What is Gemini Spark, what you can do with it, how it works and who can use it

Let’s explain to you What is Gemini Spark and how does it work?the new function of artificial intelligence integrated within the application Gemini. This is a response by the company to OpenClaw and others AI agentsbut aimed at helping us manage our digital life. The idea is not so much to do things for us on the computer as to be able to carry out online tasks autonomously, and even when our mobile phone or computer is turned off. We are going to explain this concept to you so that you understand it well, and then we will tell you how it works. What is Gemini Spark Gemini Spark is an artificial intelligence agent created by Google, and integrated into the Gemini application. AI agents are artificial intelligence systems capable of carry out actions autonomously. You ask them to do a task, and they carry out all the steps interacting with third-party services without the need for your supervision. Come on, it’s like a secretary who does tasks for you. In the case of Spark, it will be able to reason based on what you ask of it and the information it obtains from your connected applications. With this, then will take actions on your behalf interacting with these services. With Gemini Spark you can assign it a task and it will start working on it autonomously, even with your phone and computer turned off. And as one of the aspects that always worries security agents, Google assures that Spark is designed to consult you before taking important actions. Come on, you will have the final decision in these things. Spark can be working in the background 24 hours a day, seven days a week when you ask it to do something. It runs on the Gemini 3.5 model, uses the Antigravity harness, and integrates with Google Workspace tools such as Gmail, Slides, Docs, and all the tools in the company’s office suite. The difference with the normal Gemini is the following. AI chatbots require you to have it open for it to do things. Then, you ask them to do something, they respond and do it, and that’s it. The session ends there. Spark for his part maintain a persistent presence in your apps and digital environment, when you give it the order it can work in several steps and continue doing it in the background while you do other things, or while you sleep. How it works and what you can do with Gemini Spark Gemini Spark doesn’t live inside your device, but on dedicated Google virtual machines. This is what makes keep running in the background even if you close your laptop or lock your mobile. It connects to Gmail, Docs, Slides, and other Workspace tools with structured API integrations, making it more predictable than agents navigating the desktop pixel by pixel. This agent can connect natively with Gmail, Calendar, Drive, Docs, Sheets, Slides, YouTube and Google Maps. It is important that you know that these connections are disabled by defaultand you will be the one who decides which of them you want to activate to work with Spark. Spark can use a remote browser to leave the Google ecosystem. This way, they can enter a website and interact with it to perform tasks such as adding products to a shopping cart on your behalf. This tool will be able to do complex jobs for you. You can set recurring tasks to be done as often as you decide, teach it new skills, and let it execute multi-step jobs on your behalf. You can also organize your Google Drive files, even adding them to a spreadsheet by adding tags and notes. It can also automatically extract data from emails, create folders in your Drive cloud, etc. You can also teach it personalized behaviors or “Skills” to repeat, such as reading your last 50 emails sent, generating a style guide with your writing style and applying it when you ask it to write an email, and more. Another thing you can do is configure schedules to organize tasks with schedules or when conditions are met. For example, you can ask that every Monday at nine in the morning scan your inbox and summarize your emails, propose a list of priority tasks, or block gaps in your work calendar. You will also be able to create written documents or presentations from a prompt in tools such as Docs or Slides. It can review events, respond to invitations or schedule calendar meetings, convert email chains into a travel plan, record expenses in a spreadsheet, analyze past bills to anticipate future household payments, add recurring reminders, browse websites and compare options, help you complete reservations, and much more. The most important thing is that all this is going to do under your supervision. It’s as if Spark were an employee, who will send you updates on steps it deems critical, and will require your explicit approval to perform high-risk actions, such as sending emails. Who can use Gemini Spark Gemini Spark is part of the Google AI Ultra subscription. This means that if you want to use it you will have to go for the most expensive subscriptionwhich in Spain means paying a minimum of 100 euros per month. Additionally, Spark can only be used in the United States at the moment, because It is a tool that is still in beta phase. There is still no confirmation on when it will reach other languages ​​and countries, although when it finally arrives it will be able to be used on Gemini websites and apps of Android and iOS. They also plan to integrate it directly into Chrome in the future. In Xataka Basics | 64 free courses for AI with Claude, ChatGPT, Gemini and Copilot created by your own companies

