Context window (AI)
The maximum amount of text an LLM can process in a single request. Claude's context window allows it to analyse entire contracts, long email threads, or multi-page reports not just short snippets. Larger windows enable more complex automation tasks.
Expert insight
An LLM's context window limit isn't just about how much text fits, performance quality also tends to degrade on information buried in the middle of a very long context, a phenomenon sometimes called "lost in the middle." For workflows extracting specific facts from long documents, chunking the document and processing sections separately often outperforms stuffing everything into one call.
In a real workflow
A summarisation workflow splits a 200-page contract into sections because the whole text does not fit the model’s context window.
Common mistakes
- Stuffing irrelevant text into the context.
- Forgetting that long contexts cost more and can reduce accuracy.
Complexity level
Requires some familiarity with automation concepts.
Related terms
Claude AI
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LLM (Large Language Model)
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RAG (Retrieval-Augmented Generation)
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Guides that cover Context window
How to build an AI agent with n8n and Claude: the complete technical guide
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Agentic AI in 2026: what it actually means for your business operations
Agentic AI is the term everyone is using and almost nobody is defining correctly. Here is what it actually means, where it works in production today, where it fails, and how businesses should be thinking about the transition from rule-based automation to autonomous AI-driven operations.
Claude AI for Business Automation: What It Does, What It Costs, What You Get
Claude AI is Anthropic's frontier model and the most capable AI for business document processing, reasoning-heavy tasks, and multi-step agent workflows. This guide explains exactly what Claude does in a business automation context, how much it costs, and how to deploy it effectively.