Beyond the Hype: 10 Best AI Agents That Truly Work

Beyond the Hype: 10 Best AI Agents That Truly Work

AI applications are becoming more agentic and long-running over time. As the team at LangChain recently observed, what starts as simple RAG often evolves into deep research agents, and coding has shifted from auto-completion to asynchronous, long-running software engineering agents that work independently for hours. This shift represents a change in how we think about…

What Is AI Sentiment Analysis and How to Build It with n8n?

What Is AI Sentiment Analysis and How to Build It with n8n?

Learn how to use AI sentiment analysis in n8n to intelligently automate workflows. Explore sentiment types, real-world use cases, and step-by-step guidance to build an agent-based system that classifies and explains email intent. Whether you’re monitoring brand perception, sifting through customer feedback, or assessing market reactions to news about potential investments, sentiment analysis provides a…

7 Best AI Agent Builders: An Expert Market Breakdown

7 Best AI Agent Builders: An Expert Market Breakdown

Explore 7 top AI agent builders: workflow-native, AI-native & hybrid. Compare AI agent builder platforms by use case, integration & flexibility! AI agents sound revolutionary until you try to build one for your business. Suddenly, you’re faced with unpredictable LLM outputs, integration challenges, and a gap between demo-ready prototypes and production-ready systems. The right AI…

Community nodes available on n8n Cloud

Community nodes available on n8n Cloud

Starting with a select group of verified nodes, users can install community and partner-built integrations directly from the canvas. This launch marks the next step in expanding our trusted ecosystem, powered by community contributions and vendor collaborations. We’re expanding the n8n ecosystem and unlocking a new level of flexibility for all users. Starting today, a…

MCP will be the death of low-code automation

MCP will be the death of low-code automation

Explore the state and future of MCP in AI agents—from vendor security and model risks to cost and orchestration. MCP shows promise but faces adoption hurdles due to immaturity, security flaws, and backward compatibility challenges. What I assume for future is A Reddit user envisioning how MCP will create web 4.0, colorized (2025) Most no-code automation…