Workflow Templates

👥 Who is this for? Creators, marketers, and brands that want to turn a single product photo into premium motion clips, then optionally publish to Instagram/TikTok/YouTube via LATE. No editing skills required. ❓ What problem does it solve? Producing short vertical ads from a static packshot takes time (retouching, motion design, soundtrack, publishing). This workflow automates the entire process: image enhancement → cinematic motion → optional upscale → soundtrack → share. 🛠️ What this workflow does Collects a product photo via Telegram. Generates two refined edit prompts + two motion prompts using multi-agent Gemini orchestration. Creates two edited images with Fal.ai Gemini-Flash (image edit). Renders two 5s vertical videos with Kling (via fal.run queue). Auto-stitches them (FFmpeg API) and optionally upscales with Topaz. Generates a clean ambient soundtrack with MMAudio. Sends previews + final links back on Telegram. Optionally publishes to Instagram, TikTok, YouTube Shorts, and more via LATE. ⚡ Setup Telegram**: Bot token (Telegram node). Fal.ai**: HTTP Header Auth (Authorization: Bearer <FAL_API_KEY>) for Gemini-Flash edit, Kling queue, FFmpeg compose, Topaz upscale, and MMAudio. Google Gemini** (PaLM credential) for AI agents. ImgBB**: API key for uploading original/edited images. LATE: create an account at **getlate.dev and use your API key for publishing (optional). ▶️ How to use Start the workflow and DM your bot a clear product photo (jpg/jpeg/webp). Approve the two still concepts when prompted in Telegram. The orchestrator generates cinematic motion prompts and queues Kling renders. Receive two motion previews, then a stitched final (upscaled + soundtrack). Choose to auto-publish to Instagram/TikTok/YouTube via LATE (optional). 🎨 How to customize Art Direction** → tweak the “Art Director” system message (lighting, backgrounds, grading). Motion Flavor** → adjust the “Motion Designer” vocabulary for different camera moves/dynamics. Durations/Aspect** → default is 9:16, 5s; you can change Kling duration. Soundtrack** → edit the MMAudio prompt to reflect your brand’s sonic identity. Publishing** → enable/disable LATE targets; customize captions/hashtags. ✅ Prerequisites A Telegram bot created via @BotFather. A Fal.ai account + API key. An ImgBB account + API key. (Optional) a LATE account with connected social profiles — sign up at getlate.dev. 💡 Detailed technical notes, architecture, and step-by-step flow explanation are included as sticky notes inside this workflow. 🆘 Support If you need help setting up or customizing this workflow: 📧 Email: bilsimaging@gmail.com 🌐 Website: bilsimaging.com I can provide guidance, troubleshooting, or custom extra workflow adaptations.

Who's it for Content creators, trainers, and educators who need to convert lengthy documents into digestible micro-learning experiences. How it works This workflow takes your source content (PDFs, articles, handbooks) and uses GPT-4 to intelligently break it into 2-3 minute learning modules. Each module includes a key concept, explanation, practical example, and knowledge check question. How to set up Configure OpenAI credentials with GPT-4 access Connect Slack workspace (optional) Set up Google Docs integration Optionally, Send content via webhook or paste directly Requirements OpenAI API key with GPT-4 access Google Docs account (for document creation) Slack workspace (optional, for notifications) How to customize the workflow Adjust module count and length in AI prompts Modify output formats (email, mobile, Slack) Change document structure and styling Add custom delivery channels Perfect for converting employee handbooks, training materials, and documentation into engaging micro-learning courses that people actually complete.

