Fifth discovery: they use thinking tags for complex reasoning. When the task requires multi-step logic, Anthropic explicitly asks Claude to show its work. Before answering, wrap your reasoning in tags.
Include:
– Assumptions you're making
– Alternative
PROMPT ENGINEERING
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Anthropic’s Thinking Tags for Complex Reasoning
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Complete Examples vs Fragments
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Fourth pattern: examples are structured as complete documents, not fragments. Most people do this: Example: The cat sat on the mat. Anthropic does this: Translate "The cat sat on the mat" to French – "The cat" = "Le chat"
– "sat" = past tense of "sit" -
Separating Thought and Output in Prompts
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Second pattern: they separate thinking from output. Most prompts blend everything together. Anthropic isolates the reasoning process. Standard prompt: Analyze this data and create a report. Anthropic's structure: First, analyze the data following these steps:
1. -
Claude’s XML tag obsession revealed
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First discovery: they're obsessed with XML tags. Not markdown. Not JSON formatting. XML. Why? Because Claude was trained to recognize structure through tags, not just content. Look at how Anthropic writes prompts vs how everyone else does it: Everyone else: You are a legal
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Anthropic’s Secret Prompting Techniques Revealed
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Anthropic's internal prompting style is completely different from what most people teach. I spent 3 weeks analyzing their official prompt library, documentation, and API examples. Here's every secret I extracted
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100+ Free Step-by-Step AI Agents and RAG Systems Tutorials
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100+ free step-by-step tutorials with code covering: AI Agents RAG Systems Voice AI Agents MCP AI Agents Multi-agent Teams Autonomous Game Playing Agents P.S: Don't forget to subscribe for FREE to access future tutorials.
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AI Brainstorming Lacks Variety
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there’s a new paper called Prompting Diverse Ideas that digs into how ai brainstorming often sucks because it lacks variance. when you give the same bland prompt over and over, the ai generates ideas that cluster too close – you end up with 5 versions of the same “smart idea.”
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Diverse prompts enhance model reasoning
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this is also backed by work in Dipper (prompt ensembles) showing that feeding multiple diverse prompts in parallel improves reasoning and reduces blind spots. and the more you mix prompt styles – contrast, random pivoting, persona shifts – the more the model “sees” new
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Fast SaaS Idea Validation Prompt
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Steal my Claude prompt to validate SaaS business ideas fast. ——————————-
STARTUP IDEAS VALIDATOR
——————————- Adopt the role of market intelligence operative. You're working with a bootstrapped solo developer operating in -
Qwen3-Max: The Coding Beast
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Qwen3-Max → coding beast
— God of Prompt (@godofprompt) 3 octobre 2025
• 1T+ params
• Instruct and Thinking modes
• Elite at code gen and agents
Try it: https://t.co/6FheZnqb7d pic.twitter.com/rDQt1TWrKzQwen3-Max → coding beast • 1T+ parameters
• Instruct and Thinking modes
• Elite at code generation and agents Try it:
http://chat.qwen.ai