ChatGPT's market share dropped from 77.6% to 53.7% in a year, while Gemini surged to 26.7%. We ran both through real coding, writing, and research tasks to find out if the numbers reflect reality.

Focused profiles can instead use GPT-OSS-120B for deep-research orchestration, planning, and writing, or GPT-5.2 for those roles in the frontier-model example. Refer to Configuration Files; there is ...

In this tutorial, we build a self-organizing memory system for an agent that goes beyond storing raw conversation history and instead structures interactions into persistent, meaningful knowledge ...

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

A common use case in generative AI is developing an agent, which is a system users interact with in plain language to accomplish a given task. Creating AI agents can require a lot of heavy lifting, ...

MCP-Use is an open-source library that lets you connect any LLM to any MCP server, giving your agents tool access like web browsing, file operations, and more — all without relying on closed-source ...

MCP (Model Context Protocol) is an emerging standard for AI tools and resources. The standard is compatible with normal REST API servers, but adds extra metadata to describe tools, resources, and ...

You can use any IDE you like, but if you don’t have one, please download VS Code. It’s really powerful and easy to use. Here's the link: https://code.visualstudio ...

The guide provides a tutorial on building an advanced artificial intelligence (AI) agent using Python and Retrieval Augmented Generation (RAG). The AI agent is capable of utilizing various tools and ...