Support Automation Agents

This workflow acts as an intelligent ticket‑handling system. It receives ticket details via a webhook, extracts key information, classifies the ticket type (e.g. return, account issue, product question), retrieves relevant articles from a knowledge base and generates a response. It can also send notifications to team channels (e.g., Slack or Discord) and keep track of ticket status. The template is suitable for helpdesk automation and customer service triage.

Setup & Instructions — fluidX: Create Session, Analyze & Notify Goal: This workflow demonstrates the full fluidX THE EYE integration — starting a live session, inviting both the customer (via SMS) and the service agent (via email), and then accessing the media (photos and videos) created during the session. Captured images are automatically analyzed with AI, uploaded to an external storage (such as Google Drive), and a media summary for the session is generated at the end. The agent receives an email with a link to join the live session. The customer receives an SMS with a link to start sharing their camera. Once both are connected, the agent can view the live feed, and the system automatically stores uploaded images and videos in Google Drive. When the session ends, the workflow collects all media and creates a complete AI-powered session summary (stored and updated in Google Drive). Below is an example screenshot from the customer’s phone: Prerequisites Developer account:* https://live.fluidx.digital (activate the *TEST plan**, €0) API docs (Swagger):** fluidX.digital API 🔐 Required Credentials 1️⃣ fluidX API key (HTTP Header Auth) • Credential name in n8n: fluidx API key • Header name: x-api-key • Header value: YOUR_API_KEY 2️⃣ SMTP account (for outbound email) • Credential name in n8n: SMTP account • Configure host, port, username, and password according to your provider • Enable TLS/SSL as required 3️⃣ Google Drive account • Used to store photos, videos, and automatically update the session summary files. 4️⃣ OpenAI API (for AI analysis & summary) •Used in the Analyze Images (AI) and Generate Summary parts of the workflow. • Credential type: OpenAI • Credential name (suggested): OpenAI account • API Key: your OpenAI API key • Model: e.g. gpt-4.1, gpt-4o, or similar (choose in the OpenAI node settings) ⚙️ Configuration (in the “Set Config” node) BASE_URL: https://live.fluidx.digital company / project / billingcode / sku: adjust as needed emailAgent: set before running (empty in template) phoneNumberUser: set before running (empty in template) Flow Overview Form Trigger → Create Session → Set Session Vars → Send SMS (User) → Send Email (Agent) → Monitor Media → Analyze Images (AI) → Upload Files to Google Drive → Generate Summary → Update Summary File The workflow starts automatically when a Form submission is received. Users enter the customer’s phone number and agent’s email, and the system creates a new fluidX THE EYE session. As media is uploaded during the session, the workflow automatically retrieves, stores, analyzes, and summarizes it — providing a complete end-to-end automation example for remote inspection, support, or field-service use cases. Notes Do not store real personal data inside the template. Manage API keys and secrets via n8n Credentials or environment variables. Log out of https://live.fluidx.digital in the agent’s browser before testing, to ensure a clean invite flow and session creation.

This workflow is designed to automate and standardize first-pass email triage for support teams as ticket volume grows. Instead of relying on manual judgment to decide who should handle each incoming case, it creates a structured routing process that is fast, consistent, and auditable.

This workflow automates the handling of inbound customer emails. Given a customer’s name, email subject and body, it classifies the query into predefined categories (e.g. product inquiry, refund request), retrieves relevant knowledge from your dataset, and uses an agent to compose a personalised reply that addresses the customer’s concerns. It streamlines customer support and ensures consistent responses.

Two-agent customer support system built with CrewAI -> Support Agent + QA Agent with memory, tool use, and guardrails

Open‑Box Deals Aggregator is a Dify tool powered by the TinyFish Web Agent. It searches multiple major retailers for open‑box, refurbished, and clearance deals in real time, then returns **clean, structured results** (e.g., product name, price, condition, and URL) that you can use inside your Dify workflows. Use it to: - Compare deals across retailers quickly - Build price‑tracking or deal‑alert workflows - Power shopping, sourcing, or research assistants with agent‑ready outputs

Smart chatbot with built-in memory for long conversations.