OpenClaw led the way for AI agents. Gemini Spark is Google putting a toll on it

In January of this year the technological world was amazed by OpenClaw (at that time Clawdbot), the most powerful AI agent that we had seen to date, capable of taking total control of the computer and everything open source. Technology companies took good note of this and some like Pereplexity or NVIDIA They have set out to copy it. Google just joined the party. Gemini Spark. This is how they have named this personal agent based on Gemini Flash 3.5 that, in the words of Google itself, “helps you manage your digital life.” With Gemini Spark you can assign it a task and it will start working on it autonomously, even with your phone and computer turned off. Google emphasizes the issue of security, which was a major concern with OpenClaw, and says that Spark is designed to “consult you before taking important actions.” What Spark can do. Because it’s integrated with all Google Workspace tools, Spark can perform complex tasks like making a document with a party’s attendee list from the information you receive in email. You can also schedule recurring tasks, like reviewing your bank statement at the end of the month for strange charges, organizing your drive files, or creating workflows from meeting notes. Who can use it. Here comes the main difference with OpenClaw and that is that Gemini Spark is obviously not free. Google has confirmed that its new agent will be part of the Google AI Ultra subscription. In Spain that means paying a minimum of 100 euros per month (there is a 220 euro plan with more features and storage), but even if you want, you won’t be able to try it because at the moment it will be launched in beta version only for US users. At the moment there is no confirmation of when it will reach other languages ​​and countries. When available, Gemini Spark can be used on Android, iOS and in the web app, but they have also talked about integrating it directly into Chrome. Why is it important. The viral success of OpenClaw earlier this year showed us how far a single person can go with a good AI idea, and how short-lived that sweet moment was. Not even three months had passed when OpenAI signed its creator and shortly after we began to see large companies copying the idea. Perplexity with Personal ComputerNVIDIA with NemoClaw and now Google with Gemini Spark. A single open-source project has set the agenda of an industry that has swallowed it in the blink of an eye and returned it to us in the form of a monthly subscription. Image | Google In Xataka | An AI set up a cafeteria from scratch: obtained permits, hired staff and negotiated with suppliers. Then he ordered 3,000 rubber gloves

Gemini Intelligence promises to be Google’s AI revolution. The problem is that almost no one will be able to use it.

Updates have always been Android’s Achilles heel, but for several years we have seen how manufacturers are pushing to offer up to seven years of updates on your mobiles. It is good news for users and regulators. The problem is that AI threatens to introduce a new form of fragmentation: having an updated mobile phone no longer guarantees access to the most important functions, even if it is high-end. What has happened? A few days ago, during the Android Show, Google announced the new star feature coming to Android: Gemini Intelligence. We are no longer talking about specific functions, but rather about a layer of AI that covers everything, making the mobile phone act autonomously within the system and the apps. It sounds great, what doesn’t sound so good is the list of requirements. Hardware requirements. Google has detailed the minimum requirements for a mobile phone to run Gemini Intelligence and it is quite not encouraging. We are talking about devices with 12 GB of RAM and that mount recent “flagship” processors. These requirements directly leave out the majority of the current vehicle fleet, but also at the current time with the memory crisis raising pricesthe high-end is going to become even more unattainable. The real problem. If the RAM and the processor already leave out many mobile phones, the software requirements are even worse. This is where Google makes the real difference since, to run Gemini Intelligence, compatibility with Gemini Nano V3, the local language model for mobile phones, is necessary. If we look at the current compatibility list, it is no longer that it affects cheap phones, it is that it also leaves out phones like the Samsung Galaxy Z Fold7 which was launched in the summer of 2025 and cost 2,109 euros, or the Xiaomi 17 Ultra which has just been launched for almost 1,500 euros. It is not clear that the list is definitive, since it is possible that there are changes because they allow it to be updated later, but for now the outlook is bleak: The list of devices compatible with Gemini Nano v2 and Gemini Nano v3. Image: Xatakamovil There is still more. The software requirements don’t end here. Google has also put several additional conditions for a device to have Gemini Intelligence. The device must receive at least five years of operating system updates and six years of security patches, in addition to meeting a series of quality requirements regarding stability, failure rate and multimedia, among others. The privilege of AI. “The best of Gemini in our most advanced devices” is the phrase we find in the Gemini Intelligence official websiteso Google already warns us from the beginning. That updates or more advanced functions reach the most expensive phones is something we are used to, but with AI we are seeing the bar rise even higher. Furthermore, it is not a specific function as it was ARCorewe are talking about the central axis of the proposal, a new way of interacting with the mobile that only a small percentage of users will be able to test, including those who have a Google Pixel. Cover image | Google In Xataka | Android 17 news: list with a summary of everything that will arrive in this version of the operating system

