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!!

hey I wanna create an ai agent that helps automate research for my crypto trading. What are some suggestions of ai tools to use please. no code please

Want to dive deeper into this build and discuss how to enhance it? Join AIS+ In this video, I built a team of AI sales agents in n8n that leverages human-in-the-loop functionality for personalized email outreach. The process is simple: 1️⃣ The Sales Agent generates a personalized email. 2️⃣ A human reviews and provides feedback. 3️⃣ The Revision Agent makes adjustments based on the feedback. 4️⃣ This loop continues until the email is approved and ready to send. This system ensures that AI-generated emails meet your standards before being sent—giving you both automation and control. The best part? I built this without writing any code in n8n!

Hey guys! Thanks for all of the support on my latest video where I built the ultimate assistant. @Lenny Peng asked me about how to create a draft as a reply, and I figured I'd address it as a post since many of you may be looking for this functionality. The solution is within the Create Draft tool, you will add an option called 'Thread ID'. The logic here will be the same as the Reply tool where the email agent must first get the message's so it can plug in the thread ID. IMPORTANT You should be able to just add this into the existing 'Create Draft' tool, but you will have to refine the prompting of course. As you can see in the 4th and 5th image, even if the thread ID is left blank (meaning we aren't replying to an email), it sill creates a draft. However, it did make the subject seem like this is a reply. Like I said, introducing this will add some prompting elements. You could even leave the 'Create Draft' tool with no Thread ID option, and create one 'Draft as a Reply' with the Thread ID option. Similar to the 'Create Event' and 'Create Event with Attendee'.

Want to dive deeper into this build and discuss how to enhance it? Join AIS+ In this video, I build the ultimate AI personal assistant using a team of AI agents! A centralized assistant manages four specialized sub-agents, each handling a specific area—making the system more efficient and scalable. This approach ensures that no single agent gets overwhelmed with tasks and tools, leading to better automation and smarter decision-making. All of this is built in n8n using no code! Watch to see how it works. IMPORTANT: Import the workflows by opening up a new workflow, click the three dots in the top right, and select "Import from file". You must make sure when you are setting up the workflows as a tool for the main agent that you are choosing the correct workflow within your n8n environment.