Mastering Context Windows: The Art of Long-Form Prompting

As AI models expand their context windows to millions of tokens, the challenge has shifted from "how much can I fit" to "how do I keep the model from getting distracted." When you dump a 50-page document into a prompt, the model often suffers from the "lost in the middle" phenomenon.

To maintain high performance, you need to structure your long-form prompts with clear signposts and explicit instructions on how to prioritize information.

SYSTEM: You are an expert analyst. INSTRUCTION: I will provide a long transcript. Focus exclusively on the section titled "Strategic Initiatives." Ignore all conversational filler. If a conflict exists between the transcript and the summary, prioritize the transcript. CONTEXT: [INSERT LONG DOCUMENT HERE]

Action Steps Summary

• Use Delimiters: Wrap your data in XML tags like or to help the model identify boundaries.
• Assign Roles: Explicitly tell the model to act as a specific expert to narrow its focus.
• Chain of Thought: Ask the model to outline its reasoning before providing the final answer.

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