Classify YouTube Trends and Generate Email Summaries with GPT-4 and Gmail Monitor YouTube channels, fetch stats, classify videos as viral (≥ 1000 likes) or normal, and auto‑generate LinkedIn/email summaries with GPT‑4. Deliver via Gmail or SMTP. Clear node names, examples, and auditable fields. 🎯 Overview This template monitors YouTube channels via RSS or the YouTube Data API, retrieves video stats, classifies each video as viral (≥ 1000 likes) or normal, and produces concise LinkedIn/email summaries with OpenAI (GPT‑4 family). It can send a compact weekly briefing via Gmail (OAuth2) or SMTP. Built for creators, marketing teams, and agencies who want automated trend alerts and ready‑to‑use content. This screenshot shows the Gmail-ready weekly briefing generated by the Generate Weekly Briefing (HTML) node in my YouTube Trend Detector workflow, confirming the end-to-end pipeline: RSS/API → stats → like-based classification (≥ 1000 = viral) → LLM summaries → HTML email. 🧭 How It Works (Node Map) Manual Run – ad‑hoc execution Set Channel IDs – provide one or more YouTube channelId values Split Channels – process channels one by one Fetch Latest Videos (RSS) – pull recent uploads via channel RSS Filter: Published in Last 72h – only recent items are kept Get Video Stats (YouTube API) – request snippet,statistics for likes and details Classify by Likes (Code) – sets classification to viral or normal Branch: Normal / Branch: Viral – separate LLM prompts per relevance Write Post (Normal / Viral) – generate LinkedIn‑style notes via OpenAI Aggregate Posts for Briefing – merge all texts into one block Generate Weekly Briefing (HTML) – produce a Gmail‑robust HTML email via GPT Send Weekly Briefing (Gmail/SMTP) – deliver briefing (you set recipients) ⚙️ Quick Start (≈ 3 minutes) Import the sanitized JSON into n8n (Menu → Import). Create credentials (use exact names): YouTube_API_Key — Generic credential (field: apiKey) OpenAi account — OpenAI API Key Gmail account (OAuth2) or SMTP_Default (SMTP) Configure channels: In Set Channel IDs, list your YouTube channelId values (e.g., UC…). Set recipients: In Send Weekly Briefing, add your target email(s). Test: Run Execute Workflow and review outputs from the LLM and send nodes. 🔑 Required Credentials YouTube_API_Key** — YouTube Data API v3 key (field apiKey) OpenAi account** — OpenAI API key for LLM nodes Gmail account* (OAuth2, recommended) *or* *SMTP_Default** (server/port/TLS + app password if 2FA) 🧩 Key Parameters & Adjustments Viral threshold:** In Classify by Likes (Code) → const THRESHOLD = 1000; YouTube API parts:** Use part=snippet,statistics to obtain likeCount Time window:* The filter keeps videos from the *last 72 hours** 🧪 Troubleshooting Missing likeCount / classification = "unknown"** → ensure part=statistics and a valid API key credential. Gmail OAuth redirect_mismatch / access_denied** → redirect must be https://<your-n8n-host>/rest/oauth2-credential/callback and test users added if restricted. SMTP auth issues** → set correct server/port/TLS and use an app password when 2FA is enabled. Empty LLM output** → verify OpenAI key/quota and inspect node logs. 🧾 Example Outputs 1) Classification (single video) { "videoId": "abc123XYZ", "title": "How to Ship an n8n Workflow with OpenAI", "likeCount": 1587, "classification": "viral", "needsStatsFetch": false } 2) LinkedIn draft (viral) Did you know how much faster prompt workflows get with structured inputs? • Setup: n8n + YouTube API + OpenAI for auto-briefs • Tip: include part=statistics for reliable like counts Useful for teams tracking trending how-to content. What’s your best “viral” signal besides likes? #n8n #YouTubeAPI #OpenAI #Automation #Growth 3) Plain‑text email preview Subject: Weekly AI Briefing — YouTube Trend Highlights Hi team, Highlights from our tracked channels: • Viral: “How to Ship an n8n Workflow with OpenAI” (1.6k likes) • Normal: “RSS vs API: What’s Best for Monitoring?” Generated via n8n + GPT‑4. ✅ Submission Checklist (meets the guidelines) Title clarity:* Mentions *GPT‑4* and *Gmail** Language:* Entire document in *English** Node naming:** Descriptive, non‑generic labels HTML → Markdown:* No HTML in this description; badges are *Markdown images** Examples:** Included (JSON, LinkedIn draft, email) Security:** No secrets in JSON; uses credentials by name 📸 Suggested Screenshots (optional) Full canvas overview (entire workflow) LLM output (expanded) showing generated summary Send‑node result with messageId/status Optional: aggregated briefing preview 📜 License & Support License: MIT Support/Contact: kaihoelters@yahoo.de

Automatically fetch, curate, and distribute Reddit content digests using AI-powered filtering. This workflow monitors multiple subreddits, ranks posts by relevance, removes spam and duplicates, then delivers beautifully formatted digests to Telegram, Discord, or Slack. Who's it for Perfect for content creators tracking trends, marketers monitoring discussions, researchers following specific topics, and community managers staying informed. Anyone who wants high-quality Reddit updates without manually browsing multiple subreddits. How it works The workflow fetches top posts from your chosen subreddits using Reddit's JSON API (no authentication required). Posts are cleaned, deduplicated, and filtered by upvote threshold and custom keywords. An AI model (Google Gemini, OpenAI, or Claude) then ranks remaining posts by relevance, filters out low-quality content, and generates a formatted digest. The final output is delivered to your preferred messaging platform on a schedule or on-demand. Setup requirements n8n version 1.0+ AI provider API key (Google Gemini recommended - has free tier) At least one messaging platform configured: Telegram bot token + chat ID Discord webhook URL Slack OAuth token + channel access How to set up Open the Configuration node and edit subreddit list, post counts, and keywords Configure the Schedule Trigger or use manual execution Add your AI provider credentials in the AI Content Curator node Enable and configure your preferred delivery platform (Telegram/Discord/Slack) Test with manual execution, then activate the workflow Customization options Subreddits**: Add unlimited subreddits to monitor (comma-separated) Time filters**: Choose from hour, day, week, month, year, or all-time top posts Keywords**: Set focus keywords to prioritize and exclude keywords to filter out Post count**: Adjust how many posts to fetch vs. how many appear in final digest AI prompt**: Customize ranking criteria and output format in the AI node Schedule**: Use cron expressions for hourly, daily, or weekly digests Output format**: Modify the formatting code to match your brand style Add email notifications, database storage, or RSS feed generation by extending the workflow with additional nodes.

