Workflow Templates

Description This n8n workflow automates the entire process of creating and publishing AI-generated videos, triggered by a simple message from a Telegram bot (YTAdmin). It transforms a text prompt into a structured video with scenes, visuals, and voiceover, stores assets in MongoDB, renders the final output using Creatomate, and uploads the video to YouTube. Throughout the process, YTAdmin receives real-time updates on the workflow’s progress. This is ideal for content creators, marketers, or businesses looking to scale video production using automation and AI. You can see a video demonstrating this template in action here: https://www.youtube.com/watch?v=EjI-ChpJ4xA&t=200s How it Works Trigger: Message from YTAdmin (Telegram Bot) The flow starts when YTAdmin sends a content prompt. Generate Structured Content A Mistral language model processes the input and outputs structured content, typically broken into scenes. Split & Process Content into Scenes The content is split into categorized parts for scene generation. Generate Media Assets For each scene: Images: Generated using OpenAI’s image model. Voiceovers: Created using OpenAI’s text-to-speech. Audio files are encoded and stored in MongoDB. Scene Composition Assets are grouped into coherent scenes. Render with Creatomate A complete payload is generated and sent to the Creatomate rendering API to produce the video. Progress messages are sent to YTAdmin. The flow pauses briefly to avoid rate limits. Render Callback Once Creatomate completes rendering, it sends a callback to the flow. If the render fails, an error message is sent to YTAdmin. If the render succeeds, the flow proceeds to post-processing. Generate Title & Description A second Mistral prompt generates a compelling title and description for YouTube. Upload to YouTube The rendered video is retrieved from Creatomate. It’s uploaded to YouTube with the AI-generated metadata. Final Update A success message is sent to YTAdmin, confirming upload completion. Set Up Steps (Approx. 10–15 Minutes)Step 1: Set Up YTAdmin Bot Create a Telegram bot via BotFather and get your API token. Add this token in n8n's Telegram credentials and link to the "Receive Message from YTAdmin" trigger. Step 2: Connect Your AI Providers Mistral: Add your API key under HTTP Request or AI Model nodes. OpenAI: Create an account at platform.openai.com and obtain an API key. Use it for both image generation and voiceover synthesis. Step 3: Configure Audio File Storage with MongoDB via Custom API Receives the Base64 encoded audio data sent in the request body. Connects to the configured MongoDB instance (connection details are managed securely within the API- code below). Uses the MongoDB driver and GridFS to store the audio data. Returns the unique _id (ObjectId) of the stored file in GridFS as a response. This _id is crucial as it will be used in subsequent steps to generate the download URL for the audio file. My API code can be found here for reference: https://github.com/nanabrownsnr/YTAutomation.git Step 4: Set Up Creatomate Create a Creatomate account, define your video templates, and retrieve your API key. Configure the HTTP request node to match your Creatomate payload requirements. Step 5: Connect YouTube In n8n, add OAuth2 credentials for your YouTube account. Make sure your Google Cloud project has YouTube Data API enabled. Step 6: Deploy and Test Send a message to YTAdmin and monitor the flow in n8n. Verify that content is generated, media is created, and the final video is rendered and uploaded. Customization Options Change the AI Prompts Modify the generation prompts to adjust tone, voice, or content type (e.g., news recaps, product videos, educational summaries). Switch Messaging Platform Replace Telegram (YTAdmin) with Slack, Discord, or WhatsApp by swapping out the trigger and response nodes. Add Subtitles or Effects Integrate Whisper or another speech-to-text tool to generate subtitles. Add overlay or transition effects in the Creatomate video payload. Use Local File Storage Instead of MongoDB Swap out MongoDB upload http nodes with filesystem or S3-compatible storage. Repurpose for Other Platforms Swap YouTube upload with TikTok, Instagram, or Vimeo endpoints for broader publishing. **Need Help or Want to Customize This Workflow? If you'd like assistance setting this up or adapting it for a different use case, feel free to reach out to me at nanabrownsnr@gmail.com. I'm happy to help!**

The workflow first populates a Pinecone index with vectors from a Bitcoin whitepaper. Then, it waits for a manual chat message. When received, the chat message is turned into a vector and compared to the vectors in Pinecone. The most similar vectors are retrieved and passed to OpenAI for generating a chat response. Note that to use this template, you need to be on n8n version 1.19.4 or later.

