The best tricks to improve your prompts in Claude, two types of structure explained by the Claude team itself

Let’s tell you two structures to create better prompts in Claude, explained by the Anthropic team, creators of this artificial intelligence. They are very precise structures for this specific AI, although they will also work well in other alternatives such as ChatGPT , Gemini either Copilot inter alia. This is something more advanced than when we taught you how to improve Claude’s answers in a simple way. This is a lesson in good prompting practices using engineering engineering. promptsthe practice with which to improve the commands you give to applications LLM. Come on, these are tricks to learn how to communicate with an AI more effectively and shape its responses so that they are better, more reliable, and more tailored to the task you want it to perform. We are going to offer you two prompt structures. The first is a simple five step structure. It is perfect for relatively simple or slightly advanced tasks, and we are going to explain it to you in depth. Then there is a structure for much more sophisticated tasks that has ten steps, and in this case we are going to summarize it for you. Five-step structure of a good prompt The best way to communicate with artificial intelligence and with Claude in particular is to know the best structure for a good prompt. These structures are set up to make sure you give you all the information necessary for the AI ​​to correctly understand what you are asking it to do. This is the best structure for a prompt according to Anthropic: One or two sentences to establish the role and description of the task you want me to do. Add dynamic content to contextualize Detailed task instructions Examples of what you want it to do (optional) Repeat critical instructions (especially when you write a very long prompt. 1. Describe the role and task to be performed As you can see, first of all you need to spend some time establishing the role of the AI, saying what role it should play. For example, telling you that you are a high school teacher, or an AI specialized in reviewing accident reporting forms. Along with the role of AI, it is also recommended describe the task to be performed. Come on, this is where you have to tell him what you want him to do by playing the role that you have indicated. These two elements should be the beginning of a good prompt. 2. Add dynamic content to contextualize After describing the task, it is helpful to provide content to better contextualize your task or the content you want me to work on. For example, if you want it to analyze a text, a photograph, or even a web link, you should add it after the description. This content can also be another element that you have obtained from an application, or even from an AI, whether it is a screenshot or something else. The main thing is that add what the AI ​​needs to do what you asked it to do. You can attach several files, but then you will have to describe well what you want it to do with each one. 3. Detailed task instructions At the beginning of the prompt you have told it in summary what you want it to do, and then you have attached the content on which you want it to work. Now, after this introduction you will have to detail task instructions What do you want me to do? This fragment of text becomes the heart of the task you are programming. You will have to tell it what you want it to do precisely, just as if you were telling it to a person so that they understand it correctly without having to ask you anything else. If you have added several images or different types of content for context, you will also have to explain what you want it to do with each of the elements. 4. You can give him examples of what you want him to do When you do not give the AI ​​any example of the result you want it to offer you, it is what is called a Zero-shot or “0 examples”. With this, you will blindly trust that the artificial intelligence model knows how to do the task. However, when you want to obtain very specific results or with a specific formatthen you should explain this with examples. You can use a single example or multiple examples. By doing this, the model will see the examples of the task already classified or solved, and will use that information to generate the new answers. keeping the same response format that you have indicated. The more examples you give, the more precise the answer format will be. This is optional, but in tasks that require a specific type of response it can be very useful. 5. Repeat critical instructions. You’ve started by describing the task, and then you’ve given him a thorough description of each step he must take. But if you’re asking it to do a very complex task with a particularly long prompt, it’s a good idea to at the end repeat the most critical instructions of the task you have asked him to do. This is the equivalent of underlining the most important and vital points of the instructions, something that you think is absolutely vital that you always keep in mind and not overlook it. Advanced prompt structure in 10 steps If the five-step structure isn’t enough for you, Claude’s creators also aim for a 10-step structure. It is like the first one we told you about, but more fragmented to give AI each and every detail what you will need. Each of these steps can be one or several paragraphs in the prompt that we are going to compose. You don’t have to do this every time, normally the previous structure is enough, but for particularly complex tasks can help you. … Read more

We already know how to retrieve the exact prompts that people use in AI models. It’s terrifying news