Research meeting attendees and prepare daily agenda in Slack This workflow automatically researches your meeting attendees every morning and sends you a comprehensive brief in Slack with context about who you're meeting, their company, and key talking points. Who's it for Sales professionals who need quick context before meetings Executives with packed calendars who need meeting preparation Customer success teams managing multiple client relationships Account managers preparing for client calls Business development teams researching prospects Anyone who wants to be better prepared for their daily meetings How it works Daily Trigger: Runs every weekday morning at 6 AM (customizable) to analyze your Google Calendar Calendar Analysis: Fetches all meetings scheduled for today and filters for external meetings (those with attendees other than yourself) AI-Powered Research: For each external meeting, an AI agent researches attendees using multiple sources: Searches your CRM (Attio) for existing contact information Queries Gmail history for past email interactions Searches past calendar events for previous meetings with attendees Performs web searches for recent news about attendees and their companies Retrieves company data from Apollo.io including industry, size, and technologies CRM Updates: Automatically creates new contact records in Attio for unknown attendees and adds meeting preparation notes to existing contacts Brief Generation: Compiles all research into a scannable, actionable meeting brief with key talking points Slack Delivery: Sends the formatted brief to your designated Slack channel for easy mobile access Setup requirements Google Calendar** OAuth2 connection (for fetching meetings) Slack** workspace with bot permissions (for receiving briefs) Gmail** OAuth2 connection (for email history search) OpenRouter** API key (for AI processing) Attio CRM** account and API token (optional - for contact management) Apollo.io** API key (optional - for company research) Anthropic** API key (optional - for advanced web search) How to customize Adjust Schedule: Modify the Schedule Trigger node to run at your preferred time - change from 6 AM to whenever works best for your schedule Customize Research Sources: Remove CRM integration if you don't use Attio Remove Apollo.io if you don't need company research Add additional research tools as needed Modify Output Format: Edit the prompt in "Format Daily Meeting Brief" node to change how the information is structured and presented Change Delivery Method: Replace Slack with Microsoft Teams, email, or Discord Add multiple delivery channels if needed Send to different channels based on meeting type Filter Meetings: Adjust the filtering logic to include/exclude certain types of meetings based on keywords, attendees, or calendar properties Advanced customization Add VIP alerts**: Create special handling for meetings with executives or key clients Include preparation documents**: Automatically attach relevant files from Google Drive Time zone handling**: Adjust for meetings across different time zones Language support**: Modify prompts to generate briefs in different languages

This automated n8n workflow transforms uploaded radiology images into professional, patient-friendly PDF reports. It uses AI-powered image analysis to interpret medical scans, simplify technical terms, and produce clear explanations. The reports are formatted, converted to PDF, stored in a database, and sent directly to patients via email, ensuring both accuracy and accessibility. 🏥 Workflow Overview: Simple Process Flow: Upload Image → 2. AI Analysis → 3. Generate Report → 4. Send to Patient 🔧 How It Works: Webhook Trigger - Receives image uploads via POST request Extract Image Data - Processes patient info and image data AI Image Analysis - Uses GPT-4 Vision to analyze the radiology image Process Analysis - Structures the AI response into readable sections Generate PDF Report - Creates a beautiful HTML report Convert to PDF - Converts HTML to downloadable PDF Save to Database - Logs all reports in Google Sheets Email Patient - Sends the report via email Return Response - Confirms successful processing 📊 Key Features: AI-Powered Analysis** using GPT-4 Vision Patient-Friendly Language** (no medical jargon) Professional PDF Reports** with clear sections Email Delivery** with report attachment Database Logging** for record keeping Simple Webhook Interface** for easy integration 🚀 Usage Example: Send POST request to webhook with: { "patient_name": "John Smith", "patient_id": "P12345", "scan_type": "X-Ray", "body_part": "Chest", "image_url": "https://example.com/xray.jpg", "doctor_name": "Dr. Johnson", "patient_email": "john@email.com" } ⚙️ Required Setup: OpenAI API - For GPT-4 Vision image analysis PDF Conversion Service - HTML to PDF converter Gmail Account - For sending reports Google Sheets - For logging reports Replace YOUR_REPORTS_SHEET_ID with your actual sheet ID Want a tailored workflow for your business? Our experts can craft it quickly Contact our team

