AI Agents

Deep Research (DR) agents have rapidly gained popularity in both research and industry, thanks to recent progress in LLMs. However, most popular public DR agents are not designed with human thinking and writing processes in mind. They often lack structured steps that support human researchers, such as drafting, searching, and using feedback. Current DR agents…

Estimated reading time: 5 minutes Table of contents Introduction to LangGraph Key Features: Setting Up Our Environment Installation Understanding the Power of Coordinated Processing Introduction to LangGraph LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through…

As large language models (LLMs) evolve from simple text generators to agentic systems —able to plan, reason, and autonomously act—there is a significant increase in both their capabilities and associated risks. Enterprises are rapidly adopting agentic AI for automation, but this trend exposes organizations to new challenges: goal misalignment, prompt injection, unintended behaviors, data leakage,…

Microsoft has taken a major leap into the future of web browsing with the launch of Copilot Mode in Edge, positioning it as the company’s first real step toward an AI-native browser. This marks a pivotal moment not just for Edge, but for the entire concept of what a browser can be in the era…

The White House just released the U.S. AI Playbook—formally titled “America’s AI Action Plan”—a sweeping, high-impact federal strategy that clarifies one thing: the United States is going all in on artificial intelligence. Whether you’re in Silicon Valley, leading a Fortune 500, or managing a critical government agency, the message is unambiguous: scale AI fast, dismantle…