Telegram Rich Output Helper Workflow Who is this for? Builders of Telegram chat‑bots, AI assistants, or notification services who already run n8n and need to convert long, mixed‑media answers from an LLM (or any upstream source) into Telegram‑friendly messages. Prerequisites A Telegram bot created with @BotFather. The bot’s HTTP API token saved as a Telegram API credential in n8n. n8n ≥ 1.0 with the built‑in Telegram node still installed. A parent workflow that calls this one via Execute Workflow and passes: chatId — the destination chat ID (integer). output — a string that can contain plain text and HTTP links to images, audio, or video. What the workflow does Extract Links – A JavaScript Code node scans output, deduplicates URLs, and classifies each by file extension. Link Path If no media links exist, the text path is used. Otherwise, each link is routed through a Switch node that triggers the correct Telegram call (sendPhoto, sendAudio, sendVideo) so users get inline previews or players. Text Path An IF node checks whether the remaining text exceeds Telegram’s 1 000‑character limit. When it does, a Code node slices the text at line boundaries; SplitInBatches then sends the chunks sequentially so nothing is lost. All branches converge, keeping the whole exchange inside one execution. Customisation tips Adjust the character limit** – edit the first expression in “If text too long”. Filter/enrich links** – extend the regex or add MIME checks before dispatch. Captions & keyboards** – populate additionalFields in the three “Send back” nodes. Throughput vs. order* – tweak the batch size in both *SplitInBatches** nodes. With this template in place, your users receive the complete message, playable media, and zero manual formatting – all within Telegram’s API limits.

iMessage AI-Powered Smart Calorie Tracker > 📌 What it looks like in use: > This image shows a visual of the workflow in action. Use it for reference when replicating or customizing the template. This n8n template transforms a user-submitted food photo into a detailed, friendly, AI-generated nutritional report — sent back seamlessly as a chat message. It combines OpenAI's visual reasoning, Postgres-based memory, and real-time messaging with Blooio to create a hands-free calorie and nutrition tracker. 🧠 Use Cases Auto-analyze meals based on user-uploaded images. Daily/weekly/monthly diet summaries with no manual input. Virtual food journaling integrated into messaging apps. Nutrition companion for healthcare, fitness, and wellness apps. 📌 Good to Know ⚠️ This uses GPT-4 with image capabilities, which may incur higher usage costs depending on your OpenAI pricing tier. Review OpenAI’s pricing. The model uses visual reasoning and estimation to determine nutritional info — results are estimates and should not replace medical advice. Blooio is used for sending/receiving messages. You will need a valid API key and project set up with webhook delivery. A Postgres database is required for long-term memory (optional but recommended). You can use any memory node with it. ⚙️ How It Works Webhook Trigger The workflow begins when a message is received via Blooio. This webhook listens for user-submitted content, including any image attachments. Image Validation and Extraction A conditional check verifies the presence of attachments. If images are found, their URLs are extracted using a Code node and prepared for processing. Image Analysis via AI Agent Images are passed to an OpenAI-based agent using a custom system prompt that: Identifies the meal, Estimates portion sizes, Calculates calories, macros, fiber, sugar, and sodium, Scores the meal with a health and confidence rating, Responds in a chatty, human-like summary format. Memory Integration A Postgres memory node stores user interactions for recall and contextual continuity, allowing day/week/month reports to be generated based on cumulative messages. Response Aggregation & Summary Messages are aggregated and summarized by a second AI agent into a single concise message to be sent back to the user via Blooio. Message Dispatch The final message is posted back to the originating conversation using the Blooio Send Message API. 🚀 How to Use The included webhook can be triggered manually or programmatically by linking Blooio to a frontend chat UI. You can test the flow using a manual POST request containing mock Blooio payloads. Want to use a different messages app? Replace the Blooio nodes with your preferred messaging API (e.g., Twilio, Slack, Telegram). ✅ Requirements OpenAI API access with GPT-4 Vision or equivalent multimodal support. Blooio account with access to incoming and outgoing message APIs. Optional: Postgres DB (e.g., via Neon) for tracking message context over time. 🛠️ Customising This Workflow Prompt Tuning** Tailor the system prompt in the AI Agent node to fit specific diets (e.g., keto, diabetic), age groups, or regionally-specific foods. Analytics Dashboards** Hook up your Postgres memory to a data visualization tool for nutritional trends over time. Multilingual Support** Adjust the response prompt to translate messages into other languages or regional dialects. Image Preprocessing** Insert a preprocessing node before sending images to the model to resize, crop, or enhance clarity for better results.

