started, even if the old version was running. To fix this we created this workflow that can be run after n8n starts. It fits in our auto deploy pipeline and modified n8n container that will import workflows, start n8n and start the tagged workflows. Start this workflow after n8n starts. It will get all workflows in the running n8n instance. If the files have a tag 'Auto start' the workflow will be started. Check our Export workflows with readable names workflow for autostarting workflows after deployment. Configuration You need a a n8n api key configured.

Este workflow es para trabajar con tratamiento de texto usando n8n y poder iniciarte en como funciona. How To, Paso a Paso: https://comunidad-n8n.com/tratamiento-de-textos/ Comunidad de telegram: https://t.me/comunidadn8n

A powerful sub-agent that collects real-time market structure data from Binance for any trading pair — including price, volume, order book depth, and candlestick snapshots across multiple timeframes (15m, 1h, 4h, 1d). 🎥 Watch Tutorial: 🎯 Purpose This workflow powers the Quant AI system with: ✅ Real-time price feed (/ticker/price) ✅ 24-hour stats (OHLC, % change, volume via /ticker/24hr) ✅ Live order book depth (/depth) ✅ Latest candlestick data (/klines) for all major intervals All outputs are parsed and formatted using GPT and returned to the parent agent (e.g., Financial Analyst Tool) as a Telegram-optimized summary. ⚙️ Workflow Architecture | Node | Role | | ------------------------------------ | ------------------------------------------------------------ | | 🔗 Execute Workflow Trigger | Accepts input from parent workflow | | 🧠 Simple Memory | Stores session + symbol info | | 🤖 Binance SM Market Agent | Parses prompt, routes tool calls | | 💡 OpenAI Chat Model (gpt-4o-mini) | Converts raw data into a clean, readable format for Telegram | | 🌐 getCurrentPrice | Gets latest price | | 🌐 get24hrStats | Gets OHLC/volume over past 24 hours | | 🌐 getOrderBook | Gets top 100 bids and asks | | 🌐 getKlines | Gets latest 15m, 1h, 4h, and 1d candles | 📥 Input Requirements This workflow is not called directly by the user. Instead, it is triggered by another workflow, such as: { "message": "BTCUSDT", "sessionId": "539847013" } 📤 Telegram Output Example 📊 BTCUSDT Market Overview 💰 Price: $63,220 📈 24h Change: +2.3% | Volume: 45,210 BTC 📉 Order Book • Top Bid: $63,190 • Top Ask: $63,230 🕰️ Latest Candles • 15m: O: $63,000 | C: $63,220 | Vol: 320 BTC • 1h : O: $62,700 | C: $63,300 | Vol: 980 BTC • 4h : O: $61,800 | C: $63,500 | Vol: 2,410 BTC • 1d : O: $59,200 | C: $63,220 | Vol: 7,850 BTC ✅ Use Cases | Scenario | Output Provided | | ---------------------------------- | ------------------------------------------------------------ | | “Show current BTC price and trend” | Price, 24h stats, candles, and order book in one message | | “Candles for SOL” | 15m, 1h, 4h, 1d candlesticks for SOLUSDT | | Triggered by Quant AI system | Clean Telegram-ready summary with all structure tools merged | 🧩 Toolchain Breakdown | Tool Name | Endpoint | Purpose | | ----------------- | ---------------------- | ------------------------------ | | getCurrentPrice | /api/v3/ticker/price | Latest trade price | | get24hrStats | /api/v3/ticker/24hr | 24h OHLC, % change, volume | | getOrderBook | /api/v3/depth | Top 100 bids and asks | | getKlines | /api/v3/klines | 1-candle snapshot across 4 TFs | 🚀 Installation Steps Import the JSON into your n8n instance Connect your OpenAI credentials for the Chat Model node No Binance API key needed — public endpoints Trigger this tool only via: Binance SM Financial Analyst Tool Binance Spot Market Quant AI Agent 🔐 Licensing & Attribution © 2025 Treasurium Capital Limited Company Architecture, prompts, and trade structure are IP-protected. No unauthorized rebranding permitted. 🔗 For support: Don Jayamaha – LinkedIn