Automatically generate production-ready Dify workflow YAML from plain text requirements. Skip the tedious drag-and-drop design — just describe your agent, and this tool outputs a fully functional, importable workflow. Supports all core nodes including LLM, Code, If-Else, Iteration, and more. The generated workflow can be further edited in Dify for iteration and optimization.

根据上传的代码，阐明其的语法和语义。

工作流基础模板，一个能够识别意图的聊天机器人和知识库。

An AI that actually gets to know you. This template uses memory logic to extract and store facts, preferences, and details about you from your conversation in real-time.

Basic Workflow Template. A chatbot with a knowledge base.

使用 LLM 分类客户的评价，将评价传到内部系统。

猫仔 AI 机器人是一个面向房产用户的智能问答助手，适用于“猫仔找房”移动端、H5 页面或微信小程序中的购房咨询场景。机器人可以围绕长沙购房政策、人才购房补贴、公积金贷款、限购限售、房贷利率、房产交易流程、楼市资讯等问题进行回答。模板内置知识库检索节点，可优先引用已上传的本地政策文件和平台资料；也可接入 Tavily Search 等联网搜索工具，用于获取互联网最新公开信息。通过 LLM 节点对知识库内容和搜索结果进行综合整理，最终以口语化、清晰易懂的方式回复用户。适合房产平台做政策咨询、用户答疑、导购辅助和客服分流。

上传 PDF 或文档，几秒内获得高质量翻译。

Digital receptionist that sorts and routes users inquiries to specialized AI agents based on their intent.

Find local store leads in any area for any sales service (web design, SNS marketing, DX consulting, ad operations, etc.). Switch extraction mode (all stores / digital-weak only / has-website only) and result count (10-100) per query. Chain stores auto-excluded. Get your Bright Data API token at https://get.brightdata.com/tp1oc (existing promo codes still apply).

This workflow extracts structured information from images of a Chinese identity card. It processes the front (人像面) and back (国徽面) of the ID card separately, using vision‑enabled LLMs to extract fields such as Name, Gender, Ethnicity, Birth Date, Address, Issuing Authority, Validity Period and ID Number. The results are validated (e.g., checking dates and ID number format) and combined into a single JSON object. It is designed for onboarding, KYC or identity verification scenarios.

A text polishing and translation workflow that rewrites and refines content in multiple stages using DeepSeek, Gemini, and SiliconFlow models.

Providing translation capabilities in multiple programming languages, translating the user's input code into the programming language they need.

The AI Deliberation System requires a specific multi-agent setup within Dify Studio. Ensure you have access to LLM models capable of analytical reasoning (e.g., GPT-4o, Claude 3.5, or similar).

Agente de auxílio pedagógico e estrategista Funciona como uma mentora inteligente que utiliza UX Pedagógica e organização instrucional para processar e gerar rotas de aprendizagem sob medida para cada futuro mentoreado. O sistema foi projetado para realizar um diagnóstico rápido dos objetivos do usuário considerando suas necessidades) e, simultaneamente, atuar como um funil de conversão para a sua consultoria individual de high-ticket, identificando problemas complexos que demandam uma intervenção estratégica profunda.

混乱した複雑な会議のメモを、整理・構造化された議事録として瞬時に出力します。

基本ワークフローテンプレート。意図を特定できるチャットボットと知識ベース。

How it works This template launches your very first AI Agent —an AI-powered chatbot that can do more than just talk— it can take action using tools. Think of an AI Agent as a smart assistant, and the tools are the apps on its phone. By connecting it to other nodes, you give your agent the ability to interact with real-world data and services, like checking the weather, fetching news, or even sending emails on your behalf. This workflow is designed to be the perfect starting point: The Chat Interface:** A Chat Trigger node provides a simple, clean interface for you to talk to your agent. The Brains:** The AI Agent node receives your messages, intelligently decides which tool to use (if any), and formulates a helpful response. Its personality and instructions are fully customizable in the "System Message". The Language Model:* It uses *Google Gemini** to power its reasoning and conversation skills. The Tools:** It comes pre-equipped with two tools to demonstrate its capabilities: Get Weather: Fetches real-time weather forecasts. Get News: Reads any RSS feed to get the latest headlines. The Memory:** A Conversation Memory node allows the agent to remember the last few messages, enabling natural, follow-up conversations. Set up steps Setup time: ~2 minutes You only need one thing to get started: a free Google AI API key. Get Your Google AI API Key: Visit Google AI Studio at aistudio.google.com/app/apikey. Click "Create API key in new project" and copy the key that appears. Add Your Credential in n8n: On the workflow canvas, go to the Connect your model (Google Gemini) node. Click the Credential dropdown and select + Create New Credential. Paste your API key into the API Key field and click Save. Start Chatting! Go to the Example Chat node. Click the "Open Chat" button in its parameter panel. Try asking it one of the example questions, like: "What's the weather in Paris?" or "Get me the latest tech news." That's it! You now have a fully functional AI Agent. Try adding more tools (like Gmail or Google Calendar) to make it even more powerful.