Chat with thing This n8n template lets you build a smart AI chat assistant that can handle text, images, and PDFs — using OpenAI's GPT-4o multimodal model. It supports dynamic conversations and file analysis, making it great for AI-driven support bots, personal assistants, or embedded chat widgets. 🔍 How it Works The chat trigger node kicks off a session using n8n's hosted chat UI. Users can send text or upload images or PDFs — the workflow checks if a file was included. If an image is uploaded, the file is converted to base64 and analyzed using GPT-4o's vision capabilities. GPT-4o generates a natural language description of the image and responds to the user's question in context. A memory buffer keeps track of the conversation thread, so follow-up questions are handled intelligently. OpenAI’s chat model handles both text-only and mixed media input seamlessly. 🧪 How to Use You can embed this in a website or use it with your own webhook/chat interface. The logic is modular — just swap out the chatTrigger node for another input (e.g. form or API). To use with documents, you can modify the logic to pass PDF content to GPT-4 directly. You can extend it with action nodes, e.g. saving results to Notion, Airtable, or sending replies via email or Slack. 🔐 Requirements Your OpenAI GPT-4o API key Set File Upload on the chat 🚀 Use Cases PDF explainer bot Internal knowledge chat with media support Personal assistant for mixed content

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Automated Data-Driven UX Persona Creation – Try It Out!* About You can create personas based on your website, region, and industry. Unlike traditional persona creation, this process uses reliable data sources and can estimate market size for each persona. UX personas have a wide range of applications: use them to better define your target users during product development, align your team around user goals during workshops, or inspire new features and ideas by deeply understanding user needs and behaviors. How It Works The flow is triggered via a web form Perplexity analyzes the market and creates a data foundation for the personas An AI agent transforms the data into detailed persona descriptions and publishes them in a Google Doc We use DALL·E 3 to generate an image for each persona, which is saved to your Google Drive How To Use Import the package into your N8N interface Set up the credentials in each node to access the necessary tools Wait for the process to run (it takes just a few seconds) Check the final output in Google Docs and your Google Drive Requirements Perplexity for research OpenAI for LLM and Image generation Google Doc Google Drive to upload images

This n8n workflow implements a version of the Adaptive Retrieval-Augmented Generation (RAG) framework. It recognizes that the best way to retrieve information often depends on the type of question asked. Instead of a one-size-fits-all approach, this workflow adapts its strategy based on the user's query intent. 🌟 How it Works Receive Query: Takes a user query as input (along with context like a chat session ID and Vector Store collection ID if used as sub-workflow). Classify Query: First, the workflow classifies the query into a predefined category. This template uses four examples: Factual: For specific facts. Analytical: For deeper explanations or comparisons. Opinion: For subjective viewpoints. Contextual: For questions relying on specific background. Select & Adapt Strategy: Based on the classification, it selects a corresponding strategy to prepare for information retrieval. The example strategies aim to: Factual: Refine the query for precision. Analytical: Break the query into sub-questions for broad coverage. Opinion: Identify different viewpoints to look for. Contextual: Incorporate implied or user-specific context. Retrieve Info: Uses the output of the selected strategy to search the specified knowledge base (Qdrant vector store - change as needed) for relevant documents. Generate Response: Constructs a response using the retrieved documents, guided by a prompt tailored to the original query type. By adapting the retrieval strategy, this workflow aims to provide more relevant results tailored to the user's intent. ⚙️ Usage & Flexibility Sub-Workflow:** Designed to be called from other n8n workflows, passing user_query, chat_memory_key, and vector_store_id as inputs. Chat Testing:** Can also be triggered directly via the n8n Chat interface for easy testing and interaction. Customizable Framework:** The query categories (Factual, Analytical, etc.) and the associated retrieval strategies are examples. You can modify or replace them entirely to fit your specific domain or requirements. 