This workflow powers the Binance Spot Market Quant AI Agent, acting as the Financial Market Analyst. It fuses real-time market structure data (price, volume, kline) with multiple timeframe technical indicators (15m, 1h, 4h, 1d) and returns a structured trading outlook—perfect for intraday and swing traders who want actionable analysis in Telegram. 🔗 Requires the following sub-workflows to function: • Binance SM 15min Indicators Tool • Binance SM 1hour Indicators Tool • Binance SM 4hour Indicators Tool • Binance SM 1day Indicators Tool • Binance SM Price/24hStats/Kline Tool ⚙️ How It Works Triggered via webhook (typically by the Quant AI Agent). Extracts user symbol + timeframe from input (e.g., "DOGE outlook today"). Calls all linked sub-workflows to retrieve indicators + live price data. Merges the data and formats a clean trading report using GPT-4o-mini. Returns HTML-formatted message suitable for Telegram delivery. 📥 Sample Input { "message": "SOLUSDT", "sessionId": "654321123" } ✅ Telegram Output Format 📊 SOLUSDT Market Snapshot 💰 Price: $156.75 📉 24h Stats: High $160.10 | Low $149.00 | Volume: 1.1M SOL 🧪 4h Indicators: • RSI: 58.2 (Neutral-Bullish) • MACD: Crossover Up • BB: Squeezing Near Upper Band • ADX: 25.7 (Rising Trend) 📈 Resistance: $163 📉 Support: $148 🔍 Use Cases | Scenario | Outcome | | ------------------------------- | --------------------------------------------------------- | | User asks for “BTC outlook” | Returns 1h + 4h + 1d indicators + live price + key levels | | Telegram bot prompt: “DOGE now” | Returns short-term 15m + 1h analysis snapshot | | Strategy trigger inside n8n | Enables other workflows to consume structured signal data | 🎥 Watch Tutorial: 🧾 Licensing & Attribution © 2025 Treasurium Capital Limited Company Architecture, prompts, and trade report structure are IP-protected. No unauthorized rebranding or redistribution permitted. 🔗 For support: LinkedIn – Don Jayamaha

A professional-grade AI automation system for spot market trading insights on Binance. It analyzes multi-timeframe technical indicators, live price/order data, and crypto sentiment, then delivers fully formatted Telegram-style trading reports. 🎥 Watch Tutorial: 🧩 Required Workflows You must install and activate all of the following workflows for the system to function correctly: | ✅ Workflow Name | 📌 Function Description | | -------------------------------------------------- | -------------------------------------------------------------------------------- | | Binance Spot Market Quant AI Agent | Final AI orchestrator. Parses user prompt and generates Telegram-ready reports. | | Binance SM Financial Analyst Tool | Calls indicator tools and price/order data tools. Synthesizes structured inputs. | | Binance SM News and Sentiment Analyst Webhook Tool | Analyzes crypto sentiment, gives summary and headlines via POST webhook. | | Binance SM Price/24hrStats/OrderBook/Kline Tool | Pulls price, order book, 24h stats, and OHLCV klines for 15m–1d. | | Binance SM 15min Indicators Tool | Calculates 15m RSI, MACD, BBANDS, ADX, SMA/EMA from Binance kline data. | | Binance SM 1hour Indicators Tool | Same as above but for 1h timeframe. | | Binance SM 4hour Indicators Tool | Same as above but for 4h timeframe. | | Binance SM 1day Indicators Tool | Same as above but for 1d timeframe. | | Binance SM Indicators Webhook Tool | Technical backend. Handles all webhook logic for each timeframe tool. | ⚙️ Installation Instructions Step 1: Import Workflows Open your n8n Editor UI Import each workflow JSON file one by one Activate them or ensure they're called via Execute Workflow Step 2: Set Credentials OpenAI API Key** (GPT-4o recommended) Binance endpoints** are public (no auth required) Step 3: Configure Webhook Endpoints Deploy Binance SM Indicators Webhook Tool Ensure the following paths are reachable: /webhook/15m /webhook/1h /webhook/4h /webhook/1d Step 4: Telegram Integration Create a Telegram bot using @BotFather Add your Telegram API token to n8n credentials Replace the Telegram ID placeholder with your own Step 5: Final Trigger Trigger the Binance Spot Market Quant AI Agent manually or from Telegram The agent: Extracts the trading pair (e.g. BTCUSDT) Calls all tools for market data and sentiment Generates a clean, HTML-formatted Telegram report 💬 Telegram Report Output Format BTCUSDT Market Report Spot Strategy • Action: Buy • Entry: $63,800 | SL: $61,200 | TP: $66,500 • Rationale:  MACD Crossover (1h)  RSI Rebound from Oversold (15m)  Sentiment: Bullish Leverage Strategy • Position: Long 3x • Entry: $63,800 • SL/TP zones same as above News Sentiment: Slightly Bullish • "Bitcoin rallies as ETF inflows surge" – CoinDesk • "Whales accumulate BTC at key support" – NewsBTC 🧠 System Overview [Telegram Trigger] → [Session + Auth Logic] → [Binance Spot Market Quant AI Agent] → [Financial Analyst Tool + News Tool] → [All Technical Indicator Tools (15m, 1h, 4h, 1d)] → [OrderBook/Price/Kline Fetcher] → [GPT-4o Reasoning] → [Split & Send Message to Telegram] 🧾 Licensing & Attribution © 2025 Treasurium Capital Limited Company Architecture, prompts, and trade report structure are IP-protected. No unauthorized rebranding or resale permitted. 🔗 For support: LinkedIn – Don Jayamaha

