GPTPrompts.AI

Claude
Prompts.

Precision, nuance, and code. Our guide reveals the XML-based prompting techniques that make Claude 3.5 the premier choice for developers and writers seeking human-level quality.

The Claude Difference: Nuance Over Hype

Anthropic's Claude 3.5 Sonnet has emerged as the developer's favorite for a reason: it follows complex instructions with a precision that often eludes other models. However, to get this performance, you must abandon "chatting" and start "structuring." Claude prompts are at their best when they use clear delimiters, logical blocks, and explicit reasoning steps.

Our guide dives deep into the specific Anthropic-recommended techniques—like using XML tags to separate content from instructions—that allow Claude to process massive context windows (up to 200k tokens) without losing the thread of the conversation.

Future-Proofing: Computer Use

Prompting the Digital Agent

Claude is now capable of using a computer just like a human—viewing screens, moving cursors, and clicking buttons. Prompting for agents requires **procedural instructions**.

The Agent Framework:

"Use the browser to find the most recent [EVENT]. Once found, navigate to my CRM and update the [LEAD] status. If you encounter a login screen, alert me and wait for manual input."

Key Concept: 'Instruction Buffering'. Break complex agent tasks into clear, verifiable sub-goals.

Mastering XML Tag Structure

Claude is uniquely optimized to recognize XML tags. This is the single most effective way to improve its instruction-following.

The Nested XML Strategy

<instructions>

<goal>Analyze the data.</goal>

<constraints>No jargon.</constraints>

</instructions>

<content>

[Insert Long Text]

</content>

Claude Mastery FAQ