Gmail and Google Docs integration

Social Media Content Publishing Factory for Streamlined Content Creation Across Platforms Who is this for? This workflow is designed for content creators, social media managers, and marketing teams who need to efficiently create and publish content across multiple social media platforms. It's perfect for businesses looking to maintain a consistent presence across X (Twitter), Instagram, Facebook, LinkedIn, Threads, and YouTube Shorts without spending hours crafting platform-specific content manually. What problem is this workflow solving? Creating tailored content for different social media platforms is time-consuming and requires understanding each platform's unique requirements and audience expectations. This workflow solves the challenge of: Maintaining consistent messaging across platforms while respecting platform-specific formats Generating optimized content that follows best practices for each platform Creating accompanying visuals without graphic design skills Streamlining the approval process before publishing Reducing the time spent on repetitive content creation tasks What this workflow does This automated content factory takes your content idea and transforms it into platform-optimized posts for all major social media channels. The workflow: Accepts your content idea or topic through a chat interface Leverages AI to generate tailored content for each platform (X/Twitter, Instagram, Facebook, LinkedIn, Threads, YouTube Shorts) Creates appropriate images using AI image generation Sends content for approval via email before publishing Publishes approved content to selected platforms Maintains chat memory to improve future content generation Setup Connect your social media platform credentials (X/Twitter, Instagram, Facebook, LinkedIn) Set up your email account for the approval process Configure your OpenAI API key for AI content generation Update the image generation service credentials (Pollinations.ai is used by default) Customize the system prompts and schemas in the Google Docs nodes with your brand voice and content requirements How to customize this workflow to your needs Modify the system prompts in the Google Docs nodes to match your brand voice and content strategy Adjust the social media schemas to include specific fields relevant to your content Update the approval process to include additional stakeholders if needed Add or remove social media platforms based on your marketing strategy Customize the image generation prompts to better match your visual branding Integrate with your existing content calendar or CRM systems This workflow eliminates the need to manually craft different versions of the same content for each platform, saving hours of work while ensuring your social media presence remains consistent and optimized for maximum engagement.

Empower Your AI Chatbot with Long-Term Memory and Dynamic Tool Routing This n8n workflow equips your AI agent with long-term memory and a dynamic tools router, enabling it to provide intelligent, context-aware responses while managing tasks across multiple tools. By combining persistent memory and modular task routing, this workflow makes your AI smarter, more efficient, and highly adaptable. 👥 Who Is This For? AI Developers & Automation Enthusiasts: Integrate advanced AI features like long-term memory and task routing without coding expertise. Businesses & Teams: Automate tasks while maintaining personalized, context-aware interactions. Customer Support Teams: Improve user experience with chatbots that remember past interactions. Marketers & Content Creators: Streamline communication across platforms like Gmail and Telegram. AI Researchers: Experiment with persistent memory and multi-tool integration. 🚀 What Problem Does This Solve? This workflow simplifies the creation of intelligent AI systems that retain memory, manage tasks dynamically, and automate notifications across tools like Gmail and Telegram—saving time and improving efficiency. 🛠️ What This Workflow Does Save & Retrieve Memories**: Uses Google Docs for long-term storage to recall past interactions or user preferences. Dynamic Task Routing**: Routes tasks to the right tools (e.g., saving/retrieving memories or sending notifications). AI-Powered Context Understanding**: Combines OpenAI GPT-based short-term memory with long-term memory for smarter responses. Multi-Channel Notifications**: Sends updates via Gmail or Telegram. 🔧 Setup API Credentials: Connect to OpenAI (AI processing), Google Docs (memory storage), Gmail/Telegram (notifications). Customize Parameters: Adjust the AI agent's system message for your use case. Define task-routing rules in the tools router node. Test & Deploy: Verify memory saving/retrieval, task routing, and notification delivery. 💡 How to Customize Modify the system message in the OpenAI node to tailor your agent’s behavior. Add or adjust routing rules for additional tools. Update notification settings to match your communication preferences.