🛠️ Requirements Credentials:** You will need API credentials configured in your n8n instance for: Google Gemini (AI Models) Qdrant (Vector Store)

AI-Powered Viral Video Factory 🚀 This workflow automates the entire process of creating short, cinematic, fact-based videos ready for social media. It takes a single concept, generates a script and visuals, creates video clips, adds a voiceover, and assembles a final video, which is then uploaded directly to your Google Drive. It's perfect for content creators and marketing agencies looking to scale video production with minimal manual effort. How It Works 🎬 Generate a Viral Idea 💡: The workflow begins with the Create New Idea1 (OpenAI) node, which generates a viral-ready video concept, including a punchy title, hashtags, and a brief description based on a core theme (e.g., space, black holes). This idea is then logged in a Google Sheet. Create a Cinematic Script & Voiceover 📜: An OpenAI node (Generating scenes1) creates a detailed 12-scene script, outlining the visuals for a 60-second video. The script text for all scenes is combined and prepared for voiceover generation by another OpenAI node (Generate Voiceover). Generate Scene-by-Scene Visuals ✨: The workflow loops through each of the 12 scenes to create an animated clip: Image Generation: An HTTP Request node sends the scene's prompt to the fal-ai/flux model to create a photorealistic still image. Animation Prompting: The Video Prompts1 (OpenAI Vision) node analyzes the generated image and creates a new, specific prompt to animate it cinematically. Image-to-Video: Another HTTP Request node uses the fal-ai/kling-video model to turn the still image into a 5-second animated video clip based on the new animation prompt. Assemble the Final Video 🎞️: Stitch Clips: Once all 12 clips are generated, the Merge Clips node uses the fal-ai/ffmpeg-api to concatenate them into a single, seamless 60-second video. Add Audio: The Combine Voice and Video node then layers the AI-generated voiceover onto the stitched video. Deliver to Google Drive 📂: Finally, the completed video is converted from a URL to a file and automatically uploaded to your specified Google Drive folder for easy access and publishing. Key Technologies Used n8n**: For orchestrating the entire automated workflow. OpenAI (GPT-4.1 & GPT-4o)**: For idea generation, scriptwriting, voiceover, and vision analysis. Fal.ai**: For high-performance, API-based image generation (Flux), video animation (Kling), and video processing (FFMPEG API). Google Drive & Sheets**: For logging ideas and storing the final video output. Setup Instructions Add Credentials: In n8n, add your OpenAI API key. Connect your Google account for Google Sheets and Google Drive access. You will need a Fal.ai API Key. Configure Fal.ai API Key: Crucially, you must replace the placeholder API key in all HTTP Request nodes that call the fal.run URL. Find the Authorization header in each of these nodes and replace the existing key with your own Key YOUR_FAL_AI_KEY_HERE. Nodes to update: Create Images1, Get Images1, Create Video1, Get Video1, Merge Clips, Get Final video, Combine Voice and Video. Configure OpenAI Nodes: Select each OpenAI node (e.g., Create New Idea1, Generating scenes1) and choose your OpenAI credential. You can customize the main prompt in the Create New Idea1 node to change the theme of the videos you want to generate. Configure Google Sheets & Drive: In the Organise idea, caption etc1 node, select your Google Sheets credential and specify the Spreadsheet and Sheet ID you want to use for logging ideas. In the Upload file to drive node, select your Google Drive credential and choose the destination folder for your final videos.