Fact-Checking Workflow Documentation Overview This workflow is designed for automated fact-checking of texts. It uses AI models to compare a given text with a list of facts and identify potential discrepancies or hallucinations. Components 1. Input The workflow can be initiated in two ways: a) Manually via the "When clicking 'Test workflow'" trigger b) By calling from another workflow via the "When Executed by Another Workflow" trigger Required inputs: facts: A list of verified facts text: The text to be checked 2. Text Preparation The "Code" node splits the input text into individual sentences Takes into account date specifications and list elements 3. Fact Checking Each sentence is individually compared with the given facts Uses the "bespoke-minicheck" Ollama model for verification The model responds with "Yes" or "No" for each sentence 4. Filtering and Aggregation Sentences marked as "No" (not fact-based) are filtered The filtered results are aggregated 5. Summary A larger language model (Qwen2.5) creates a summary of the results The summary contains: Number of incorrect factual statements List of incorrect statements Final assessment of the article's accuracy Usage Ensure the "bespoke-minicheck" model is installed in Ollama (ollama pull bespoke-minicheck) Prepare a list of verified facts Enter the text to be checked Start the workflow The results are output as a structured summary Notes The workflow ignores small talk and focuses on verifiable factual statements Accuracy depends on the quality of the provided facts and the performance of the AI models Customization Options The summarization function can be adjusted or removed to return only the raw data of the issues found The AI models used can be exchanged if needed This workflow provides an efficient method for automated fact-checking and can be easily integrated into larger systems or editorial workflows.

This workflow looks for a Close Date value using REGEX in the IF node. If it finds the correct value, it will pass that value on. If it does not find the correct value, it will generate a value based on the present time plus three weeks. The final result will show up in the NoOps node. You can text this execution by enabling and disabling the Set node when you run the execution.

Overview This n8n workflow processes user feedback automatically, tags it with sentiment, and links it to relevant insights in Notion. It uses GPT-4 to analyze each feedback entry, determine whether it corresponds to an existing insight or a new one, and update the Notion databases accordingly. It helps teams centralize and structure qualitative user feedback at scale. Who It’s For Product teams looking to organize and prioritize user feedback. Founders or solo builders seeking actionable insights from qualitative data. Anyone managing a Notion workspace where feedback is collected and needs to be tagged or linked to features and improvements. Prerequisites A Notion account with: A Feedback database (must include fields for feedback content and status). An Insights database with multi-select fields for Solution, User Persona, and a relation to Feedback. The Notion template (linked below) helps you get started quickly — just remove the mock data. A configured Notion API integration in n8n. 👉 Don’t forget to connect the n8n integration to the correct Notion page. An OpenAI API key Notion Template This workflow is designed to work seamlessly with a pre-configured Notion template that includes the required feedback and insights structure. 👉 User Feedback Analysis – Notion Template How It Works The workflow is triggered when a feedback item is updated in Notion (e.g. new feedback is submitted). Sentiment analysis (Positive, Neutral, or Negative) is run using OpenAI and stored in a select field in Notion. The AI agent analyzes the feedback to: Identify whether it matches an existing insight. Or create a new insight in Notion with a concise name, solution, and user persona. The feedback is then linked to the appropriate insight and marked as "Processed." How to Use It Connect your Notion databases in all Notion nodes (including those used by the AI agent) for both Feedback and Insights — follow the node names provided. Ensure your OpenAI and Notion credentials are correctly set. Set up your product context: Define a “Product Overview” and list your “Core Features”. This helps the AI agent categorize insights more accurately. (The Basecamp product is used as an example in the template.) (Optional) Modify the prompt to better fit your specific product context. Once feedback is added or updated in Notion, the workflow triggers automatically. Notes Only feedback with the status Received is processed. New insights are only created if no relevant match is found. Feedback is linked to insights via Notion’s relation property. A fallback parser is included to fix potential formatting issues in the AI output. You can swap the default n8n memory for a more robust backend like Supabase. 🙏 Please share your feedback with us. It helps us tremendously!