This automation workflow transforms Meta advertising data into executive ready presentation decks, eliminating manual report creation while ensuring stakeholders receive consistent performance insights. It generates professional Google Slides presentations from your ad campaigns and delivers them automatically via email to designated recipients. By combining scheduled data extraction with AI-powered analysis and automated presentation building, you'll receive polished, actionable reports that facilitate strategic advertising decisions and client communication Key Features: Scheduled automated summary deck generation (daily, weekly, or monthly) AI powered data analysis using advanced language models Intelligent presentation generation with actionable recommendations Direct email delivery of formatted summary decks Prerequisites: GoMarble MCP account and API access Anthropic account Google Slides, Google Drive & Gmail accounts n8n instance (cloud or self-hosted) Configuration Time: ~15-20 minutes Step By Step Setup: 1. Connect GoMarble MCP to n8n Follow the integration guide: GoMarble MCP Setup Configure your Meta Ads account credentials in GoMarble platform 2. Configure the Schedule Trigger 3.Customize the Ad Account Settings. Update the account name to match your ad account name. 4. Customise the Report Prompt (Although the workflow includes a pre configured template report prompt) Define specific metrics and KPIs to track Set analysis parameters and report format preferences 5. Set up AI Agent Configuration Configure Anthropic Claude model with your API credentials Connect the GoMarble MCP tools for Meta advertising data 6. Configure Google Services Integration Set up Google Slides OAuth2 API for presentation creation Configure Google Drive OAuth2 API for file management Link Gmail OAuth2 for automated email delivery 7. Customize Email Delivery Set recipient email addresses for stakeholders Customize email subject line and message content Advanced Configuration Modify report prompt to include specific metrics and KPIs Adjust slide content structure (5-slide format: Executive Snapshot, Channel KPIs, Top Campaigns, Under-performers, Action Recommendations) What You'll Get Automated Presentation Creation: Weekly Google Slides decks generated without manual intervention Professional Ads Analysis: Executive-ready performance summaries with key metrics and insights Structured Intelligence: Consistent 5-slide format covering spend, ROAS, campaign performance, and strategic recommendations Direct Stakeholder Delivery: Presentations automatically emailed as attachments to specified recipients Data-Driven Insights: AI-powered analysis of campaign performance with actionable next steps Scalable Reporting: Easy to modify timing, recipients, or content structure as business needs evolve Perfect for marketing teams, agencies, and business owners who need regular Meta advertising performance updates delivered professionally without manual report creation.

🤖 Instagram Automation Suite: AI Chatbot & Content Powerhouse Workflow Overview This cutting-edge n8n workflow is a comprehensive automation solution designed to streamline various Instagram operations. It combines an intelligent AI chatbot for direct message management, automated user following, and an advanced content generation system, all integrated to enhance your Instagram presence and efficiency. This workflow automatically: Manages Instagram Direct Messages via Telegram Chatbot: Listens for new messages on Telegram. Routes messages from a specific Instagram user (Wolf23000) for processing. Utilizes an AI agent (powered by OpenRouter's cutting-edge models) to determine the intent of the message (e.g., chat back, run an Instagram-related action like getting profile info, posting, or following). Sends AI-generated responses back to the user via Telegram. Automates Instagram User Following: Scheduled to run at regular intervals (hourly). Processes a list of usernames (likely from a Google Sheet, though not explicitly shown in the provided JSON, it's a common pattern for "Auto Follow users from sheet" sticky note). Initiates following actions on Instagram for the specified users. Generates & Schedules Instagram Posts: Scheduled to run monthly. Leverages an AI agent (powered by OpenRouter) to generate 30 or 31 Instagram post ideas for the current month, based on a predefined "Instagram personality profile." Each post idea includes an imagePrompt (for AI image generation), a caption with emojis and hashtags, and a scheduledDate. Refines these post ideas by enhancing the imagePrompt to be more vivid and detailed for AI image generation, and polishing the caption for optimal engagement. Updates a Google Sheet ("posts generation plan") with the generated content, including the enhanced image prompts and the resulting image URLs (presumably from a separate image generation step not fully detailed in the provided JSON, but implied by image_url updates). Key Benefits Intelligent DM Management: Automate responses and actions for Instagram direct messages, ensuring timely and relevant interactions without manual effort. Effortless Audience Growth: Automatically follow target users, expanding your reach and potential engagement on Instagram. AI-Powered Content Creation: Generate a full month's worth of diverse, engaging Instagram post ideas tailored to a specific personality, complete with image prompts and captions. Content Optimization: Automatically enhance image prompts for better AI image generation and refine captions for maximum impact. Time-Saving: Significantly reduce the manual workload associated with Instagram management, from direct messages to content planning and execution. Consistent Brand Voice: Maintain a consistent and engaging presence on Instagram with AI-generated content aligned with your defined personality. Setup Requirements To set up and run this workflow, you'll need the following: n8n Installation: Install n8n (cloud or self-hosted). The latest stable version, as of July 2025, is v1.101.1. Import the workflow configuration. Configure