If the question is “How to make a good prompt for AI”, Anthropic has just given us his guide

Anthropic, the creator of Claude, has published its definitive guide of Prompt Engineering. A free Bible that synthesizes years of research in practical techniques to get the most out of Claude.

Why is it important. The majority of users barely scratch on the surface of what the generative AI can do, leaving below even what could benefit in their day to day, even if they are not engineering uses.

The panoramic. The guide covers from the foundations to the most sophisticated. From how to be clear and direct in a request to advanced techniques such as Multishot Prompting or the chains of thought.

Culminates with strategies such as the chain of Prompts complex And all enlightened with real examples of Claude.

In detail. The nine central techniques of this guide function as a ladder:

1. Clarity and direction. Say exactly what you want. Prompts Vagos produce vague results.
2. Various examples. It shows Claude how to think with several cases of use.
3. Thought chains. Ask Claude to think step by step before answering.
4. XML Tags. Structure the answers with greater precision.
5. System roles. The classic “You are a lawyer”, “You are a data analyst”, etc. To change the chatbot perspective.
6. Prellenate of answers. Guide the tone and format starting the answer.

The context. Anthropic explains that many of the problems with generative AI are solved with better Promptsnot necessarily with more powerful models.

This is an attempt to democratize techniques that they only knew somewhat more advanced developers. Open the guts of what they know it works.

For example. The guide includes concrete examples:

• Instead of ‘Create a Dashboard’, he writes ‘creates a complete analytical analytical dashboard with interactive graphics and filters’.
• For code Frontendadds specific modifiers: “Includes soft transitions, micro -interctions and visual effects that demonstrate advanced web development capabilities.”
• And for complex tasks, the guide recommends using XML labels as to structure Claude’s thought.

The difference is in specificity: say exactly what you want produces much better than vague instructions. The AI ​​returns you what you give.

Yes, but. There is an important nuance: this guide assumes that you already have clear success criteria and ways to evaluate results.

Without that base, even the best Prompt It is a shot in the air.

And now what. For developers, this is gold. For the user something else casual, It is worth dominating at least the first techniques for minimizing hallucinations and improving the results.

He Prompt Engineeringthat some time ago it seemed a kind of black magic to invoke in a mystical way, it is every time a skill that can be learned, measured and better perfect.

Outstanding image | Xataka with Mockuuuups Studio

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