A group of researchers has published a study that once again raises alarm bells regarding privacy when using AI. What they have managed to demonstrate is that it is possible to know the exact prompt that a user used when asking a chatbot something, and that puts AI companies in a delicate position. They can, more than ever, know everything about us. A terrifying study. If you are told that ‘Linguistic models are injective and, therefore, invertible’ you will probably be shocked. That’s the title from the study carried out by European researchers in which they explain that large language models (LLM) have a major privacy problem. And it has it because the transformer architecture is designed that way: each different prompt corresponds to a different “embedding” in the latent space of the model. A sneaky algorithm. During the development of their theory, the researchers created an algorithm called SIPIT (Sequential Inverse Prompt via ITerative updates). Such an algorithm reconstructs the exact input text from the hidden activations/states with a guarantee that it will do so in linear time. Or what is the same: you can make the model “snap” easily and quickly. What does this mean. What all this means is that the answer you got when using that AI model allows you to find out exactly what you asked it. In reality, it is not the answer that gives away, but the hidden states or embeddings that the AI ​​models use to end up giving the final answer. That’s a problem, because AI companies keep these states hidden, which would theoretically allow them to know the input prompt with absolute accuracy. But many companies already saved the prompts. That’s true, but that “injectivity” creates an additional privacy risk. Many embeddings or internal states are stored for caching, for monitoring or diagnosis, and for customization. If a company only deletes the plain text conversation but does not delete the embeddings file, the prompt is still recoverable from that file. The study shows that any system that stores hidden states is effectively handling the input text itself. Legal impact. There is also a dangerous legal component here. Until now, regulators and companies argued that internal states were not considered “recoverable personal data,” but that invertibility changes the rules of the game. If an AI company tells you that “don’t worry, I don’t save the prompts” but it does save the hidden states, it’s as if that theoretical privacy guarantee is of no use. Possible data leaks. A priori it does not seem easy for a potential attacker to do something like this because they would first have to have access to those embeddings. A security breach that results in the leak of a database of those internal/hidden states (embeddings) would no longer be considered an exposure of “abstract” or “encrypted” data, but rather a plain text source from which, for example, financial data or passwords that a company or user has used when asking the AI ​​model could be obtained. Right to be forgotten. This injectivity of LLM also complicates the requirements of regulatory compliance for the protection of personal data, such as the GDPR or the “right to be forgotten.” If a user requests complete deletion of their data from a company like OpenAI, they must ensure that they delete not only visible chat logs, but also all internal representations (embeddings). If any hidden state persists in any register or cache, the original prompt would still be potentially recoverable. Image | Levart Photographer In Xataka | OpenAI is making the tech industry unite its destiny with yours. For the sake of the global economy, it better work

has launched the Excel and Word that are controlled with prompts

Microsoft is trying to transfer the phenomenon of ‘Vibe Coding‘ – Write apps without knowing how to program, only with instructions to a chatbot – to office work. The bet is that anyone can do in minutes what I used to require hours of a junior consultant, without dominating Excel formulas or writing techniques. Agent mode In Excel, use OpenAI reasoning models to break down complex tasks in executable steps, as if an expert worked with you. Office Agentbased on Anthropic models, creates PowerPoint presentations and Word documents directly from Copilot chat. The company says that agent mode in Excel reaches a 57.2% precision in Spreadsheetbench, surpassing Chatgpt agent and Claude Opus 4.1, although below 71.3% of human precision. The context. Microsoft has been integrating the Office for months, but so far it was limited to specific assistance functions: summarize, rewrite, respond. Agent Mode and Office Agent mark a qualitative leap: IA assumes multipurpose tasks that previously required specialized knowledge. Use OpenAI models for agent mode within the applications and anti -appoal applications and models for Cat in the chat. This division speaks of a certain diversification: Microsoft had already incorporated the Anthropic in Github co -ilot and Copilot Studio A few days ago Summit Chauhan, from Office, summarize it like this: “It is a job that a first -year consultant would do, delivered in minutes.” Yes, but. The 57% accuracy in spreadsheet tasks leaves a considerable margin of error. Microsoft emphasizes that the results are auditable and verifiable, but still require human supervision for sensitive cases. In addition, Agent Mode is only available in the Excel and Word web versions in the launch. The support for desktop applications will arrive “soon”, according to the company. Office Agent, meanwhile, is limited to users in the United States. The cloud services dependence also raises questions: Anthropic operates its API about AWS, Azure rival. This would explain why their models are not yet really integrated in Office desktop applications. Between the lines. Microsoft presents this as democratization of access to expert capabilities. But it is also a way to justify subscriptions of Microsoft 365 Copilot. The relevant thing is that Microsoft is betting on AI doing heavy work while the user “guides and directs.” That is, the user goes from “doing” to “ask to be done.” What has already seen in programming, above all. And there is another reading: if Agent Mode can do in minutes what he had been having been implicitable for hours before for hours. The question is what happens to who before that job. Specifically, with the Junior. Microsoft has designed this for the process to be visible: the user sees what is doing in each step, as if observing an automated macro in real time. At stake. Microsoft competes against Google Workspacewhich also integrates generative in Docs and Sheets. But above all Now also competes against independent tools such as Notion AI, Gamma or Beautiful.AI, which promise to create presentations and documents from scratch without the need for Office. Microsoft’s advantage is domain: one billion people use office every month. If you get Agent Mode to work well, you don’t need to convince anyone to change tool. Just update your subscription. In Xataka | IBM’s ghost: Satya Nadella’s great challenge is to prevent Microsoft from ending up a technological fossil Outstanding image | Microsoft