SPOA is a Productivity Zone Program built in Dify that automates the weekly evidence assembly task for Security Product Managers. It runs two live workflows: one that fires in real time when a TAM or SE posts a field observation to a dedicated Slack channel, and one that runs every Monday to synthesize internal signals with the Microsoft Security RSS feed into a seven-section Weekly Operating View. Output includes top friction signals, adoption indicators, external developments, intersection flags, PM actions, Monday review topics, and a confidence assessment

Automate video creation with Veo3 and auto-post to Instagram, TikTok via Blotato Who is this for? This template is ideal for content creators, social media managers, YouTubers, and digital marketers who want to generate high-quality videos daily using AI and distribute them effortlessly across multiple platforms. It’s perfect for anyone who wants to scale short-form content creation without video editing tools. What problem is this workflow solving? Creating and distributing consistent video content requires: Generating ideas Writing scripts and prompts Rendering videos Manually posting to platforms This workflow automates all of that. It transforms one prompt into a professional AI-generated video and publishes it automatically — saving time and increasing reach. What this workflow does Triggers daily to generate a new idea with OpenAI (or your custom prompt). Creates a video prompt formatted specifically for Google Veo3. Generates a cinematic video using the Veo3 API. Logs the video data into a Google Sheet. Retrieves the final video URL once Veo3 finishes rendering. Uploads the video to Blotato for publishing. Auto-posts the video to Instagram, TikTok, YouTube, Facebook, LinkedIn, Threads, Twitter (X), Pinterest, and Bluesky. Setup Add your OpenAI API key to the GPT-4.1 nodes. Connect your Veo3 API credentials in the video generation node. Link your Google Sheets account and use a sheet with columns: Prompt, Video URL, Status. Connect your Blotato API key and set your platform IDs in the Assign Social Media IDs node. Adjust the Schedule Trigger to your desired posting frequency. How to customize this workflow to your needs Edit the AI prompt** to align with your niche (fitness, finance, education, etc.). Add your own branding overlays** using JSON2Video or similar tools. Change platform selection** by enabling/disabling specific HTTP Request nodes. Add a Telegram step** to preview the video before auto-posting. Track performance** by adding metrics columns in Google Sheets. 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube

