curious to get your insights on a few things: 1. The Role of Notion: How do you view Notion in your AI stack? Is it primarily a Knowledge Base (RAG), a Task Manager for your agents, or a User Interface to display AI outputs? 2.Types of Agents: What kind of agents have you successfully built using Notion? (e.g., Content Repurposing Agents, Research Agents that auto-fill databases, or personal "Second Brain" assistants?) 3.Best Niches: Which industries or niches do you think benefit the most from Notion-based AI automation? (e.g., Marketing, Software Dev, Project Management, etc.) 4.Key Insights: For those using tools like n8n, what is one "pro-tip" or limitation you’ve discovered when using the Notion API for AI tasks? What is the best approach to use Notion? Looking forward to seeing how you’re pushing the boundaries of Notion!

Experience with Email automation using n8n and notice that most tutorials and templates seem to focus heavily on Gmail. This got me wondering about the flexibility of the platform for different setups. I’d love to hear your thoughts on a few points: 1. Provider Flexibility: While the Gmail node is very popular, how many of you are using other providers like Outlook, yahoomail. microsoft, hotmail, and some other? how you connect with other ? 2 The "Custom" Route: For those with private or custom business email domains, have you found any major limitations when connecting via SMTP compared to the official API-based nodes? or any other options you use ? 3 Security & Auth: How do you handle the trade-off between the ease of OAuth2 (Gmail/Outlook) versus the manual setup of App Passwords for other services? Looking forward to hearing about your different email stacks and any "gotchas" you’ve found!

With so many options available in the market, curious to know how you all decide on the best "trio" for your AI projects. When building a chat-based application or an automation (like in n8n), how do you evaluate these three critical components? 1. Choosing the LLM Model & Provider Beyond just the cost, what factors make you choose one provider (Open AI, Anthropic, Google, or open-source) over another? - Do you prioritize latency and speed for real-time chat? - How much does the context window size influence your decision? - Do you look for specific fine-tuning or domain-specific capabilities? 2. Deciding on the Database (DB) In tools like n8n, there are many DB options (PostgreSQL, Supabase, Pinecone, Redis, etc.). Besides cost, what do you look for before choosing? - Vector Search vs. Relational: When do you opt for a dedicated vector store versus a traditional SQL DB with vector support? - Scalability: How do you assess if a DB can handle your project's future growth? - Ease of Integration: Does the available n8n node support everything you need ? 3. Selecting Memory Options Managing conversation history is tricky. How do you decide which memory strategy to use? - Buffer Window vs. Summary: Do you prefer keeping the last 'X' messages or using an LLM to summarize the history? - Persistent vs. Ephemeral: When is it worth using a database for long-term "brain" memory versus just keeping it in the session? About the "rules of thumb" or frameworks you use to make these choices. Looking forward to your insights!

Welcome to the most comprehensive free course on AI automation and AI agents for beginners using n8n. In this 8+ hour deep-dive, I’ll walk you step-by-step through what you need to go from complete beginner to building and selling real AI-powered automations, no coding required. We’ll cover what AI agents are, why they’re a smart investment right now, and how to use n8n to build powerful workflows with a free two-week trial. You’ll learn n8n foundations, how to set up APIs and HTTP requests, and how to use tools like agent memory, multi-agent systems, and prompting to create scalable systems. We’ll also explore essential concepts like webhooks, MCP servers, and self-hosting, plus a ton of advanced strategies packed into easy-to-follow lessons. By the end of this course, you’ll have built over 15 working AI automations that you can use or sell. This video is insanely value-packed, so make sure to save it and come back to it whenever you hit a roadblock. If you’re serious about mastering AI agents and automation, this course is the only one you’ll need.

Hello everyone, My name is Dishant and I’m from India. I’ve recently started building AI automation systems, AI agents, and bots that help businesses automate tasks, improve workflows, and save time. I’m currently looking for my first few clients where I can implement these solutions and deliver real value. I truly believe these tools can help businesses become more efficient. At the moment, my biggest challenge is reaching the right people who might need these solutions. If you know any business owners, startups, or teams who could benefit from AI automation, I would be extremely grateful if you could connect me with them or recommend my work in your network. Even a small introduction or suggestion could make a huge difference for me as I’m just getting started. Thank you so much for your time and support. I really appreciate this community. – Dishant