LinkedIn content factory: Auto-generate posts with GPT-5, DALL·E & Google Sheets
Overview Tired of cookie-cutter “AI LinkedIn post generators”? This workflow goes beyond just text generation — it orchestrates the entire lifecycle of a LinkedIn post. From idea capture to deduplication, from GPT-powered drafting to automatic image generation and link storage, it creates ready-to-publish posts while keeping your content unique and audit-friendly. What does this workflow do? This workflow: Captures Ideas & Briefs – Inputs are logged in Google Sheets with audience, goals, and angles. Deduplicates Smartly – Avoids repeating hooks or ideas with fuzzy GPT-based dedupe + GSheet logs. Generates Posts – GPT (OpenAI) drafts sharp LinkedIn-ready posts based on your brief. Creates Images – Post hook + body is sent to an Image Gen model (DALL·E / SDXL) → PNG asset. Stores & Links – Final text + image uploaded to Google Drive with shareable links. Audit Trail – GSheets keeps full history: raw idea, draft, final post, assets, notes. Why is this useful? Most “AI post generators” just spit out text. This workflow builds a real publishing pipeline: 🔄 No duplicates → keeps posts fresh & original. 🖼 Images included → auto-generated visuals increase engagement on LinkedIn. 📊 Audit-ready → every post has a traceable log in Sheets. ⚡ Fast iteration → from half-baked thought → polished post in minutes. Tools used n8n (Orchestrator): Automates triggers, merges, retries, and Google connectors. OpenAI (LLM): Idea generation, drafting, fuzzy dedupe, and voice conformity. Google Sheets: Source of truth — stores ideas, dedupe logs, audit trail. Google Drive: Stores rendered images and shares links for publishing. Image Generation (DALL·E / SDXL): Creates header graphics from hook + body. Who is this for? 🧑💻 Product Managers / Founders who want to post consistently but don’t have time. 🎨 Creators who want to add unique visuals without hiring a designer. ⚙️ n8n Builders who want to see how AI + automation + storage can be stitched into one pipeline. Workflow Highlights ✅ Full content pipeline (ideas → images → final copy). ✅ GPT-based fuzzy dedupe to avoid repetition. ✅ Auto-generated images for higher engagement. ✅ Clean logs in Google Sheets for future reuse & audits. ✅ Ready-to-publish LinkedIn post in minutes.
By NishantGenerate event speaker recommendations with Claude AI and Google Sheets
Simplify event planning with this automated n8n workflow. Triggered by incoming requests, it fetches speaker and audience data from Google Sheets, analyzes profiles and preferences, and generates optimized session recommendations. The workflow delivers formatted voice responses and updates tracking data, ensuring organizers receive real-time, tailored suggestions. 🎙️📊 Key Features Real-time analysis of speaker and audience data for personalized recommendations. Generates optimized session lineups based on profiles and preferences. Delivers responses via voice agent for a seamless experience. Logs maintain a detailed recommendation history in Google Sheets. Workflow Process The Webhook Trigger node initiates the workflow upon receiving voice agent or external system requests. Parse Voice Request processes incoming voice data into actionable parameters. Fetch Database retrieves speaker ratings, past sessions, and audience ratings from Google Sheets. Calculate & Analyze combines voice request data with speaker profiles and audience insights for comprehensive matching. AI Optimization Engine analyzes speaker-audience fit and recommends optimal session lineups. Format Recommendations structures the recommendations for voice agent response. Voice Agent Response returns formatted recommendations to the user with natural language summary and structured data. Update Tracking Sheet saves recommendation history and analytics to Google Sheets. If errors occur, the Check for Errors node branches to: Format Error Response prepares an error message. Send Error Response delivers the error notification. Setup Instructions Import the workflow into n8n and configure Google Sheets OAuth2 for data access. Set up the Webhook Trigger with your voice agent or external system's API credentials. Configure the AI Optimization Engine node with a suitable language model (e.g., Anthropic Chat Model). Test the workflow by sending sample voice requests and verifying recommendations. Adjust analysis parameters as needed for specific event requirements. Prerequisites Google Sheets OAuth2 credentials Voice agent API or integration service AI/LLM service for optimization (e.g., Anthropic) Structured speaker and audience data in a Google Sheet Google Sheet Structure: Create a sheet with columns: Speaker Name Rating Past Sessions Audience Rating Preferences Updated At Modification Options Customize the Calculate & Analyze node to include additional matching criteria (e.g., topic expertise). Adjust the AI Optimization Engine to prioritize specific session formats or durations. Modify voice response templates in the Voice Agent Response node with branded phrasing. Integrate with event management tools (e.g., Eventbrite) for live data feeds. Set custom error handling rules in the Check for Errors node. Discover more workflows – Get in touch with us
By Oneclick AI Squad