API credentials for all integrated services. Set up scheduling preferences for continuous operation. System Requirements for Self-Hosting: A modern multi-core processor (2 cores minimum, 4 recommended), 2 GB RAM (4 GB or more recommended), and 20 GB of free SSD storage. Node.js version 16 or later (18.x LTS recommended) is required. PostgreSQL is the recommended database for production. Telegram API Access: Create a Telegram bot via BotFather and obtain your API token. Configure the Telegram Trigger node with your bot's API credentials to receive messages. Pricing: Telegram's API is free to use. OpenRouter API Access: Create an OpenRouter account and generate an API key. This key ({{your open router api key }} as seen in the code) is used to access their chat models (e.g., google/gemini-2.5-flash-preview) for AI agent operations. Pricing: OpenRouter offers a variety of models with different pricing structures, including some free models like DeepSeek R1. Most models operate on a pay-per-usage basis, with costs clearly displayed for each model and prompt. Instagram Session ID: You'll need a valid Instagram session ID ({{ your instagram session ID }} as seen in the code) for the workflow to interact with Instagram. This usually involves extracting it from your browser's cookies after logging into Instagram. Caution: Instagram's terms of service generally prohibit automated interactions, and using session IDs for scraping or automation can lead to account suspension. Use with extreme caution and at your own risk. Apify token setup: *You'll need to replace {{ your apify token }} with you apify token in https requests Google Sheets Credentials: A Google Cloud API key with access to Google Sheets. Set up OAuth2 authentication in n8n for read/write access to your "posts generation plan" spreadsheet (Document ID: 1XHNwAXR4USThaAzX1Y6M5PF2P8WqCBU8mi34FBLkV6M). This sheet is used to store and manage generated post ideas. Pricing: The Google Sheets API is generally free for most common use cases, with generous per-minute quotas (300 read and 300 write requests per minute per project, 60 per user per project). No additional charges are incurred for exceeding these limits. https://docs.google.com/spreadsheets/d/1Ze5SC1g6Q5VzMAKYx0zmqlT00Db1HOchUth1jrPyM2Y/edit?usp=sharing https://docs.google.com/spreadsheets/d/1XHNwAXR4USThaAzX1Y6M5PF2P8WqCBU8mi34FBLkV6M/edit?usp=sharing Predefined Instagram Personality JSON: The workflow relies on a detailed JSON object defining an "Instagram personality" (e.g., user_id, username, full_name, bio, content_preferences, personality_traits, unfulancer_attributes). This JSON needs to be correctly set within the Code nodes (Variables, Variables1, Variables2) to guide the AI content generation. Workflow Architecture [Telegram New Message Trigger] ⬇️ [Variables (Set OpenRouter API Key, Instagram Personality, Session ID)] ⬇️ [Switch (Filter messages from 'Wolf23000' and ensure message text exists)] ⬇️ [Edit Fields (Extract message text)] ⬇️ [AI Agent (Determine action based on message intent)] ⬇️ [Structured Output Parser (Parse AI agent's JSON output)] ⬇️ [Switch1 (Route based on AI agent's determined action: chat_back, run_agent, get_instagram_profile)] ⬇️ ┌─────────────┬─────────────┬─────────────┐ │ │ │ │ ▼ ▼ ▼ ▼ [Send a text message1 (Chat back)] [Send a text message (Run agent confirmation)] [Send a text message2 (Get profile confirmation)] ▲ │ [Schedule Trigger (Hourly for Instagram follow)] ⬇️ [Variables (Set OpenRouter API Key, Instagram Personality, Session ID)] ⬇️ [Code (Prepare usernames for following)] ⬇️ [Code1 (Process followed usernames)] ⬇️ [Schedule Trigger2 (Monthly for Instagram post generation)] ⬇️ [AI Agent1 (Generate monthly Instagram post ideas)] ⬇️ [OpenRouter Chat Model (AI Model for content generation)] ⬇️ [Code2 (Parse AI agent's JSON output)] ⬇️ [Schedule Trigger3 (Daily for post generation refinement and auto-posting)] ⬇️ [AI Agent2 (Enhance image prompts and captions)] ⬇️ [OpenRouter Chat Model2 (AI Model for prompt refinement)] ⬇️ [Update row in sheet1 (Update Google Sheet with enhanced content)] ⬇️ [Get row(s) in sheet2 (Retrieve data from Google Sheet)] Connect With Me Exploring AI-Powered Social Media Automation? 📧 Email: mohamedgb00714@gmail.com 💼 LinkedIn: Mohamed el Hadi Msaid Supercharge your Instagram presence with intelligent automation and AI-driven content\! 🚀

Multi-agent RAG system for smarter BRD (Business Requirement Document) writing Who’s it for This workflow is designed for Business Analysts, Project Managers, and Operations Teams who need to automate the creation, tracking, and delivery of Business Requirements Documents (BRDs) from submitted forms and supporting materials. It’s ideal for organizations handling multiple BRD requests and looking to streamline document generation, archiving, and communication. How it works / What it does Trigger: The process begins when a BRD request form is submitted along with any supporting files. Sample supporting document PDF: Download URL Data Recording: Creates a BRD request record and appends it to a tracking Google Sheet. Handles multiple uploaded files, saving them to Google Drive. Creates supporting document records and updates the supporting documents tracking sheet. Content Extraction & Storage: Extracts text from uploaded PDF files. Inserts extracted content into a vector store for contextual retrieval by AI agents. Document Generation: Uses two specialized AI agents: General BRD Writer Agent for the overall document structure. Business Requirement Writer Agent for