anthropic

Claude is an AI chatbot built by Anthropic and available on Claude.ai, through the API, and via third-party integrations. It excels at long-form writing, coding, analysis of complex documents, and reasoning through multi-step problems. Unlike ChatGPT, Claude does not train on conversations, offers higher context limits, and produces more thorough outputs. This guide explains what Claude is, how to access it, what it does better than competitors, its actual limitations, and how to prompt it effectively.

Claude 4 family explained: Opus 4, Sonnet 4, Haiku 4. Benchmarks, pricing, extended thinking, tool use, and how it compares to GPT-5 and Gemini.

Anthropic is the AI safety company behind Claude, founded in 2021 by ex-OpenAI researchers. Governance, funding, research, models, and criticism explained.

Tool use lets an LLM call one function. An agent runs a loop of reasoning and tool calls until done. Here's the real distinction.

Claude Skills are folder-based modules that extend Claude with scripts, instructions, and resources. Here's how they work and differ from MCP.

LiteLLM gives you one OpenAI-compatible API for 100+ LLM providers. Here's how it compares to OpenRouter, Portkey, and other gateways.

Anthropic's Computer Use lets Claude control a real desktop via screenshots and mouse/keyboard. How it works, examples, limits, and how it compares.

Prompt caching slashes LLM costs up to 90% by reusing repeated prompt prefixes. Compare Anthropic, OpenAI, and Gemini caching with code examples.

Function calling and tool use are the same concept under different names. Learn how LLMs invoke external tools, with examples from OpenAI, Anthropic, and Google.

JSON mode guarantees valid JSON. Structured Outputs guarantees the right shape. Here's the difference and when to use each in 2026.

Claude Code is Anthropic's terminal-first agentic coding tool. Features, pricing, and how it compares to Cursor, Copilot, Aider, and Devin.

MCP (Model Context Protocol) is Anthropic's open standard for connecting AI models to tools and data. Architecture, examples, and why it matters.