What if AI didn't just write content—but actually thought about how to write it? This n8n workflow revolutionizes content creation by deploying multiple specialized AI agents that handle every aspect of blog writing—from research to publication-ready posts. The breakthrough? AI that creates its own prompts, dynamically adapting to different topics and business needs without constant human intervention. Plus, it doesn’t stop at writing — the system also scans all your website URLs, finds the best internal matches for each topic, and inserts SEO-optimized anchor links automatically. 🤖 The Self-Thinking Content System 🧠 Cognitive Content Creation: Unlike basic AI writing tools, this system thinks through the entire content strategy 🔄 Fully Automated Workflow: Set it up once and produce complete, SEO-optimized blog posts with minimal oversight 🎯 Industry-Adaptive Intelligence: Automatically tailors content approach based on your specific niche and audience 📊 Data-Driven Decisions: AI agents analyze search intent and competitive landscape before writing a single word ⚡ Modular AI Architecture: Specialized agents handle different stages of content creation for superior quality ⚙️ Workflow Breakdown 1️⃣ Keyword Research & Content Ideation Identifies high-value topics with traffic potential Analyzes search intent to match user expectations Maps content opportunities your competitors are missing 2️⃣ Dynamic Prompt Generation Revolutionary feature: AI creates its own writing instructions Customizes prompts based on topic complexity and audience needs Eliminates the need for prompt engineering expertise 3️⃣ Modular AI Writing Process Research Agent gathers comprehensive topic information Structure Agent creates logical, engaging outlines Writing Agent produces in-depth, authoritative content Each agent specializes in its role for maximum quality 4️⃣ Final Refinements Editing Agent polishes grammar, tone, and readability SEO Agent optimizes for search engines without sacrificing quality Fact-checking protocols ensure accuracy and credibility 5️⃣ Publication-Ready Output Delivers complete, formatted blog posts ready for immediate use Includes meta descriptions, title suggestions, and header structure Automatically organizes content in your preferred format 6️⃣ Smart Internal Linking Collects all URLs from your website automatically Identifies the best matching pages for each topic Inserts optimized anchor words with hyperlinks for SEO boost 🎯 Perfect For: Content Marketers who need consistent, high-quality output Business Owners looking to maintain an authoritative blog without the time investment Digital Agencies scaling content creation for multiple clients SEO Professionals focusing on quality content that ranks Solopreneurs who can't afford to spend days writing blog posts 📦 What's Included: ⚙️ Complete n8n Workflow: Pre-configured with all necessary nodes and connections 🌐 Internal Linking Function: Automatically matches your content with existing URLs and inserts SEO-friendly anchor words 🔌 AI Agent Configuration: Ready-to-use AI agent settings for each content creation stage 📊 Airtable Database Structure: Pre-built tables and fields specifically designed for content writing. Requires minimal human editing 🚀 Getting Started: Import the provided workflow into your n8n instance Configure your preferred AI provider credentials Set your content parameters and business information Trigger the workflow and watch as complete blog posts are generated Use immediately or make minor adjustments to match your style perfectly ⚡ Technical Requirements: Access to n8n (self-hosted or cloud) OpenAI API account (or alternative AI provider) Basic familiarity with workflow automation Optional: WordPress, Shopify or similar CMS for direct publishing integration This template is based on a video of Wayne Eagle 💡 You can also connect this workflow with my SEO Keyword Research Automation using DataForSEO and Airtable and my SEO-Based Keyword Categorization & Clustering Strategy Workflow with Airtable, both available on my profile, to build a fully automated, end-to-end SEO content machine. Stop spending countless hours writing blog posts or wasting money on mediocre content writers. Upgrade to an AI system that thinks for itself and produces truly exceptional content at scale.