//ASMR AI Workflow Who is this for? Content Creators, YouTube Automation Enthusiasts, and AI Hobbyists looking to autonomously generate and publish unique, satisfying ASMR-style YouTube Shorts without manual effort. What problem does this solve? This workflow solves the creative bottleneck and time-consuming nature of daily content creation. It fully automates the entire production pipeline, from brainstorming trendy ideas to publishing a finished video, turning your n8n instance into a 24/7 content factory. What this workflow does 1. Two-Stage AI Ideation & Planning: Uses an initial AI agent to brainstorm a short, viral ASMR concept based on current trends. A second "Planning" AI agent then takes this concept and expands it into a detailed, structured production plan, complete with a viral-optimized caption, hashtags, and descriptions for the environment and sound. 2. Multi-Modal Asset Generation: Video:* Feeds detailed scene prompts to the *ByteDance Seedance** text-to-video model (via Wavespeed AI) to generate high-quality video clips. Audio:* Simultaneously calls the *Fal AI** text-to-audio model to create custom, soothing ASMR sound effects that match the video's theme. Assembly:** Automatically sequences the video clips and sound into a single, cohesive final video file using an FFMPEG API call. 3. Closed-Loop Publishing & Logging: Logging:** Initially logs the new idea to a Google Sheet with a status of "In Progress". Publishing:** Automatically uploads the final, assembled video directly to your YouTube channel, setting the title and description from the AI's plan. Updating:** Finds the original row in the Google Sheet and updates its status to "Done", adding a direct link to the newly published YouTube video. Notifications:** Sends real-time alerts to Telegram and/or Gmail with the video title and link, confirming the successful publication. Setup Credentials: You will need to create credentials in your n8n instance for the following services: OpenAI API Wavespeed AI API (for Seedance) Fal AI API Google OAuth Credential (enable YouTube Data API v3 and Google Sheets API in your Google Cloud Project) Telegram Bot Credential (Optional) Gmail OAuth Credential Configuration: This is an advanced workflow. The initial setup should take approximately 15-20 minutes. Google Sheet:* Create a Google Sheet with these columns: idea, caption, production_status, youtube_url. Add the *Sheet ID** to the Google Sheets nodes in the workflow. Node Configuration:** In the Telegram Notification node, enter your own Chat ID. In the Gmail Notification node, update the recipient email address. Activate:** Once configured, save and set the workflow to "Active" to let it run on its schedule. How to customize Creative Direction:* To change the style or theme of the videos (e.g., from kinetic sand to soap cutting), simply edit the systemMessage in the *"2. Enrich Idea into Plan"* and *"Prompts AI Agent"** nodes. Initial Ideas:* To influence the AI's starting concepts, modify the prompt in the *"1. Generate Trendy Idea"** node. Video & Sound:* To change the video duration or sound style, adjust the parameters in the *"Create Clips"* and *"Create Sounds"** nodes. Notifications:* Add or remove notification channels (like Slack or Discord) after the *"Upload to YouTube"** node.

Ele funciona como um mentor inteligente que utiliza UX Pedagógica e organização instrucional para processar e gerar rotas de aprendizagem sob medida para cada futuro mentoreado. O sistema foi projetado para realizar um diagnóstico rápido dos objetivos do usuário considerando suas necessidades) e, simultaneamente, atuar como um funil de conversão para a sua consultoria individual de high-ticket, identificando problemas complexos que demandam uma intervenção estratégica profunda.

一款基于 Dify 构建的闭环式 AI 面试与自动评估助手。 核心功能： 多路问题动态生成：分析候选人背景与岗位，智能产出针对性开放问题。 渐进式匹配应答：严密捕获候选人的碎片式回答，支持缺答追问，确保数据收集完整。 闭环循环评估（STAR原则）：自动检索岗位标准，解构候选人回答，并按 1-5 分的标准输出多维度 HR 评分与改进建议。

Amazon の自社商品 URL と競合 5 商品の URL を入力すると、Bright Data Web Scraper API で 6 商品のメタデータ + Amazon 公式 AI 要約レビュー (`customer_says` フィールド) + 実レビュー本文 (各商品最大 20 件) を一括取得し、OpenAI GPT-4o-mini が 5 並列で各競合を「褒める点 / 不満 / 競合優位性 / 改善示唆 / 差別化案」の 5 観点で分析、3,000-5,000 字の Markdown 競合レポートを出力します。 通常 2-4 時間かかる Amazon 競合リサーチを 5-11 分に短縮、1 ラン約 $0.05-0.06。Amazon 公式が curated した `customer_says` を一次根拠、実レビュー本文を二次根拠として使うことで、生レビューを LLM に丸投げするより精度・コスト・速度のバランスが取れた設計になっています。amazon.co.jp / amazon.com 両対応。

