Latest articles, news, and updates from Robomotion
Getting Started with Model Context Protocol (MCP) The Model Context Protocol (MCP) is an open standard that makes it easy for applications to work with large language models (LLMs). Think of MCP as a “USB-C port for AI” a simple, unified way for various data sources, tools, and services to plug into your LLMs without needing custom code for every connection. How is MCP Used? * Building Smart Agents and Workflows: MCP lets you combine different data streams and services into one smart AI
In the rapidly evolving landscape of artificial intelligence, AI agents are emerging as the backbone of many innovative systems. At their core, AI agents combine learning models with clear instructions, extendable toolkits, and a robust runtime environment to perform complex, multi-step tasks. This post explains the technical structure of AI agents, examines cutting-edge frameworks available today, and explains how integrating Robotic Process Automation (RPA) can enhance your Agent's capabilitie
Imagine a world where repetitive computer tasks are handled seamlessly by software—no tired human input needed. That’s the promise of Robotic Process Automation (RPA). Unlike physical robots you might see in movies, RPA uses software “bots” to mimic human interactions with digital systems, making day-to-day processes faster, more accurate, and error-free. What Exactly Is RPA? RPA is a technology that automates structured, rule-based tasks traditionally performed by humans. Instead of manually