detailed business requirement sections. Both agents query the stored data and produce content, which is then merged. Metadata & File Creation: Configures metadata for the document. Creates a final document file (Google Docs). Finalization: Converts the document to PDF Sample output Archives the PDF in Google Drive. Sends a BRD response email to the requester with the completed document. Updates the request status in the Google Sheet as completed. How to set up Prepare Google Sheets: Create a BRD tracking sheet. Create a supporting document tracking sheet. Configure Google Drive: Set up folders for supporting documents and archived PDFs. Ensure the workflow has API access to upload and retrieve files. Form Integration: Connect your BRD request form to trigger the workflow. Vector Store: Configure a vector database or embedding store for extracted document text. AI Agents: Configure the General BRD Writer Agent and Business Requirement Writer Agent with your preferred OpenAI model. Link both agents to the Query Data Tool for retrieving embedded content. Email Setup: Configure email sending credentials to deliver final BRDs to requesters. Requirements Google Sheets API credentials. Google Drive API credentials. An OpenAI API key with access to the desired models. A form submission trigger (e.g., Google Forms, Typeform). Vector store or embedding database for contextual AI queries. Permissions for file uploads, downloads, and updates in Google Drive. How to customize the workflow Custom Templates**: Modify the AI agents’ system prompts to match your organization’s BRD format and tone. Metadata Fields**: Add custom fields (e.g., department, priority level) during metadata configuration. File Storage Paths**: Adjust Google Drive folder structure for project-specific storage. Approval Steps**: Insert an approval workflow between draft document creation and final archiving. Notification Channels**: Add Slack, Microsoft Teams, or other notification integrations in addition to email. AI Model Selection**: Swap the OpenAI model for another LLM or fine-tuned variant to improve BRD quality for your domain.

🧠 Overview Generate empathetic, professional reply drafts for customer or user messages. The workflow detects sentiment, tone, and risk level, drafts a concise response, sanitizes PII/links/emojis, and auto-escalates risky or low-confidence cases to human review. ⚙️ How It Works Input — Manual Test or Webhook Trigger AI Agent (Empathy) — returns { sentiment, tone, reply, confidence, needs_handover } Post-Process & Sanitize — removes URLs/hashtags, masks PII, caps length Risk & Handover Rules — checks confidence threshold, risk words, and negativity Routing — auto-send safe replies or flag to Needs Review 🧩 Setup Instructions (3–5 min) Open Set Config1 and adjust: MAX_LEN (default 600) ADD_FOLLOWUP_QUESTION (true/false) FORMALITY (auto | casual | polite) EMOJI_ALLOWED (true/false), BLOCK_LINKS (true/false) RISK_WORDS (e.g., refund, lawsuit, self-harm) Connect Anthropic credential to Anthropic Chat Model (Optional) Replace Manual Trigger with Webhook Trigger for real-time use > Tip: If you need to show literal angle brackets in messages, use backticks like `<example>` (no HTML entities needed). 📚 Use Cases 1) SaaS Billing Complaints Input:** “I was billed after canceling. This is unacceptable.” Output:** Calm, apologetic reply with refund steps; escalates if refund is in RISK_WORDS or confidence < 0.45. 2) Product Bug Reports Input:** “Upload fails on large files since yesterday.” Output:** Acknowledges impact, requests logs, offers workaround; routes to auto-send if low risk and high confidence. 3) Delivery/Logistics Delays Input:** “My order is late again. Should I file a complaint?” Output:** Empathetic apology, ETA guidance, partial credit policy note; escalates if language indicates legal action. 4) Community Moderation / Abuse Input:** “Support is useless—you’re all scammers.” Output:** De-escalating, policy-aligned response; auto-flags due to negative sentiment + risk keyword match. 5) Safety / Self-harm Mentions Input:** “I feel like hurting myself if this isn’t fixed.” Output:* *Immediate escalation**, inserts approved resources; never auto-sends. 🚨 Auto-Escalation Rules (defaults) Negative** sentiment Message matches any RISK_WORDS confidence < 0.45 Mentions of legal, harassment, or self-harm context 🧪 Notes & Best Practices 🔐 No hardcoded API keys — use n8n Credentials 🧭 Tune thresholds and RISK_WORDS to your org policy 🧩 Works on self-hosted or cloud n8n ✅ Treat outputs as drafts; ship after human/policy review 🔗 Resources GitHub (template JSON):** https://github.com/yskmtb0714/n8n-workflows/blob/main/empathy-reply-assistant.json

AI-powered alt text generation from Google Sheets to WordPress media Who's it for WordPress site owners, content managers, and accessibility advocates who need to efficiently add alt text descriptions to multiple images for better SEO and web accessibility compliance. What it does This workflow automates the process of generating and updating alt text for WordPress media files using AI analysis. It reads image URLs from a Google Sheet, analyzes each image with Claude AI to generate accessibility-compliant descriptions, updates the sheet with the generated alt text, and automatically applies the descriptions to the corresponding WordPress media files. The workflow includes error handling to skip unsupported media formats and continue processing. How it works Input: Provide a Google Sheets URL containing image URLs and WordPress media IDs Authentication: