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Claude can write your prompts for you (seriously)

Anthropic just dropped a game-changing, free guide on Prompt Engineering, and it’s packed with practical insights. If you want to learn how to write smarter prompts that deliver better results, this guide is a must-read.

Get the complete guide here at Anthropic’s website

What’s inside the guide:

• Prompt Generator: Claude can now generate prompts for you it’s meta, but incredibly effective.

• Use Prompt Templates: Save time and scale your work with reusable templates that make prompt creation a breeze.

• Prompt Improver: Turn “meh” into “magic” by letting Claude improve your prompts think of it as Grammarly for AI.

• Be Clear and Direct: The rule of thumb? Vague prompts lead to vague results. Clear prompts? Magic.

• Use Examples (Multishot Prompting): Show Claude how to think with multiple examples for more precise responses.

• Let Claude Think (Chain-of-Thought): Ask Claude to reason step-by-step for deeper, more nuanced answers.

• Use XML Tags: Take control over Claude’s outputs with precision using XML tags for structure and clarity.

• Give Claude a Role (System Prompts): Assign Claude roles, like “lawyer” or “therapist,” for an instant perspective shift.

• Prefill Claude’s Response: Guide Claude’s responses with a pre-filled structure or tone for a more tailored outcome.

• Chain Complex Prompts: Break down complex tasks into steps, feeding Claude’s output into the next for better flow.

• Long Context Tips: Learn how to feed Claude long documents without overloading it for effective processing.

• Extended Thinking Tips: Push Claude’s thinking further with follow-ups and better iterations it’s all about how you ask.

Prompt engineering isn’t just a skill it’s the key to unlocking more powerful and creative interactions with AI. If you want to start mastering it, this guide from Anthropic is your best starting point. Go dive in and see how much smarter your prompts can be.

ZeroSearch: A Smarter, Cheaper Way to Train AI Models for Search

Alibaba has quietly dropped a major breakthrough in AI training. Their new method, ZeroSearch, slashes the cost of training AI search models by nearly 90% without needing real-time access to external search engines.

Here’s everything you need to know about ZeroSearch:

• ZeroSearch trains AI models through simulations instead of expensive, real-time search queries.

• It transforms a reference model into a pseudo-search engine, cutting reliance on platforms like Google.

• Running 64,000 queries via API cost $586 the same job with ZeroSearch? Just $70.

• This opens the door for smaller teams to build competitive search AI without a giant budget.

• It’s not just cheaper the method also improves reasoning and content generation capabilities.

• The tech powers Alibaba’s Quark app, now China’s most popular AI tool, featuring “deep search.”

• Deep search combines Qwen AI’s reasoning with real-time results for better, context-aware answers.

• Baidu, DeepSeek, and Moonshot AI are also racing to upgrade search AI with similar real-time tools.

ZeroSearch signals a shift not just in cutting AI costs, but in how search engines themselves might evolve. Training smarter models without expensive infrastructure gives startups and small labs a real shot at competing with the giants. This isn’t just a China story it’s the future of scalable AI.

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