Hi Everyone! very new to automation so I apologize if this is a silly question. I noticed on one of the AI agent Templates from Youtube resources has 2 outputs. Does anyone know how to do this? Is this a simple setting I am missing because i cant find anything in the configuration of the node. Thanks!

Just deployed a groundbreaking AI research assistant that's revolutionizing how scientists interact with cellular biology data! After weeks of intensive development, our bot is doing things that seemed impossible just months ago. "This feels like having an entire research team at my fingertips" - That's what one of our beta testers said after using the system for just 30 minutes. What makes this different? We've built a comprehensive research assistant that: 1. Processes and analyzes microscopic cell images in real-time, providing detailed morphological insights 2. Supports voice, text, and image inputs across multiple languages 3. Generates detailed research reports automatically, complete with email delivery 4. Integrates real-time data from Wikipedia and the latest scientific research through SerpAPI 5. Leverages its own vector database packed with cellular biology knowledge The tech stack that made this possible? - N8N for workflow automation - Telegram for seamless interaction - Pinecone for vector storage - OpenAI's LLM for advanced analysis - Custom-built integration layers connecting everything But here's what's truly exciting: While everyone's focused on basic chatbots, we're pushing the boundaries of what's possible in scientific research automation. This isn't just a chatbot - it's a full-fledged research assistant that can: ✓ Analyze complex cellular images ✓ Generate multilingual voice responses ✓ Access real-time research data ✓ Create comprehensive email reports ✓ Handle multi-turn scientific discussions The breakthrough moment? Watching our bot successfully analyze a complex cell culture image, provide detailed morphological analysis, and generate a comprehensive report - all in under 2 minutes. I'm excited to share more about how we built this. Drop a comment if you'd like to learn about our development process or see some of the actual workflows and results. Thanks @Nate Herk your videos help me alot!!