Rajesh Sabbani

Here are the key takeaways from “How to build scalable agentic AI applications for enterprises” (CIO) by Hari Subramanian: What is “agentic AI” & why it matters Agentic AI refers to systems of autonomous agents (or multi-agent systems) that can carry out multi-step, complex workflows rather than just one-off responses. This shift is significant: instead of humans orchestrating AI calls or pipelines manually, these agents can coordinate themselves, interact with tools or data sources, and adapt. For enterprises, agentic AI offers the potential to scale automation in business processes, improving efficiency, reducing human overhead, and enabling new capabilities. Core components in agentic AI systems The article breaks down typical agentic workflows into four core components that must be integrated: Prompts These define goals or tasks for agents. Challenges: versioning, testing, portability across models. MCP servers / protocols “MCP” here refers to the prot...

A concise summary of key takeaways and a step-by-step implementation guide from the video titled: 🎥 "Get Instant Video Summary (No Watching) - AI Agent n8n" 🔑 Key Takeaways ✅ You can analyze any video (uploaded or YouTube) and get an AI-generated document report without watching it manually. 🧠 The workflow uses Google AI , which can analyze both audio and visuals of the video. 🔁 Hosted on n8n via WebspaceKit , enabling unlimited workflow execution and easy setup. 📥 You’ll use a prebuilt workflow template to avoid starting from scratch. 📄 The final output is a Google Docs report , automatically generated from the video content. 🛠 No coding is required — just basic configuration and API setup. 🧭 Step-by-Step Guide 🖥️ 1. Host n8n on WebspaceKit Go to the WebspaceKit link (provided in video description). Select a plan, fill in personal & payment details, and checkout. Once done, go to your hosting dashboard. ⚙️ 2. Set Up n8n Auto...