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Telegram Voice AI Assistant This n8n template creates a multimodal Telegram bot that dynamically responds to users: Replies with voice** when receiving voice messages (using ElevenLabs TTS) Replies with text** for text-based queries Supports custom AI tools (e.g., crypto APIs, databases, or custom functions) Built with LangChain Agents, it can integrate any external API or data source into conversations. Key Features 🎙️ Smart Response Logic Voice Query? → Voice Reply** Transcribes audio via ElevenLabs STT Processes with AI (Groq/Gemini) Converts text response to natural speech (ElevenLabs TTS) Text Query? → Text Reply** Bypasses TTS/STT for faster responses 🛠️ Extensible AI Tools Add your own tools: Database lookups Weather/stock APIs Custom Python functions RAG (document retrieval) Supports multi-step tool chaining (e.g., "Get BTC price → analyze trends → summarize") 🌐 Language & Context Auto-detects user language (via Telegram’s language_code) Maintains session memory (remembers conversation history) Use Cases Voice-first customer support** Crypto/analytics assistants** (e.g., "What’s Ethereum’s current gas fee?") Multilingual FAQ bots** Educational tutors** (voice-interactive learning) Requirements Telegram Bot Token** ElevenLabs API Key** (For TTS/STT) Groq API Key* or *Google Gemini API Key** Customization Tips Change AI personality*: Modify the *systemMessage in the Voice Assistant node Add more models**: Swap Groq/Gemini for OpenAI, Anthropic, etc. Extend functionality**: Add RAG (Retrieval-Augmented Generation) for document queries Take this template to create a Siri-like AI assistant for Telegram in minutes! 🚀

What It Does This intelligent workflow simplifies the complex task of determining whether a website is legitimate or potentially a scam. By simply submitting a URL through a form, the system initiates a multi-agent evaluation process. Four dedicated AI agents—each powered by GPT-4o and connected to SerpAPI—analyze different dimensions of the website: domain and technical details, search engine signals, product and pricing patterns, and on-site content analysis. Their findings are then passed to a fifth AI agent, the Analyzer, powered by GPT-4o mini, which consolidates the data, scores the site on a scale of 1–10 for scam likelihood, and presents the findings in a clear, structured format for the user. Who It's For This workflow is ideal for anyone who needs to quickly and reliably assess the trustworthiness of a website. Whether you're a consumer double-checking a store before making a purchase, a small business owner validating supplier sites, a cybersecurity analyst conducting threat assessments, or a developer building fraud detection into your platform — this tool offers fast, AI-powered insights without the need for manual research or technical expertise. It's designed for both individuals and teams who value accurate, scalable scam detection. How It Works The process begins with a simple form submission where the user enters the URL of the website they want to investigate. Once submitted, the workflow activates four specialized AI agents—each powered by GPT-4o and connected to SerpAPI—to independently analyze the site from different angles: Agent 1 examines domain age, SSL certificates, and TLD trustworthiness. Agent 2 reviews search engine results, forum mentions, and public scam reports. Agent 3 analyzes product pricing patterns and brand authenticity. Agent 4 assesses on-site content quality, grammar, legitimacy of claims, and presence of business info. Each agent returns its findings, which are then aggregated and passed to a fifth AI agent—the Analyzer. This final agent, powered by GPT-4o mini, evaluates all the input, assigns a scam likelihood score from 1 to 10, and compiles a neatly formatted summary with organized insights and a disclaimer for context. Set UP You will need to obtain an Open AI API key from platform.openai.com/api-keys After you obtain this Open AI API key you will need to connect it to the Open AI Chat Model for all of the Tools agents (Analyzer, Domain & Technical Details, Search Engine Signals, Product & Pricing Patterns, and Content Analysis Tools Agents). You will now need to fund your Open AI account. GPT 4o costs ~$0.01 to run the workflow. Next you will need to create a SerpAPI account at https://serpapi.com/users/sign_up After you create an account you will need to obtain a SerpAPI key. You will then need to use this key to connect to the SerpAPI tool for each of the tools agents (Domain & Technical Details, Search Engine Signals, Product & Pricing Patterns, and Content Analysis Tools Agents) Tip: SerpAPI will allow you to run 100 free searches each month. This workflow uses ~5-15 SerpAPI searches per run. If you would like to utilize the workflow more than that each month, create multiple SerpAPI accounts and have an API key for each account. When you utilize all 100 free searches for an account, switch to the API key for another account within the workflow. Disclaimer This tool is designed to assist in evaluating the potential risk of websites using AI-generated insights. The scam likelihood score and analysis provided are based on publicly available information and should not be considered a definitive or authoritative assessment. This tool does not guarantee the accuracy, safety, or legitimacy of any website. Users should perform their own due diligence and use independent judgment before engaging with any site. N8N, OpenAI, its affiliates, and the creators of this workflow are not responsible for any loss, damages, or consequences arising from the use of this tool or the actions taken based on its results.