🤖🥗 Telegram Nutrition AI Assistant (Alternative to Cal AI App) > AI-powered nutrition assistant for Telegram — log meals, set goals, and get personalized daily reports with Google Sheets integration. 📋 Description This n8n template creates a Telegram-based Nutrition AI Assistant 🥑🔥 designed as an open-source alternative to the Cal AI mobile app. It allows users to interact with an AI agent via text, voice, or images to track meals, calculate macros, and monitor nutrition goals directly from Telegram. The system integrates Google Sheets as the database, handling both user profiles and meal logs, while leveraging Gemini AI for natural conversation, food recognition, and daily progress reports. ✨ Key Features 💬 Multi-input support: Text, voice messages (transcribed), and food images (AI analysis). 📊 Macro calculation: Automatic estimation of calories, proteins, carbs, and fats. 📝 User-friendly registration: Simple onboarding without storing personal health data (no weight/height required). 🎯 Goal tracking: Users can set and update calorie and protein targets. 📈 Daily reports: Personalized progress messages with visual progress bars. 🗂 Google Sheets integration: Profile table for user targets. Meals table for food logs. 🔄 Advanced n8n nodes: Includes use of Merge, Subworkflow, and Code nodes for data processing and report generation. 💡 Acknowledgment Inspired by the Cal AI concept 💡 — this template demonstrates how to reproduce its main functionality with n8n, Telegram, and AI agents as a flexible, open-source automation workflow. 🏷 Tags telegram ai-assistant nutrition meal-tracking google-sheets food-logging voice-transcription image-analysis daily-reports n8n-template merge-node subworkflow-node code-node telegram-trigger google-gemini 💼 Use Case Use this template if you want to: 🥗 Log meals using text, images, or voice messages. 📊 Track nutrition goals (calories, proteins) with daily progress updates. 🤖 Provide a chat-based nutrition assistant without building a full app. 🗂 Store structured nutrition data in Google Sheets for easy access and analysis. 💬 Example User Interactions 📸 User sends a photo of a meal → AI analyzes the food and logs calories/macros. 🎤 User sends a voice message → AI transcribes and logs the meal. ⌨️ User types “report” → AI returns a daily nutrition summary with progress bars. 🥅 User says “update my protein goal” → AI updates profile in Google Sheets. 🔑 Required Credentials Telegram Bot API (Bot Token) Google Sheets API credentials AI Provider API (Google Gemini or compatible LLM) ⚙️ Setup Instructions 🗂 Create two Google Sheets tables: Profile: User_ID, Name, Calories_target, Protein_target Meals: User_ID, Date, Meal_description, Calories, Proteins, Carbs, Fats 🔌 Configure the Telegram Trigger with your bot token. 🤖 Connect your AI provider credentials (Gemini recommended). 📑 Connect Google Sheets with your credentials. ▶️ Deploy the workflow in n8n. 🎯 Start interacting with your nutrition assistant via Telegram. 📌 Extra Notes 🟩 Green section: Handles Telegram trigger and user check. 🟥 Red section: Registers new users and sets goals. 🟦 Blue section: Processes text, voice, and images. 🟨 Yellow section: Generates nutrition reports. 🟪 Purple section: Main AI agent controlling tools and logic. 💡 Need Assistance? If you’d like help customizing or extending this workflow, feel free to reach out: 📧 Email: [email protected] 🔗 LinkedIn: John Alejandro Silva Rodríguez

Turn every AI agent action into independently verifiable evidence. The agent returns an allow or deny decision, Asqav cryptographically signs the decision and the action into an audit trail, and the workflow verifies that signature in the same run. Asqav also supports multi-party signing and organization-wide governance.

这是一个多分支超级助手工作流，能根据用户问题类型，自动分发到不同模块处理： 1. 日常问答：用GPT回答生活常识、闲聊和实用建议； 2. 文案优化：润色、扩写用户文案，优化后不少于500字； 3. 图片生成：调用豆包文生图工具，根据用户描述生成图片； 4. 生活服务：调用高德地图MCP工具，处理路线、地点、天气查询。

「感情論を一切排除する」という冷徹な方針で設計された、三審制の合議シミュレーターです。このシステムはマルチエージェントフレームワークを活用し、検察・弁護・裁判官のLLMによる法廷論争をシミュレートします。ユーザーから入力されたチャットログなどの矛盾を厳格に精査し、客観的で多角的な判決を下します。意思決定の最適化やバイアスの排除、深い論理分析に最適です。

This workflow generates an automated information digest. A scheduled trigger runs at a predefined time and uses Google Search to retrieve relevant content from the web. The retrieved results are analyzed and summarized by a language model, which extracts key insights and formats them into a concise report. The final digest is then delivered via email. This workflow is suitable for monitoring industry trends, tracking specific topics, or creating automated daily briefings without manual searching.