In the last post, we talked about what AI agents are — systems that can reason, plan, use tools, and take real actions in the real world. Powerful stuff. Now here’s the uncomfortable follow-up question: what happens when an agent does the wrong thing? It sends an email to the wrong person. It runs a query that locks your production database. It leaks a piece of data that should never have left the system. These aren’t hypotheticals. In 2025, a growing number of companies reported AI agents accessing systems they weren’t supposed to or allowing inappropriate data access. And this… Read more
Tag: Agentic AI
What Are AI Agents? And Why Everyone Is Suddenly Talking About Them
You’ve probably noticed the word “agent” showing up everywhere in the AI world. Every product launch, every conference talk, every LinkedIn post — agents, agents, agents. But most explanations either drown you in jargon or make it sound like science fiction. Let’s fix that. By the end of this post, you’ll understand what AI agents actually are, how they’re different from the chatbots you already use, and why this shift matters. A Chatbot Answers. An Agent Acts. Start here. This is the single most important distinction. A chatbot takes your input and gives you a response. You ask a question,… Read more
What is MCP? A Simple Guide for Developers
If you’ve been anywhere near the AI developer world lately, you’ve probably seen three letters popping up everywhere: MCP. Maybe you saw it in a tweet. Maybe your coworker mentioned it. Maybe you saw it in some tool’s changelog. By the end of this post, you’ll understand what MCP is, why it exists, and why it actually matters to you as a developer. Just the stuff you need to know. Key idea: MCP standardizes how AI applications connect to tools and data — it solves integration, not intelligence. So… What Actually Is MCP? MCP stands for Model Context Protocol. It’s… Read more