Retrieves WordPress credentials from a separate sheet and generates Base64 authentication Processing: Loops through each image URL in the sheet AI Analysis: Claude AI analyzes each image and generates concise, accessible alt text (max 125 characters) Error Handling: Automatically skips unsupported media formats and continues with the next item Update Sheet: Writes the generated alt text back to the Google Sheet WordPress Update: Updates the WordPress media library with the new alt text via REST API Requirements Google Sheets with image URLs and WordPress media IDs WordPress site with Application Passwords enabled Claude AI (Anthropic) API credentials WordPress admin credentials stored in Google Sheets Export Media URLs WordPress plugin for generating the media list How to set up Step 1: Export your WordPress media URLs Install the "Export Media URLs" plugin on your WordPress site Go to the plugin settings and check both ID and URL columns for export (these are mandatory for the workflow) Export your media list to get the required data Step 2: Configure WordPress Application Passwords Go to WordPress Admin → Users → Your Profile Scroll down to "Application Passwords" section Enter application name (e.g., "n8n API") Click "Add New Application Password" Copy the generated password immediately (it won't be shown again) Step 3: Set up Google Sheets Duplicate this Google Sheets template to get the correct structure. The template includes two sheets: Sheet 1: "Export media" - Paste your exported media data with columns: ID (WordPress media ID) URL (image URL) Alt text (will be populated by the workflow) Sheet 2: "Infos client" - Add your WordPress credentials: Admin Name: Your WordPress username KEY: The application password you generated Domaine: Your site URL without https:// (format: "example.com") Step 4: Configure API credentials Add your Anthropic API credentials to the Claude node Connect your Google Sheets account to the Google Sheets nodes How to customize Language: The Claude prompt is in French - modify it in the "Analyze image" node for other languages Alt text length: Adjust the 125-character limit in the Claude prompt Batch processing: Change the batch size in the Split in Batches node Error handling: The workflow automatically handles unsupported formats, but you can modify the error handling logic Authentication: Customize for different WordPress authentication methods This workflow is perfect for managing accessibility compliance across large WordPress media libraries while maintaining consistent, AI-generated descriptions. It's built to be resilient and will continue processing even when encountering unsupported media formats.

Who's it for Marketing teams, business intelligence professionals, competitive analysts, and executives who need consistent industry monitoring with AI-powered analysis and automated team distribution via Discord. What it does This intelligent workflow automatically monitors multiple industry topics, scrapes and analyzes relevant news articles using Claude AI, and delivers professionally formatted intelligence reports to your Discord channel. The system provides weekly automated monitoring cycles with personalized bot communication and comprehensive content analysis. How it works The workflow follows a sophisticated 7-phase automation process: Scheduled Activation: Triggers weekly monitoring cycles (default: Mondays at 9 AM) Query Management: Retrieves monitoring topics from centralized Google Sheets configuration News Discovery: Executes comprehensive Google News searches using SerpAPI for each configured topic Content Extraction: Scrapes full article content from top 3 sources per topic using Firecrawl AI Analysis: Processes scraped content using Claude 4 Sonnet for intelligent synthesis and formatting Discord Optimization: Automatically segments content to comply with Discord's 2000-character message limits Automated Delivery: Posts formatted intelligence reports to Discord channel with branded "Claptrap" bot personality Requirements Google Sheets account for query management SerpAPI account for Google News access Firecrawl account for article content extraction Anthropic API access for Claude 4 Sonnet Discord bot with proper channel permissions Scheduled execution capability (cron-based trigger) How to set up Step 1: Configure Google Sheets query management Create monitoring sheet: Set up Google Sheets document with "Query" sheet Add search topics: Include industry keywords, competitor names, and relevant search terms Sheet structure: Simple column format with "Query" header containing search terms Access permissions: Ensure n8n has read access to the Google Sheets document Step 2: Configure API credentials Set up the following credentials in n8n: Google Sheets OAuth2: For accessing query configuration sheet SerpAPI: For Google News search functionality with proper rate limits Firecrawl API: For reliable article content extraction across various websites Anthropic API: For Claude 4 Sonnet access with sufficient token limits Discord Bot API: With message posting permissions in target channel Step 3: Customize scheduling settings Cron expression: Default set to "0 9 * * 1" (Mondays at 9 AM) Frequency options: Adjust for daily, weekly, or custom monitoring cycles Timezone considerations: Configure according to team's working hours Execution timing: Ensure adequate processing time for multiple topics Step 4: Configure Discord integration Set up Discord delivery settings: Guild ID: Target Discord server (currently: 919951151888236595) Channel