Auto-generate SEO blog posts from Google Trends to WordPress This workflow provides complete blog automation from trend detection to publication. It eliminates manual content research, writing, and publishing by using AI agents, Google Trends analysis, and WordPress integration for hands-free blog management that scales your content strategy. Overview This workflow automatically handles the entire blog creation pipeline using advanced AI coordination and SEO optimization. It manages trend discovery, topic selection, content research, writing, HTML formatting, and WordPress publishing with built-in internal linking and comprehensive performance tracking. Core Function: Autonomous blog generation that transforms trending Google searches into SEO-optimized WordPress posts with zero manual intervention, maintaining consistent publishing schedules while capturing emerging traffic opportunities. Key Capabilities Automated trend detection** - Discovers emerging topics using Google Trends via SerpAPI before they become saturated AI-powered topic selection** - Intelligent evaluation of search volume, user intent, and competition levels Content research automation** - Perplexity API integration for reliable source gathering and fact verification SEO-optimized writing** - AI agents create keyword-focused, engaging content with proper structure Internal linking intelligence** - Automatic cross-linking with existing posts for enhanced SEO authority WordPress publishing** - Direct publication with semantic HTML formatting and complete metadata Performance tracking** - Comprehensive logging in Google Sheets for analytics and optimization Tools Used n8n**: Workflow orchestration platform managing the entire automation pipeline SerpAPI**: Google Trends data access and trend analysis for keyword discovery Perplexity API**: Reliable content research and fact-checking for authoritative sources OpenRouter**: Gateway to multiple AI models for specialized content generation tasks WordPress API**: Direct publishing integration with full metadata and formatting control Google Sheets**: Performance logging, internal link database, and analytics tracking Built-in SEO Logic**: Automated slug generation, meta descriptions, and HTML optimization How to Install Import the Workflow: Download the JSON file and import into your n8n instance Configure API Access: Set up SerpAPI, Perplexity, and OpenRouter credentials in n8n WordPress Integration: Add WordPress site credentials and enable REST API access Google Sheets Setup: Create tracking spreadsheet using provided template structure Schedule Configuration: Set desired publication frequency (daily, weekly, or custom) Content Customization: Adjust AI prompts and SEO parameters for your niche Test Execution: Run manual test to verify all integrations work correctly Use Cases Content Marketing Automation**: Maintain consistent blog publishing without manual content creation SEO Traffic Capture**: Generate optimized posts targeting trending keywords before competition Authority Building**: Regular publication on emerging topics to establish thought leadership Organic Growth Strategy**: Systematic content creation that builds domain authority over time Content Calendar Management**: Automated scheduling eliminates manual planning and publishing Internal Link Building**: Systematic SEO improvement through intelligent cross-linking strategy Setup requirements SerpAPI account**: For Google Trends data access and trend monitoring capabilities Perplexity API**: Professional content research and reliable source verification OpenRouter account**: Access to GPT-4.1 and other advanced AI models for content generation WordPress site**: With REST API enabled and proper user permissions configured Google Sheets**: For comprehensive performance tracking and internal link database management Total setup time: 15-20 minutes once all API accounts are properly configured. How to customize Content Focus: Modify trend detection parameters and keyword filters to target your specific niche. Adjust topic selection criteria based on your content strategy and audience interests. Writing Style: Customize AI writing prompts to match your brand voice, adjust article length requirements, modify tone and complexity, or update HTML template structure for consistent formatting. SEO Strategy: Update internal linking logic for your site structure, modify meta description templates, adjust keyword density parameters, or customize slug generation patterns. Publishing Control: Change automation frequency, add human review checkpoints, integrate with social media platforms, or connect to email marketing systems for content distribution. Performance Optimization: Adjust Google Sheets tracking columns, modify trend analysis parameters, or integrate with analytics platforms for deeper insights. Google Sheets Template The workflow includes a pre-configured Google Sheets template for tracking: Publication dates and performance metrics Target keywords and search volume data Internal link mapping and SEO improvements Content performance analytics WordPress URLs and metadata tracking Template Structure: Date Published | Title | Slug | Target Keyword | WordPress URL | Internal Links Added | Traffic Data Was this helpful? Let me know! I truly hope this automated blog system helps scale your content strategy. Your feedback helps me