Transcript Evalu8r – AI-Powered Transcribing and Transcript Analysis Workflow Overview Transcript Evalu8r is an AI-powered transcript analysis workflow that automates the processing, visualization, and evaluation of transcribed conversations. This n8n workflow template is designed to help users quickly analyze sentiment, extract topics and intents, generate key insights, and enhance transcript navigation. It is ideal for customer service teams, legal professionals, researchers, content creators, and businesses seeking actionable intelligence from recorded conversations. Key Features 🔹 Automated Transcript Processing Audio-to-Text Conversion** – Upload an audio file and generate transcripts. File Upload Management** – Track file uploads with real-time progress indicators. Transcript Selection** – Browse and select previously analyzed transcripts from a dropdown. Download Transcripts* – Export transcripts in various formats (Google Docs and JSON*). Error Handling** – Detects and alerts users about upload or processing failures. 🔹 Advanced UI Components Interactive Transcript Viewer** – Displays full transcripts with: Timestamps and speaker identification. Clickable words for easy navigation. Auto-scrolling to highlight the active portion of the transcript. Key Points & Action Items Summary** – AI extracts: Critical insights from conversations. Actionable follow-ups detected in the discussion. Speaker Labeling* – Dynamically assigns real speaker names* instead of generic placeholders (e.g., "Speaker 1"). Collapsible Sections* – Enables users to expand/collapse* transcript details, key insights, and analysis sections. 🔹 AI-Powered Conversation Analysis Sentiment Analysis & Visualization** Dynamic sentiment graph tracks emotional shifts. Color-coded speaker sentiment tracking: 🔵 Positive ⚫ Neutral 🔴 Negative Time-based sentiment tracking – Shows sentiment fluctuations across the conversation. Topic & Intent Recognition** Automated Topic Extraction – Identifies key themes discussed. Hierarchical Topic Organization – Groups related topics for structured insights. Intent Classification – Recognizes whether statements reflect: Questioning Commands Decision-making Information seeking Confidence Scoring – Displays confidence levels for topic and intent detection. Speaker Contribution Metrics** Talk-time percentages per speaker. Interruption detection – Highlights moments where speakers cut each other off. Word Frequency Analysis – Identifies commonly used terms and phrases. 🔹 Seamless Workflow Automation API Integration* – Connects with transcription engines like OpenAI Whisper, AWS Transcribe, and Deepgram*. Webhook Support** – Automates workflows when new transcripts are available. Batch Processing* – Handles multiple transcript analyses* simultaneously. Export & Reporting** – Sends insights to Google Sheets, Notion, Airtable, or Slack. How It Works Upload an audio file or select a pre-existing transcript. Transcript Processing: Speech-to-text conversion (if required). AI-driven sentiment, topic, and intent analysis. Visualizations & Insights: Review sentiment charts, speaker contributions, and key topics. Extract action items and critical takeaways. Download results or trigger automated follow-ups. Use Cases ✅ Customer Support Review – Detect customer concerns and analyze sentiment trends. ✅ Podcast & Video Content Analysis – Summarize episodes and extract key themes. ✅ Sales Call Insights – Identify common objections and customer pain points. ✅ Market Research – Extract trends from focus groups and discussions. ✅ Legal Compliance Monitoring – Track policy violations in recorded conversations. Setup Instructions Import the Transcript Evalu8r workflow into your n8n instance. Connect DeepGram Speech to Text API. Configure workflow parameters (sentiment thresholds, topic extraction settings). Run the workflow to analyze and visualize transcript data. Review insights and export as needed. Why Use Transcript Evalu8r? 🚀 Automate tedious transcript analysis 💡 Unlock hidden insights in conversations 📊 Visualize conversations with interactive sentiment tracking ⚡ Boost efficiency with AI-powered automation 🔗 Seamlessly integrate with your existing workflows Requirements n8n instance** (cloud or self-hosted) API key for DeegGram API

This n8n workflow demonstrates how to automate oftern time-consuming form filling tasks in the early stages of the tendering process; the Request for Proposal document or "RFP". It does this by utilising a company's knowledgebase to generating question-and-answer pairs using Large Language Models. How it works A buyer's RFP is submitted to the workflow as a digital document that can be parsed. Our first AI agent scans and extracts all questions from the document into list form. The supplier sets up an OpenAI assistant prior loaded with company brand, marketing and technical documents. The workflow loops through each of the buyer's questions and poses these to the OpenAI assistant. The assistant's answers are captured until all questions are satisified and are then exported into a new document for review. A sales team member is then able to use this document to respond quickly to the RFP before their competitors. Example Webhook Request curl --location 'https://<n8n_webhook_url>' \ --form 'id="RFP001"' \ --form 'title="BlueChip Travel and StarBus Web Services"' \ --form 'reply_to="[email protected]"' \ --form 'data=@"k9pnbALxX/RFP Questionnaire.pdf"' Requirements An OpenAI account to use AI services. Customising the workflow OpenAI assistants is only one approach to hosting a company knowledgebase for AI to use. Exploring different solutions such as building your own RAG-powered database can sometimes yield better results in terms of control of how the data is managed and cost.