ID: Specific monitoring channel (currently: 1334455789284364309) Bot permissions: Message posting, embed suppression capabilities Brand personality: Customize "Claptrap" bot messaging style and tone Step 5: Customize content analysis Configure AI analysis parameters: Analysis depth: Currently processes top 3 articles per topic Content format: Structured markdown format with consistent styling Language settings: Currently configured for French output (easily customizable) Quality controls: Error handling for inaccessible articles and content How to customize the workflow Query management expansion Topic categories: Organize queries by industry, competitor, or strategic focus areas Keyword optimization: Refine search terms based on result quality and relevance Dynamic queries: Implement time-based or event-triggered query modifications Multi-language support: Add international keyword variations for global monitoring Advanced content processing Article quantity: Modify from 3 to more articles per topic based on analysis needs Content filtering: Add quality scoring and relevance filtering for article selection Source preferences: Implement preferred publisher lists or source quality weighting Content enrichment: Add sentiment analysis, trend identification, or competitive positioning Discord delivery enhancements Rich formatting: Implement Discord embeds, reactions, or interactive elements Multi-channel distribution: Route different topics to specialized Discord channels Alert levels: Add priority-based messaging for urgent industry developments Archive functionality: Create searchable message threads or database storage Integration expansions Slack compatibility: Replace or supplement Discord with Slack notifications Email reports: Add formatted email distribution for executive summaries Database storage: Implement persistent storage for historical analysis and trending API endpoints: Create webhook endpoints for third-party system integration AI analysis customization Analysis templates: Create topic-specific analysis frameworks and formatting Competitive focus: Enhance competitor mention detection and analysis depth Trend identification: Implement cross-topic trend analysis and strategic insights Summary levels: Create executive summaries alongside detailed technical analysis Advanced monitoring features Intelligent content curation The system provides sophisticated content management: Relevance scoring: Automatic ranking of articles by topic relevance and publication authority Duplicate detection: Prevents redundant coverage of the same story across different sources Content quality assessment: Filters low-quality or promotional content automatically Source diversity: Ensures coverage from multiple perspectives and publication types Error handling and reliability Graceful degradation: Continues processing even if individual articles fail to scrape Retry mechanisms: Automatic retry logic for temporary API failures or network issues Content fallbacks: Uses article snippets when full content extraction fails Notification continuity: Ensures Discord delivery even with partial content processing Results interpretation Intelligence report structure Each monitoring cycle delivers: Topic-specific summaries: Individual analysis for each configured search query Source attribution: Complete citation with publication date, source, and URL Structured formatting: Consistent presentation optimized for quick scanning Professional analysis: AI-generated insights maintaining factual accuracy and business context Performance analytics Monitor system effectiveness through: Processing metrics: Track successful article extraction and analysis rates Content quality: Assess relevance and usefulness of delivered intelligence Team engagement: Monitor Discord channel activity and report utilization System reliability: Track execution success rates and error patterns Use cases Competitive intelligence Market monitoring: Track competitor announcements, product launches, and strategic moves Industry trends: Identify emerging technologies, regulatory changes, and market shifts Partnership tracking: Monitor alliance formations, acquisitions, and strategic partnerships Leadership changes: Track executive movements and organizational restructuring Strategic planning support Market research: Continuous intelligence gathering for strategic decision-making Risk assessment: Early warning system for industry disruptions and regulatory changes Opportunity identification: Spot emerging markets, technologies, and business opportunities Brand monitoring: Track industry perception and competitive positioning Team collaboration enhancement Knowledge sharing: Centralized distribution of relevant industry intelligence Discussion facilitation: Provide common information baseline for strategic discussions Decision support: Deliver timely intelligence for business planning and strategy sessions Competitive awareness: Keep teams informed about competitive landscape changes Workflow limitations Language dependency: Currently optimized for French analysis output (easily customizable) Processing capacity: Limited to 3 articles per query (configurable based on API limits) Platform specificity: Configured for Discord delivery (adaptable to other platforms) Scheduling constraints: Fixed weekly schedule (customizable via cron expressions) Content access: Dependent on article accessibility and website compatibility with Firecrawl API dependencies: Requires active subscriptions and proper rate limit management for all integrated services