Securing AI Agents Without Slowing Innovation
Author(s): Sandip Patel Originally published on Towards AI. By a Sandip Patel, Sr. Cloud Architect (Microsoft) with 20+ years in IT A few months back, after showing off a workflow powered by AI agents, a finance VP asked me a straightforward question: …
TAI #187: OpenAI’s Health Push and the Real State of LLMs in Medicine
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie OpenAI made its biggest healthcare push this week with two launches: ChatGPT Health for consumers and OpenAI for Healthcare for enterprises. The consumer product …
n8n AI Agent Node Memory: Complete Setup Guide for 2026
Author(s): Aveloria Thessar Originally published on Towards AI. Building AI agents that forget everything after each conversation? You’re not alone. Over 70% of workflow automation users struggle with context retention in their AI implementations, according to industry reports from 2025. The solution …
The Complete Guide to Guardrails: Building AI Agents That Won’t Go Rogue
Author(s): Divy Yadav Originally published on Towards AI. Photo by Gemini Note: If you’re implementing guardrails soon, this is essential reading; pair it with LangChain’s official docs for edge cases. Let’s begin Picture this: You’ve built an AI agent to handle customer …
The Cognitive Substrate Shift: Understanding AI’s 2026 Inflection Point
Author(s): Shashwata Bhattacharjee Originally published on Towards AI. The Fallacy of Linear Extrapolation When analyzing AI trajectory predictions, most analysts fall into the trap of linear extrapolation — projecting current capabilities forward at constant rates. The predictions outlined in the source document, …
Emergent Affective Computing: The Unintended Evolution of Machine Emotional Intelligence
Author(s): Shashwata Bhattacharjee Originally published on Towards AI. The discourse surrounding artificial intelligence has long centered on computational capability — model parameters, benchmark scores, reasoning depth. Yet the most profound transformation in human-AI interaction stems not from architectural sophistication, but from an …
LLM & AI Agent Applications with LangChain and LangGraph — Part 29: Model Agnostic Pattern and LLM API Gateway
Author(s): Michalzarnecki Originally published on Towards AI. Hi! In this part we’re moving from experiments and prototyping into the real world — production deployments. Because the truth is: building a working notebook or a proof-of-concept is only the beginning. The real challenges …
Generative AI — RAG Applications Embedding Libraries
Author(s): shalabh jain Originally published on Towards AI. Generative AI is talk of town in recent years , we all suppose to understand it. This article is part of a series provides comprehensive overview of the major components used in a Generative …
A Complete Guide to Micro Frontend Architecture with React.js
Author(s): Elsie Rainee Originally published on Towards AI. Introduction: Why Do Frontend Apps Become So Hard to Manage? Have you ever worked on a frontend application that started small and simple, but eventually turned into a huge, tangled mess? Features became harder …
LangChain v1.x Features: Agents, Middleware, Streams, and MCP
Author(s): Michalzarnecki Originally published on Towards AI. Hi. This article covers important features and syntax from new releases of LangChain library since v1.0.0. For more examples and explanations related to LangChain and LangGraph libraries see my dedicated article series. For more features …
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