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Claude

Anthropic's flagship LLM family.

What is Claude?

Claude is an AI assistant developed by Anthropic, built for reasoning, analysis, coding, writing, and agentic task execution. Unlike a basic chatbot that responds to one prompt at a time, Claude can carry out multi-step workflows autonomously, use tools, read and write files, browse the web, and execute code. It is trained using Constitutional AI, a technique Anthropic developed to align the model’s behaviour with a set of principles rather than relying solely on human feedback at every step. Claude is available as a consumer product at claude.ai and through an API for developers building production systems.

How Claude works

Claude is a large language model, which means it generates responses by predicting the most useful next token given everything in its context window. Its context window is very large, allowing it to process long documents, codebases, and extended conversations without losing track. Here is how the key parts of the system fit together:

  • Model tiers: Claude is offered in three sizes for different price and performance trade-offs. Haiku is the fastest and most cost-efficient, suited for high-volume, latency-sensitive tasks. Sonnet sits in the middle, combining speed with frontier-level intelligence for coding and agent workflows. Opus is the most capable, used for complex reasoning, multi-step agentic work, and tasks requiring the highest accuracy.
  • Extended thinking: Claude can be toggled into a reasoning mode where it generates a step-by-step chain of thought before producing its final answer. This improves accuracy on hard problems like maths, logic, and multi-part analysis.
  • Tool use: Claude can call external tools defined by the developer, including web search, code execution, file reading, and MCP servers. It decides when to call a tool, what arguments to pass, and how to use the result to continue the task.
  • Agentic loop: In agentic mode, Claude executes a sequence of actions, evaluates the result, and continues until the task is complete or it hits a checkpoint requiring human approval. This is the foundation of products like Claude Code and Claude Cowork.
  • Constitutional AI: Anthropic trains Claude against a written constitution of principles, producing a model that reasons about its own outputs and declines requests that conflict with its values, rather than relying only on human labellers to flag every harmful case.
  • Memory: Claude can store and retrieve information across sessions using the memory tool, letting it recall user preferences, project context, and prior decisions without the user repeating themselves.

What you can build with Claude

  • Agentic coding assistant: Use the API or Claude Code to build a system that reads a codebase, plans changes across multiple files, runs tests, and commits fixes automatically, with the developer reviewing the final result rather than guiding each step.
  • Document intelligence pipeline: Feed Claude long contracts, research papers, or internal reports through the Files API and have it extract structured data, summarise findings, and flag key clauses with citations pointing to the exact source text.
  • Customer support classifier: Pass support tickets to Claude with a category list and have it route each one to the right team, including a rationale, at scale through the Batch API without a human reviewing each ticket.
  • Multi-agent research system: Orchestrate several Claude instances where one searches the web, one synthesises sources, and one writes a structured report, all coordinated through the API’s tool use and agentic loop.
  • Internal knowledge assistant: Connect Claude to your company’s documentation via MCP or RAG and give employees a chat interface that answers questions with citations from actual internal sources rather than guessing.
  • Computer use agent: Deploy Claude with the computer use tool to automate browser-based workflows, fill forms, extract data from web interfaces, and complete tasks that previously required manual human interaction.

Key Features

  • Three model tiers (Haiku, Sonnet, Opus) optimised for different trade-offs between speed, cost, and capability
  • Extended thinking mode for step-by-step chain-of-thought reasoning on complex problems
  • Large context window for processing long documents, codebases, and multi-chapter text in a single prompt
  • Native tool use including web search, code execution, computer use, file read/write, and MCP server connections
  • Constitutional AI training approach designed to produce a model that is safe, honest, and helpful without requiring exhaustive human labelling
  • Available via claude.ai for direct use and via the Anthropic API for production integrations

FAQ

What is the difference between Claude Haiku, Sonnet, and Opus? +

All three models are capable of the same broad tasks, but they differ in speed, cost, and depth of reasoning. Haiku is the fastest and cheapest, suited for classification, summarisation, and high-volume pipelines. Sonnet balances speed with frontier-level intelligence and is the default choice for most production applications including coding and agent workflows. Opus is the most capable for complex, multi-step reasoning and tasks that benefit from deeper analysis, at a higher cost per token.

How is Claude different from ChatGPT? +

Both are large language model assistants, but they come from different companies with different design philosophies. Anthropic built Claude with a focus on safety and honesty through Constitutional AI. Claude is generally noted for its large context window, detailed structured reasoning, and performance on coding and agentic tasks. ChatGPT has a larger ecosystem of third-party plugins and integrations. The best choice depends on your use case and the models you test against your specific tasks.

Can I use Claude to build production AI applications? +

Yes. Anthropic provides an API with Python and TypeScript SDKs, Batch API for high-volume workloads, prompt caching for cost reduction, and tool use for connecting Claude to external systems. Claude Code, Claude Cowork, and the MCP server ecosystem are all built on the same API that developers access directly, so the same capabilities available in Anthropic's own products are available to anyone building on the platform.

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