create better automation resources for the community. Want to take content automation further? If you're looking to optimize your content strategy or need custom automation solutions: Advisory (Discovery Call): Have content goals but unsure how automation can help? Let's explore how AI-powered workflows can transform your content pipeline and drive organic growth. Schedule a Discovery Call Custom Content Automation: Need a tailored solution for your specific content workflow, CMS integration, or multi-platform publishing strategy? Let's build the perfect automation for your needs. Book Content Automation Consulting Stay Updated on Automation For more content automation strategies, AI workflow tips, and business automation insights: Follow me on LinkedIn #n8n #automation #wordpress #seo #contentmarketing #ai #blogging #googletrends #serpapi #perplexity #workflow #contentautomation #seooptimization #aiwriting #blogautomation #digitalmarketing #contentcreation #organicgrowth #inboundmarketing #productivity

Go beyond basic AI-generated text and create articles that are well-researched, comprehensive, and credible. This template automates an advanced content creation process that mimics a professional writing team: it plans, researches, and then writes. Instead of just giving an AI a topic, this workflow first uses an AI "planner" to break the topic down into logical sub-questions. Then, it deploys an AI "researcher" powered by Linkup to search the web for relevant insights and sources for each question. Finally, this complete, sourced research brief is handed to a powerful AI "writer" to compose a high-quality article, complete with hyperlinks back to the original sources. Who is this for? Content marketers & SEO specialists:** Scale the production of well-researched, link-rich articles that are built for authority and performance. Bloggers & thought leaders:** Quickly generate high-quality first drafts on any topic, complete with a list of sources for easy fact-checking and validation. Marketing agencies:** Dramatically improve your content turnaround time by automating the entire research and first-draft process for clients. What problem does this solve? Adds credibility with sources:** Solves one of the biggest challenges of AI content by automatically finding and preparing to include hyperlinks to the web sources used in the research, just as a human writer would. Ensures comprehensive coverage:** The AI-powered "topic breakdown" step prevents superficial content by creating a logical structure for the article and ensuring all key aspects of a topic are researched. Improves content quality and accuracy:** The "research-first" approach provides the final AI writer with a rich brief of specific, up-to-date information, leading to more detailed and factually grounded articles than a simple prompt ever could. Automates the entire writing workflow:** This isn't just an AI writer; it's an end-to-end system that automates the planning, research, and drafting process, saving you hours of manual work. How it works This workflow orchestrates a multi-step "Plan, Research, Write" process: Plan (Decomposition): You provide an article title and guidelines via the built-in form. An initial AI call acts as a "planner," breaking down the main topic into an array of logical sub-questions. Research (Web Search): The workflow then loops through each of these sub-questions. For each one, it uses Linkup to perform a targeted web search, gathering multiple relevant insights and their source URLs. Consolidate (Brief Creation): All the sourced insights from the research phase are compiled into a single, comprehensive research brief. Write (Final Generation): This complete, sourced brief is handed to a final, powerful AI writer (e.g., GPT-5). Its instructions are clear: write a high-quality article based only on the provided research and integrate the source links as hyperlinks where appropriate. Setup Connect your Linkup account: In the Query Linkup for insights (HTTP Request) node, add your Linkup API key. We recommend creating a "Generic Credential" of type "Bearer Token" for this. Linkup's free plan is very generous and includes credits for ~1000 searches per month. Connect your AI provider: Connect your AI provider (e.g., OpenAI) credentials to the two Language Model nodes. For cost-efficiency, we recommend a smaller, faster model for Generate research questions and a more powerful, creative model for Generate the AI output. Activate the workflow: Toggle the workflow to "Active" and use the built-in form to enter an article title and guidelines to generate your first draft! Taking it further Control your sources:* For more brand-aligned or niche content, you can restrict the web search to specific websites by adding site:example.com OR site:anothersite.com to the query in the *Query Linkup for insights** node. Automate publishing:* Connect the final *Article result* node to a *Webflow* or *WordPress** node to automatically create a draft post in your CMS. Generate content in bulk:* Replace the *Form Trigger* with an *Airtable* or *Google Sheet** trigger to automatically generate a whole batch of articles from your content calendar. Customize the writing style:* Tweak the system prompt in the final *Generate the AI output** node to match your brand's specific tone of voice, add SEO keywords, or include calls-to-action.

