Utilizing Low-Code Automation Platforms

Automating Autodesk Construction Cloud with Open-Source Low-Code Agents 🤖   Connecting directly to LLMs is powerful, but a dynamic AI agent needs more than just raw intelligence.   It needs to decide how to act and respond based on context and broader goals, without requiring us to explicitly program every step.   n8n is an open-source, low-code workflow automation tool with built in AI features, reducing a lot of the complexity involved in controlling agents.   It also makes it easier to apply Retrieval-Augmented Generation (RAG), which improves AI responses by finding relevant data from external sources before generating text.   RAG uses AI-generated embeddings to classify and search documents based on semantic meaning rather than just keywords, ensuring more relevant and context aware results.   This means: ✅ Smarter AI decisions based on contextual rather than keyword-based searches ✅ More accurate and meaningful interactions with project data ✅ A straightforward way to leverage AI without complex custom development   While hallucinations still happen, tools like n8n are great for quickly prototyping with out of the box AI functionality, with the ability to scale when needed.   With ACC's open APIs, we can easily bring project data into the AI knowledgebase. Here I'm extracting data from ACC Issues and RFIs, querying it using AI, and updating records where needed.   To take this further, n8n could be configured to run scheduled updates to keep the RAG databases in sync with the ACC project.   This excites me because with a solid foundation it's possible to automate entire processes rather than individual tasks. For example drafting an RFI response by reviewing specifications, assigning the correct person to review, flagging critical issues and escalating if not closed out.   🏁 Getting Started n8n is free to run locally. You can follow this guide to set it up: https://lnkd.in/gYwm5sSD   🔗Also check out the ACC APIs: https://lnkd.in/g_TSeUYA   🔗My previous post on Copilot Studio with ACC: https://lnkd.in/g4jWacuK   #Autodesk #n8n #Automation #OpenAI

Over the last few weeks, I’ve been exploring how we can apply AI and workflow automation to improve developer productivity in simple yet impactful ways. As part of a recent hackathon, I built a custom 1:1 productivity tool using n8n — a no-code workflow automation platform. The goal was to reduce the manual overhead developers and managers face after meetings and make knowledge capture seamless. 🛠️ Here’s what the workflow does: ✅ Pulls meeting transcripts from Google Drive 🧠 Uses LLMs to summarize them into Key Wins, Concerns, and Action Items 📊 Updates a structured spreadsheet or Notion table 🔁 Sends a weekly digest — no manual follow-ups needed This simple setup transformed how we track discussions and progress — reducing effort, increasing visibility, and keeping the team aligned without extra docs or meetings. The potential of AI + automation to reshape everyday developer workflows is massive — not just for managers, but for engineers, leads, and entire teams. If you’ve built your own workflows, I’d love to learn from them too. Drop a comment or DM 💬 #AI #DeveloperProductivity #n8n #Automation #LLM #DevTools #NoCode #WorkflowAutomation #EngineeringExcellence

𝗬𝗼𝘂 𝗱𝗼𝗻'𝘁 𝗻𝗲𝗲𝗱 𝗮 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝗽𝗿𝗼𝗰𝘂𝗿𝗲𝗺𝗲𝗻𝘁 𝘁𝗼𝗼𝗹𝘀 𝗮𝗻𝘆𝗺𝗼𝗿𝗲. You need a lunch break and a free trial. I mapped 54 no-code and low-code platforms that procurement teams can use today without writing a single line of code. 7 categories: → Workflow Automation (Zapier, Make, n8n, Power Automate) → AI Agent Builders (Relevance AI, Flowise, CrewAI) → Internal Tool Builders (Retool, Glide, Appsmith) → Form & Intake Builders (Jotform, Typeform, Tonkean) → Data & Spreadsheet AI (Airtable, Notion, Rows) → Document & Invoice AI (Docsumo, Rossum, Nanonets) → Communication & Collaboration (Slack, Canva, ClickUp) The one that changed my thinking? AI Agent Builders. Platforms like Relevance AI and Flowise let you build autonomous procurement agents with drag-and-drop. No Python. No API knowledge. No IT ticket. A Category Manager can now build a supplier research agent in an afternoon that would have taken a dev team 3 weeks. That's not a productivity hack. That's a power shift. The procurement pros who learn these tools won't just be faster. They'll be the ones IT comes to for help. Save this map. Pick one tool. Start this week. 📥 𝐉𝐨𝐢𝐧 a growing community of supply chain professionals who are making smarter decisions every week through AI-powered insights: https://lnkd.in/eiyuDvEU Follow Asmaa Gad + Supply Chain AI Pro for daily AI tips in supply chain #Procurement #AI #NoCode #SupplyChain #DigitalTransformation

Turning Syllabus Chaos into Calendar Calm with AI 🤖 The first week of every semester, I manually enter every class, deadline, and exam from a syllabus into my digital calendar, and it was a time-consuming chore prone to errors. I decided to automate it. The Solution: I built an automation workflow on n8n that serves as a personal assistant. Here’s how it works: 1. A user sends a syllabus PDF/Doc to a Telegram bot. 2. The workflow extracts the text from the document. 3. OpenAI's GPT-4o model reads the text, and using a carefully engineered prompt, parses it into a structured JSON format—identifying the course name, professor, and a detailed list of every event. 4. The workflow then converts this JSON into a standard iCalendar (.ics) file. The bot instantly sends the .ics file back to the user, ready for one-click import into their calendar. The real magic was in the prompt engineering. Crafting precise instructions to force the AI to return clean, predictable data was the key to making the entire automation reliable. This project was a fantastic proof-of-concept in low-code development, but I was curious how the architecture would change in a different, enterprise-grade ecosystem. #Automation #n8n #OpenAI #GPT4 #LowCode #NoCode #ProcessAutomation #Productivity #API #Telegram