The best PROMPTS to save working hours and do your homework with Chatgpt, Gemini, Copilot or other artificial intelligence

Let’s tell you a series of prompts for Save work hours using artificial intelligence To perform your homework. In the examples we are going to use chatgpt, but they are prompts that should also serve you with other AI, such as Gemini, Copilot, Deepseek or any other. In each of these examples we will give you both the explanation of what you are going to get as the prompt to do so. These prompts are generic, it is not copy and paste, since in many cases you will have to modify them to specify what you want me to do to you. They are like templates, go. Learn concepts in the simplest way This is one of the most classic and veteran tricks of artificial intelligence, that of Ask him to explain something as if you were 5 years old. You can also modify it to explain it to another level, as to a person of another age like 12 years in the event that you need something slightly more advanced. Sometimes you can find terms and concepts difficult to understand, and When someone tries to explain it you may stay the samein the same way that when you read explanations you cannot finish understanding it either. This is where this prompt comes into play, with which you will save a lot of time trying to understand it by reducing the explanation to the lowest level: “Explain to me the theory of relativity as if I was five years old” And if this is not enough, you can also ask for extra context: “Explain to me as if I had the theory of relativity five years and why it was so important for history.” Check texts before sending or publishing them In the event that you work by writing texts, or that you have to review a job you have written, you can also Ask the AI ​​to check your writing To find spelling failures. It can also help you with grammatical errors or typographic failures of those that can be escaped to all. The way of proceeding is first to give the instruction, and when the OK you hit the full text. “I’m going to send you a text and I want you to review it, and tell me the spelling and typographic errors that I have” In addition to this, you can ask you to do a more thorough analysis, taking into account other aspects: “I’m going to send you a text and I want you to review it, and tell me the spelling and typographic errors that I have. I also want you to tell me the words that I have repeated too much, and that you tell me how to improve it.” Change the tone of your writing Imagine that the problem is no longer so much in the text and spelling as in the way you have expressed yourself. Maybe you have been more colloquial when it should be a serious or professional text, and here there is little to do beyond rewriting everything. However, another thing you can do is present the text to ChatgPT and Ask him to rewrite him by changing the tone in which it is written. Again, it is best first to give the order and when I tell you that ok then hit the text. The prompt would be something like this: “I’m going to send you a text, and I need you to analyze it and rewrite it in a much more formal tone” As you can understand, you can modify it to specify a different tone. You can also add any detail or thing that you think you should take into account when rewriting it. Use AI as a translator Another of the important functions of artificial intelligence is that can act as a translator. In addition, in many cases IA can surely translate better than tools such as Google Translator, and you can write very long texts to translate them. “I’m going to send you a text in English, and I want you to translate it into Spanish from Spain” Another of the advantages when using AI as a translator is that you can customize the way you want translations to be made. You can take advantage to change the tone, so that it makes you corrections, or even simply ask that the translation is natural for a Spanish reader. Create exams to test your knowledge Imagine that you are getting the driving license or you are opposing, and you need test your knowledge. For this you can search for pages with tests on the Internet, but you can also ask Chatgpt to do a test on a specific topic. Here, just remember that artificial intelligence bots can make mistakes, and it is possible that not all questions or the tests of the test are true. However, despite it is or remains a very interesting tool that should be taken into account. So you can ask you to take the exam “I am an opponent and to practice for my exam I need to improve my knowledge about a law. Could you ask 30 test questions about Law 39/2015, of October 1, of the common administrative procedure of public administrations?” After asking for the exam, you can also ask to tell you what questions are correct and reason why. “Now you can explain what is the right option in each of the questions, and why?” Create study sheets Another useful thing for students is Create study sheets or flashcardswhich are small basic data cards that help you memorize concepts, formulas or dates. They can be very useful for studying for an exam and need to memorize key data. “I want you to do a study tab or flashcards to learn about relativity.” It also helps teachers Beyond the exams to test, if you are a teacher you can also use AI to Create exams for your classes. It is true that perhaps it is not … Read more

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