AI Editor-in-Chief: Trend Research to 3 Notion Blog Drafts This workflow acts as your personal "AI Editor-in-Chief," fully automating the process from trend research to content creation. It scrapes Google Search results and generates three distinct article drafts (with different angles) complete with AI-generated cover images, saving everything directly to Notion. 🎯 Target Audience Bloggers & Affiliate Marketers: Individuals who struggle with writer's block and want to maintain a consistent posting schedule. Content Marketers & Editors: Teams running owned media who need to efficiently generate high-volume article ideas and drafts based on trends. SEO Specialists: Professionals who need to quickly create content based on the latest search keywords. ⚙️ How it Works & Features This workflow automates the entire editorial process: Automated Research: Scrapes top Google Search results for a specific keyword (e.g., "2025 AI Tools") using Apify. Multi-Angle Planning: GPT-4o analyzes the research and brainstorms article concepts from 3 different perspectives (e.g., "Beginner's Guide," "Critical Review," "Business Use Case"). Writing & Visualizing: For each concept, the AI writes a full article body in Markdown and DALL-E 3 generates a matching cover image. CMS Entry: Automatically saves the Title, Body Text, and Cover Image URL into a Notion database as a draft. Notification: Sends a completion report with links to the created Notion pages via Slack. 🛠 Setup Instructions Import: Copy the workflow JSON and paste it into your n8n editor. Credentials: Set up credentials for the following nodes: Apify: Required for the Google Search Scraper actor. OpenAI: Required for GPT-4o and DALL-E 3. Notion: Connect your account to access your database. Slack: Connect your account for notifications. Configuration: Open the Workflow Configuration node and set your desired Search Keyword. Notion Setup: Create a database in Notion (with properties for Title, Content, etc.). Crucial Step: Go to the Notion database page menu ... > Connect to and select your n8n integration to grant permission. Select this database in the Save Article to Notion node. Slack Setup: In the Send Completion Notification to Slack node, specify the target channel name (e.g., general). 📦 Requirements n8n Version: v1.0 or higher (recommended). Apify Account: Access to the apify/google-search-scraper actor. OpenAI Account: API access to GPT-4o and DALL-E 3. Notion Account: A workspace with a database. Slack Account: A workspace for receiving notifications. 🔧 Customization Change Keywords: Simply update the searchKeyword value in the Workflow Configuration node to target any topic (e.g., "Keto Diet," "Tech Gadgets," "Investment Trends"). Adjust Angles: Modify the System Prompt in the AI Editorial Meeting node to change the persona or angles (e.g., "Pros & Cons," "Global Reaction," "Tutorial"). Change Destination: You can replace the Notion node with a WordPress node to draft articles directly into your CMS. Scheduling: Update the Schedule Trigger node to run daily, weekly, or on specific days as needed.