I built a real-time AI chatbot powered by the DeepSeek Chat Model and contextual memory — perfect for interactive conversations ⚡ 🧠 Here’s what it does: 1️⃣ Listens for incoming chat messages through a built-in chat interface. 2️⃣ Routes the messages to an AI Agent for decision-making. 3️⃣ Uses DeepSeek to understand the input and generate intelligent responses. 4️⃣ Leverages Window Buffer Memory to keep track of recent conversation context. 5️⃣ Sends responses back instantly to the chat UI for a smooth, real-time experience. 💡 Why this is powerful: This setup allows you to build custom chatbots without relying on predefined flows — the model understands, remembers, and responds naturally. Ideal for support bots, onboarding assistants, or interactive knowledge bases. 🔧 Tools involved: n8n (workflow automation) DeepSeek Chat Model Window Buffer Memory Built-in Chat Interface 🚀 A clean, scalable way to bring AI-powered conversations directly into your website or app.

I built a workflow that combines AI intelligence with human collaboration in Slack perfect for support, team communication, or hybrid chatbot setups ⚡ 🧠 Here’s what it does: 1️⃣ Listens for incoming chat messages from users. 2️⃣ Passes the message to an AI Agent, powered by: OpenAI Chat Model (for understanding and generating responses) Simple Memory (to keep conversational context) 3️⃣ Sends the message to Slack, where a human (or bot) can step in if needed. 4️⃣ Waits for a Slack response, then continues the conversation or executes the next steps automatically. 💡 Why this is powerful: It creates a seamless handoff between AI and your team. Routine queries can be handled by the agent, while more complex ones are escalated to Slack — all inside a single automated flow. 🔧 Tools involved: n8n (workflow automation) OpenAI Chat Model Simple Memory Slack Integration 🚀 A smart, efficient way to blend automation + human input without losing context.

I just released a brand-new YouTube tutorial showing how to automate Sora 2 using N8N, Nano Banana, and Airtable — from prompt to fully rendered video. You’ll see exactly how to: - Generate images with Nano Banana - Send animation prompts to Sora 2 - Wait for renders - Update Airtable automatically with clean URLs Watch the full tutorial here: 👉 https://youtu.be/Dm4VeJnB8Qw?views The complete automation, including the n8n JSON file and setup notes, is now available in the Classroom section here. If you have questions or want me to cover multi-job execution or batch processing next, leave a comment below.

I finally set up an automation that creates product-on-model mockups — no Photoshop needed. It’s a simple n8n workflow I built with Nano Banana: upload your model photo + product image → get a clean, realistic mockup in seconds. Perfect for ecom, print-on-demand, or anyone tired of manual edits. I’m sharing the full workflow + setup link so you can try it yourself. If you want my quick-start setup checklist, just comment “mockup” and I’ll send it over. (If this breaks any rules I’ll remove it.)

"Whenever you find yourself on the side of the majority, it is time to pause and reflect" - Mark Twain We all are constantly bombarded and inundated with "the latest and greatest" development(s) that we rarely pause and reflect on what all of this really means and how to ground ourselves the best we can. Having watched this interview 3+ months ago and rewatched it last night gave me a completely different perspective on where we're heading... Karen perhaps put it the best "AGI religion"! Please do yourself a favour and set some time to watch the whole interview and then read Karen's book "Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI" - you'll thank me later. 😉 TL;DR(W) In this interview, Karen Hao reveals how major Silicon Valley AI companies operate with cult-like leadership, unchecked power, and exploitative practices. She discusses OpenAI’s transformation from a non-profit mission to a money-driven monopoly, the environmental costs of data centers, and the global South’s harsh labor conditions supporting these tech giants. The video draws strong parallels between today’s AI firms and historical empires—highlighting their adverse impacts on democracy, workers, and communities as they extract resources and influence policy for unchecked expansion. AI’s rapid growth offers innovation but mirrors old colonial and monopolistic patterns— risking democracy and community welfare. Get informed and take action—support independent experts, demand transparency, and ensure AI development serves society, not just big tech. Power to the people! ✊🏻