Claude Prompting Tips & Advanced Techniques
Claude, built by Anthropic, has earned a reputation as the most reliable assistant for long-form writing, detailed analysis, and complex reasoning tasks. Its strengths are different from ChatGPT's — and to get the most from it, you need prompting techniques tailored to Claude's architecture.
This guide covers Claude Sonnet and Claude Opus, with a focus on the features that make Claude unique: massive context windows, artifact generation, precise instruction following, and exceptionally high-quality writing.
Leveraging Claude's Strengths
1. Ultra-Long Context
Claude offers a 200,000-token context window on standard tiers, and even larger on some enterprise plans. This is roughly 500 pages of text. You can paste entire books, legal documents, or large codebases and ask Claude to analyze them.
I am pasting a 150-page technical specification document below.
[FULL DOCUMENT]
Please:
1. Create a 10-bullet summary of the document's purpose and scope
2. Extract all API endpoints mentioned and list them in a table
3. Identify any sections that contradict each other
4. List the 5 most critical requirements that must be implemented first
5. Suggest 3 questions a developer should ask after reading this document
The key insight: the document stays in context for the entire conversation. You can ask follow-up questions about page 47 after discussing page 3, and Claude remembers the relationships.
2. Artifact Mode for Code and Documents
When Claude generates code, documents, or structured content, it can output them as "artifacts" — separate, copyable blocks that are easier to work with than inline text.
How to trigger artifacts:
Write a complete Python script that does [TASK]. Output the full script as an artifact so I can copy it easily.
Artifacts are especially useful for:
- HTML/CSS page prototypes
- SQL scripts
- Markdown documents
- JSON configurations
- Spreadsheet formulas
3. Writing Quality and Tone Control
Claude is widely regarded as the best AI writing assistant. It produces nuanced, natural prose with less editing needed than other models. To push its writing even further:
Write a [TYPE OF DOCUMENT] in the style of [AUTHOR/PUBLICATION].
Requirements:
- Tone: [specific adjectives]
- Sentence structure: [short and punchy / long and flowing / varied]
- Paragraph length: [constraint]
- Voice: [first person / third person / instructional]
- Avoid: [specific words, cliches, or structures]
Claude-Specific Prompting Techniques
Structured Output with XML Tags
Claude responds exceptionally well to XML-like tags in prompts. This is an Anthropic-recommended pattern for complex multi-part tasks:
Please analyze this customer feedback and produce a structured report.
<feedback>
[PASTE FEEDBACK]
</feedback>
<required_output>
<summary>One-paragraph summary</summary>
<themes>
<theme>Name and description</theme>
</themes>
<sentiment>Overall sentiment with confidence</sentiment>
<action_items>
<item>Specific, actionable recommendation</item>
</action_items>
</required_output>
Chain-of-Thought with Explicit Reasoning
Claude excels at reasoning when you explicitly ask it to think step by step. Unlike ChatGPT, Claude will often produce higher-quality reasoning if you ask it to show its work before the final answer.
Solve this problem. Before giving your final answer, show your reasoning step by step inside <thinking> tags. After you are done reasoning, give the final answer inside <answer> tags.
[PROBLEM]
Few-Shot Prompting with Examples
Claude is excellent at pattern matching from examples. For classification or formatting tasks, provide 2-3 examples in the prompt:
Classify each customer message by intent.
Examples:
Message: "I want to cancel my subscription"
Intent: cancellation_request
Message: "How do I reset my password?"
Intent: support_question
Message: "Your product is amazing, but the mobile app crashes"
Intent: feedback_with_issue
Now classify these:
[LIST OF MESSAGES]
Claude for Specific Use Cases
Legal Document Review
I am uploading a [CONTRACT TYPE]. Please review it for:
1. Unusual or one-sided clauses
2. Missing standard protections
3. Ambiguous language that could be disputed
4. Termination rights and notice periods
5. Liability caps and indemnification terms
For each finding, quote the specific language and explain the risk. Do not provide legal advice — just flag items for my attorney to review.
Academic Paper Feedback
I am pasting a draft of my research paper on [TOPIC]. Please provide developmental feedback as if you are a peer reviewer:
1. Assess the clarity of the research question
2. Evaluate whether the methodology section is sufficiently detailed
3. Check for logical gaps in the argument
4. Identify unsupported claims
5. Suggest 2-3 papers I should cite to strengthen the literature review
Be rigorous but constructive. I want to improve the paper, not just hear praise.
Code Architecture Review
I am pasting a [LANGUAGE] project structure and key files. Please review the architecture:
[PROJECT STRUCTURE]
[KEY FILES]
Evaluate:
1. Separation of concerns — are responsibilities properly distributed?
2. Scalability — will this architecture handle 10x growth?
3. Testability — are components independently testable?
4. Dependency management — are there circular dependencies or tight coupling?
5. One refactoring you would prioritize if you inherited this codebase
Claude vs. ChatGPT: When to Use Which
Use Claude when:
- The task requires long-form, nuanced writing
- You are working with very long documents (100K+ tokens)
- You need precise instruction following without drifting
- You want the AI to be more conservative and less likely to hallucinate
- The output needs to maintain a consistent voice across thousands of words
Use ChatGPT when:
- You need browsing, DALL-E, or code execution
- You want a more conversational, flexible interaction style
- You are using custom GPTs for repeated workflows
- The task benefits from more creative, expansive brainstorming
Next Steps
Now that you understand both leading assistants, compare them with our Gemini Tips guide to see how Google's model fits into the workflow.