Claude Deep
Claude Deep Cuts brings this topic into one place so the full arc is easy to follow. Start anywhere, or move through the pieces in order to build a cleaner read on claude deep. The Series Claude Projects: What the Docs Promise vs. What You Actually GetCustomclankerClaude for Teams: What
Claude Deep
Every week someone on r/ClaudeAI posts a version of the same complaint: "I told Claude my name three conversations ago and it doesn't remember." They're not wrong. They're just confused about what Claude is — and more importantly, what it isn'
Claude Deep
There's a version of Claude that answers questions. It's knowledgeable, articulate, and fundamentally passive — you ask, it responds, you copy the output and go do something with it. Then there's the version of Claude that takes actions. It checks your calendar, queries a database,
Claude Deep
There's a common misconception that "Claude" is one thing. It's not. Claude.ai — the web and mobile interface — and the Claude API are two distinct products that happen to run the same underlying models. They have different features, different pricing, different rate limits, and
Claude Deep
Claude's context window is 200,000 tokens. Anthropic treats this as a headline feature, and for good reason — it's large enough to fit an entire codebase, a full novel, or hundreds of pages of documentation in a single prompt. The number sounds liberating. No more chunking
Claude Deep
Artifacts are Claude's answer to the question every chatbot user has silently asked: why am I copy-pasting code out of a chat window like it's 2019? When Claude generates something standalone — a React component, an SVG diagram, a Markdown document, a working HTML page — it renders
Claude Deep
Extended thinking is Claude's way of showing its work. Turn it on, and before Claude gives you an answer, it reasons through the problem in a visible chain of thought — working through steps, considering alternatives, catching its own mistakes. Anthropic frames this as a significant capability upgrade: better
Claude Deep
Model Context Protocol is Anthropic's bet on how AI models should talk to the outside world. The pitch is clean: a single open standard for connecting Claude to any external tool, data source, or service. Instead of building custom integrations for every API, you write an MCP server
Claude Deep
Every Claude user writes system prompts. Almost nobody tests them. The gap between those two facts explains most of the confusion around prompt engineering — people add instructions, observe that Claude does something, and conclude the instructions worked. Maybe they did. Maybe Claude would have done the same thing anyway. The
Claude Deep
Every other article in this series explains what Claude does well and how to use it effectively. This one does the opposite. These are the limitations that Anthropic's marketing doesn't lead with, that the docs mention briefly in fine print, and that you discover the hard
Claude Deep
Most people use Claude like a search engine with better grammar. Type a question, get an answer, close the tab. This works fine for simple lookups, but it wastes the thing Claude is actually good at — sustained, iterative work across a long session. The difference between a mediocre Claude experience
Claude Deep
Claude has three paid tiers that matter: Pro at $20/month, Teams at $30/user/month, and Enterprise at custom pricing. Most individuals use Pro. Most businesses that adopt Claude start by wondering whether Teams is worth the extra $10 per person per month. The answer is less about features