🔥 Six months ago, I had no idea what low-code tools could actually do. Today, I've built chatbots that onboard vendors, prioritize sales leads, and verify claims. All automated. Here's what I experimented with: Low-code exploration: 🔥Power Automate + Copilot Studio to build intelligent agents ✨Vendor onboarding agent: validates details, stores them in DB via cloud flows 🌍Sales lead targeting agent: checks and prioritizes leads automatically 🤠Claim verification agent: validates user claims before approval Backend and AI development: 🔥Built a "Chat with PDF" prototype using Python, LangChain, and Streamlit ❤️Implemented JWT authentication with Pydantic in a FastAPI backend ✨Got hands-on with real-world API design and security patterns The biggest lesson? You don't need to master everything at once. Pick one thing, build something small, break it, fix it, repeat. Low-code taught me automation logic. LangChain taught me how AI agents think. FastAPI taught me how to structure backends properly. All of it together? That's what makes you job-ready. What's one skill you've been experimenting with lately? #AI #BackendDevelopment #LearningInPublic

🚀 Power Automate: Best Practices That Actually Work Whether you're just starting out or scaling enterprise flows, these tips will save you hours of frustration and make your automations sing 🎶 🔧 1. Name Everything Clearly Use consistent naming conventions for flows, variables, and actions. Future-you will thank you. 📦 2. Use Scopes to Organize Logic Group related actions into scopes to keep your flow tidy and easier to debug. 🧪 3. Test with Real Data Don’t rely on sample inputs—test with actual data to catch edge cases early. 📛 4. Handle Errors Gracefully Use “Configure Run After” and Try-Catch patterns to prevent silent failures. 📊 5. Monitor Performance Check flow analytics and run history to spot bottlenecks or excessive triggers. 🔐 6. Secure Your Connections Avoid using personal accounts for production flows. Use service accounts with least privilege. 🧠 7. Document Your Flow Logic Add comments and descriptions so others (and you) can understand the “why” behind each step. 💬 8. Stay Updated Power Automate evolves fast—follow Microsoft’s official blog and community forums to stay sharp. 💡 Bonus Tip: Use icons and diagrams to visualize your flow architecture. Check out this resource for Power Platform visuals to level up your documentation game. Let’s make automation smarter, not harder. #PowerAutomate #MicrosoftFlow #AutomationTips #DigitalTransformation #LowCode #BestPractices

𝗟𝗮𝗯 - 𝟰 : 𝗧𝗵𝗲 𝗜𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻 𝗼𝗳 𝘁𝗵𝗲 𝟴𝟬/𝟮𝟬 𝗥𝘂𝗹𝗲. We are used to spending 80% of our engineering time building the "Happy Path." These are the standard, mundane workflows. The daily data movements, the standard approvals, the repetitive reporting. We spend weeks architecting these because they handle 80% of the volume. The complex edge cases—the "Priority 2" tickets or the sophisticated "good-to-haves"—usually get pushed to the backlog because we simply run out of bandwidth. Tools like n8n are changing this equation fundamental. First, the visual node-based structure of n8n maps 1:1 with how we mentally architect a system. There is zero translation loss between the whiteboard and the deployment. But the real shift happens when you inject AI into that structure. By using AI nodes to handle the logic and transformation of the standard data flow, we can now build that "Happy Path" in 20% of the time. The AI handles the mundane parsing and routing that used to require strict, brittle coding. This creates a massive resource vacuum—in a good way. We suddenly have 80% of our time returned to us. We can finally focus on the "Edge Case 20%"—the complex exceptions, the sophisticated error handling, and the creative optimization workflows that actually drive competitive advantage. Low-code + AI does not mean we do less work. It means we stop wasting senior engineering cycles on basic plumbing. We can finally clear the "Priority 2" backlog that has been sitting there for years. The goal of automation isn't just speed. It is buying back the bandwidth to solve the hard problems. #n8n #WorkflowAutomation #AIEngineering #LowCode #SystemDesign #DevOps #IndustrialAI

n8n Is Quietly Changing How Automation Gets Done When people think of automation, they often imagine Zapier for quick workflows or custom code for complex tasks. But n8n is blurring that line — and doing it open source. Here’s what’s changing: 1️⃣ Self-Hosted Freedom – No more vendor lock-in. You own your workflows & data. 2️⃣ Hybrid Power – Low-code UI for speed + full JavaScript control for depth. 3️⃣ Complex, Multi-Step Workflows – Connect APIs, transform data, trigger events — all in one place. 4️⃣ Cost Model That Scales – Not per-task pricing, so experimentation is unlimited. 5️⃣ Community-Driven Growth – Hundreds of integrations built & improved by the community. 💡 For businesses, this means enterprise-grade automation without enterprise-grade costs. 💡 For developers, it’s a playground to build exactly what you need — without hitting a paywall. The future of automation isn’t just no-code or full-code. It’s low-code + control + ownership — and n8n is leading that shift. 🔗 Are you already using n8n? What’s your favorite workflow? #n8n #Automation #LowCode #OpenSource #Productivity