Christian Avisse

Thrilled to announce that SurrealDB now has an official integration with n8n ⚡ This is a big step for our ecosystem. Developers can now: ✅ Run SurrealQL queries directly inside n8n workflows ✅ Orchestrate AI pipelines across 350+ services ✅ Trigger automations from live SurrealDB events SurrealDB’s mission is to be the unified data layer for AI and modern applications. Connecting with a leading automation platform like n8n brings us closer, enabling teams to build production-ready pipelines without glue code or fragile scripts. Docs → https://lnkd.in/evzjreEW Repo → https://lnkd.in/ePEnnFRs Blog → https://lnkd.in/eEbKXaJV

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Matthieu Jonglez from Progress talking about how to use AI with #semantic #agentic #RAG on structured and unstructure data from a companies’s private systems “The greater the context, the greater the insights” #progressdatasummit

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🚨 The new AI Agent update in n8n just changed the game for no-code orchestration. You can now build fully modular agent armies — where each AI agent lives inside your main agent as a tool. No more scattered workflows. No more Execute Workflow nodes. Just clean, centralized AI orchestration. In my latest tutorial, I show you how I built a system that: 🤖 Uses one master orchestration agent to control all sub-agents 📩 Automates emails, calendars, expense tracking, and company knowledge 🧠 Assigns memory, models, and tools per agent — inside a single workflow 📂 Removes the need for multiple builds by letting agents act as tools 📈 Scales perfectly for client work, personal use, or AI assistant businesses Watch the full build + demo here 👉 https://lnkd.in/gDgfRfW6 Want to learn how to create AI automations like this — and package them into real client offers? Join the AI Workshop community — where I share full blueprints, sales strategies, and how to turn automations into income. 👉 https://lnkd.in/gnNJqH9u #AI #Automation #n8n #nocode #AIagents #VoiceAI #AIWorkshop #OpenAI #Claude #Gemini #AgentOps #WorkflowDesign

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Prompt engineering isn’t dead — it just got a major upgrade. A year ago, we built Latitude to help people design better prompts and workflows. Thousands used it. But we saw the same problem again and again: 👉 everyone wanted to build agents, but building by hand was too fragile, too technical, too slow. So today, we’re launching Latitude 2.0 on Product Hunt. The first agent that builds agents. Here’s the shift: ⚡ From writing endless prompts → to describing what you want, once. ⚡ From fragile, manual setups → to production-ready AI agents in minutes. ⚡ From “prompt hacking” → to true agent engineering. This isn’t the end of prompt engineering. It’s the new way of doing it. ⏳ We’re live today only on Product Hunt. Every upvote helps signal the future: 👉 https://lnkd.in/dkmYFnMs #AI #PromptEngineering #AgentEngineering #ProductHunt #Automation

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We need to talk about how ChatGPT is shaping the way our brains work. MIT’s Media Lab just ran one of the first neuroscience studies on generative AI — and the results are concerning. The Study • 54 participants, ages 18–39 • Wrote SAT-style essays in three conditions: solo, with Google, or with ChatGPT • Brain activity tracked via EEG across 32 regions • Essays reviewed by educators for quality The Findings 1. Lowest brain engagement. ChatGPT users showed the weakest neural activity — consistently underperforming at neural, linguistic, and behavioral levels. 2. Memory loss in action. When asked to re-write essays without AI, most ChatGPT users couldn’t remember their own work. Brain waves tied to memory and creativity (alpha/theta) stayed low. 3. Declining effort. Over months, AI users got progressively lazier — many defaulted to “copy-paste” prompts and editing instead of writing. 4. Writing quality suffered. Teachers called their essays “soulless,” “formulaic,” and “lacking depth.” By contrast, the Google and solo groups wrote with more originality and reported higher satisfaction. 5. Critical thinking risk. Researchers warn heavy reliance on LLMs could weaken neural pathways that build resilience, memory, and creativity — especially for developing brains. Why It Matters Lead researcher Nataliya Kosmyna released the findings early, before peer review, because she feared policymakers might rush to integrate AI into education (“GPT kindergarten”) without understanding the risks. She argues: developing brains are most at risk. Other studies from the Media Lab have also linked heavy AI use to increased loneliness and reduced motivation. Early signals suggest the same patterns may hold in fields like software engineering — where critical thinking and problem-solving are essential. The Takeaway AI can boost speed and convenience. But the trade-off may be memory, depth, and engagement. The best strategy isn’t avoiding AI — it’s using it intentionally: • Start with your own thinking • Bring AI in later to polish or expand • Use AI as a tool, not a substitute for thought This is less about banning ChatGPT — and more about deciding what kind of thinkers we want to become. Read here: https://lnkd.in/erug8TSc #AI #Leadership #CriticalThinking #Neuroscience

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📖 Great blog post by Samantha Coyle from our engineering team, breaking down the magic behind the Workflow Composer app — a tool that transforms any diagram into fully functional code in seconds, with built-in durable execution and observability. Read here: https://lnkd.in/g4nEzWbJ

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