Qwen-Max: journal paper generation from title/abstract
Introduction Generates complete scientific papers from title and abstract using AI. Designed for researchers, automating literature search, content generation, and citation formatting. How It Works Extracts input, searches academic databases (CrossRef, Semantic Scholar, OpenAlex), merges sources, processes citations, generates AI sections (Introduction, Literature Review, Methodology, Results, Discussion, Conclusion), compiles document. Workflow Template Webhook → Extract Data → Search (CrossRef + Semantic Scholar + OpenAlex) → Merge Sources → Process References → Prepare Context → AI Generate (Introduction + Literature Review + Methodology + Results + Discussion + Conclusion via OpenAI) → Merge Sections → Compile Document Workflow Steps Input & Search: Webhook receives title/abstract; searches CrossRef, Semantic Scholar, OpenAlex; merges and processes references AI Generation: OpenAI generates six sections with in-text citations using retrieved references Assembly: Merges sections; compiles formatted document with reference list Setup Instructions Trigger & APIs: Configure webhook URL; add OpenAI API key; customize prompts Databases: Set up CrossRef, Semantic Scholar, OpenAlex API access; configure search parameters Prerequisites OpenAI API, CrossRef API, Semantic Scholar API, OpenAlex API, webhook platform, n8n instance Customization Adjust reference limits, modify prompts for research fields, add citation styles (APA/IEEE), integrate databases (PubMed, arXiv), customize outputs (DOCX/LaTeX/PDF) Benefits Automates paper drafting, comprehensive literature integration, proper citations
By Cheng Siong ChinMulti-channel AI appointment confirmation with GPT-4, ElevenLabs & Twilio
📆 Workflow: AI Appointment Booking Assistant ⚡ About the Creators This workflow was created by Varritech Technologies, a cutting-edge software agency that helps founders and operators go from idea to production 5× faster using AI. Based in New York City, we specialize in automating client-facing workflows like appointment setting, lead engagement, and support follow-ups. Need help adapting this flow for your business? Reach out at varritech.com. --- 🧠 What This Workflow Does This flow connects to varritech.com/booking and uses AI agents to intelligently manage the first stage of appointment scheduling — collecting user intent, formatting the data, confirming via calendar + email + SMS, and boosting follow-through with personalized voice messages. --- 🏗️ Architecture Overview The workflow is designed to maximize conversion and show-up rate by combining structured automation with human-style messaging: 🔗 Webhook Trigger — Receives booking form submissions 🧠 AI Agents — Format phone numbers & craft natural confirmation messages 📅 Google Calendar — Schedules the meeting with auto-generated Meet link 📧 Emails — Send branded confirmation to client + internal team 🎙️ ElevenLabs TTS — Turns a personalized message into audio ☁️ Cloudinary Upload — Hosts the voice clip for SMS sharing 📲 Twilio SMS — Sends a text with the appointment time + audio --- 📦 Node-by-Node Breakdown flowchart LR A[Webhook: Booking Submission] --> B[Function: Extract + Format Data] B --> C[Langchain Agent: Format Phone] C --> D[Postgres: Store Appointment] B --> E[Google Calendar: Create Event] B --> F[Gmail: Notify Internal Team] B --> G[Gmail: Confirm to Client] B --> H[Langchain Agent: Voice Message Script] H --> I[Function: Escape for JSON] I --> J[HTTP: ElevenLabs TTS] J --> K[Function: Rename to MP3] K --> L[HTTP: Cloudinary Upload] L --> M[Merge Data for Twilio] M --> N[Twilio: Send Confirmation Text] --- 🔍 Design Rationale & Best Practices AI Personalization Boosts Follow-Through Personalized messages and human-sounding voice notes significantly increase user engagement and trust. Multi-Channel Confirmation Email + calendar + SMS ensures the user receives the booking details via their preferred method. AI Agents for Edge Cases Agents are used for formatting and natural-language generation to make the system flexible and future-proof. Minimal Manual Input Required Clients simply fill out a form — the rest is handled with high-quality automation. Fully Extensible Swap in different voice APIs, CRMs, or calendar providers with minimal changes to the core logic.
By VarritechAutomatic re-engagement for inactive Shopify customers via Beex
Summary Re-engage your customers with your Shopify store through a personalized contact sequence. How it works The workflow is triggered by a Scheduler Trigger and immediately reviews your Shopify customers by retrieving their lastorderid. For customers with a non-null lastorderid, the workflow proceeds to fetch detailed order information from Shopify, including the order closing date and the products involved. Based on the order date, the workflow calculates the number of days the customer has been inactive. If this period exceeds a defined threshold (e.g., 30 days), the corresponding records are sent via API to Beex, where each customer enters a multi-step contact sequence that may include WhatsApp, email, and other channels. Example: "Customers can then expect to receive a limited-time discount coupon invitation as part of the reactivation strategy". How to set up Before importing the template, make sure to install the Beex node using the following package name: n8n-nodes-beex Configure your Shopify credentials according to your store’s settings. You will need to provide: Your store subdomain Your Access Token Your App Secret Key For Beex users with platform access (if you need a trial, please contact frank@beexcc.com), go to the main dashboard and navigate to: Platform Settings → API KEY & Callback There, you can retrieve your API key and insert it into the corresponding Beex node within n8n. Requirements You need accounts for: Beex (omnichannel contact platform) Shopify (E-commerce platform builder) You need in Beex (Node): Portfolio ID Sequence ID The above determines the sequence of contact that customers are subjected to. How to customize You can also change the threshold to define from what extent you consider that a client is inactive. You can configure a particular sequence in Beex to contact your inactive customers to insert them into the node.
By BeexAnalyze brand competitors using Decodo, Gemini, Telegram and Google Sheets
Analyze brand competitors using Decodo, Gemini, Telegram, and Google Sheets Sign up for Decodo — get better pricing here Who’s it for This workflow is built for content researchers, SEO teams, marketers, educators, and analysts who want to discover and analyze Brand competitor content at scale. It’s especially useful if you need structured insights from pages based on a search query, without manually opening or reviewing each result. How it works / What it does This workflow turns a simple keyword into structured, actionable insights. It starts when a user submits a query through a form. Decodo is used as the core technology to perform a Google search and return relevant organic results. Decodo retrieves the page content, which is cleaned and converted into plain text. An AI agent powered by Gemini analyzes the content to generate clear key points and key takeaways. The extracted insights, along with the source title and link, are saved to Google Sheets for easy review and analysis. A short summary is also sent to Telegram, making it easy to monitor results in real time. How to set up Add your Decodo API credentials. Connect your Google Gemini API credentials. Connect Google Sheets OAuth. Update the target Google Sheet and worksheet. Submit a keyword to start the analysis. Requirements Decodo API account Google Gemini API credentials Google Sheets OAuth credentials n8n self-hosted instance > This workflow uses Decodo community nodes and is intended for self-hosted n8n environments. How to customize the workflow Change the Decodo search query to target different topics or niches. Limit or batch results by adjusting the split and loop logic. Modify the AI prompt to extract different insights. Replace Google Sheets with another database or workspace tool. Add filters, alerts, or scoring logic for advanced analysis.
By Rully Saputra