Gemini Omni wants to do with video what Nano Banana did with images: Google is aiming very high

Creating an image with AI is no longer as surprising as before. What begins to make a difference is the ability to modify it, give it continuity and turn an initial idea into something more elaborate without losing the thread along the way. In video, that challenge is much greater: there is movement, time, physics, and characters that must continue to appear coherent. Gemini Omni comes with the promise of addressing this problem and making editing a much easier task. Google DeepMind itself asks to think of Gemini Omni as in Nano Bananabut for video. The reference makes sense because Nano Banana was Google’s image generator that took visual creation with AI to a very striking scale. The first version, released in August 2025, added 13 million users in four days and had generated more than 5 billion images by mid-October. Google now introduces Gemini Omni Flash as the first model in the Gemini Omni family. According to the company, it is designed to create content from any entry. The idea is that the user can combine images, audio, video and text as a starting point to generate high-quality videos supported by Gemini’s real-world knowledge. A video generation model that is committed to coherence The most interesting part is how Google describes the editing process. It is not only proposed as a tool to generate a clip from scratch, but as a system capable of working on a scene using chained instructions. The company talks about changing specific elements or completely transforming a starting video, adjusting aesthetics, action, environment, angle, style or specific details. It also promises to maintain character consistency, preserve scene continuity, and offer more coherent physics. In his note, he shows how Gemini Omni can start from a scene and modify it with direct instruction, whether to change the material of an object, alter an action, or turn a complex idea into a visual explanation. Let’s look at some examples of prompts. “Make the sculpture out of bubbles” “When the person touches the mirror, make the mirror ripple beautifully like liquid, and the person’s arm turns into reflective mirror material” “Claymation explainer of protein folding, everything is made out of clay, no hands, stop motion, accurate” At Xataka we have done orna first test with a recognizable image: Puerta de Alcalá, in Madrid. The starting point was a static photograph and the prompt we used was the following: “Create a video from this image. Cars are moving forward and people are walking.” (Create a video from this image. Cars move forward and people walk.) The idea was to see to what extent Gemini Omni could turn a real scene into a small moving clip. In the video above you can see precisely that attempt to animate the original imagewith cars moving forward, pedestrians walking, and ambient sound that fits the scene. It also appears to retain some visible branding elements on the vehicles, especially the Mercedes-Benz logo, although in other cases, such as Fiat, the result is less clear. Let’s talk about availability. Google ensures that Gemini Omni Flash begins to reach Google AI Plus, Pro and Ultra subscribers through Gemini and Google Flow, while its deployment at no cost in YouTube Shorts and YouTube Create App launches this week. In our test with a corporate account, however, we found ourselves with a fairly tight limit: after generating three videos, the system warned us that “we had reached our video generation limit until May 20 at 7:59 p.m.” It is not too surprising if we think about what is happening below: creating video with AI requires a lot of resources, so everything indicates that Google would be dosing access, at least in this first phase. When we talk about video generation with artificial intelligence, it is likely that one of the first names that comes to mind is sora. It arrived like one of the great promises of OpenAI for this terrain. The route, however, ended up being much shorter than that initial ambition suggested. Its website and app were no longer available at the end of April 2026.although the API will continue to work until September 24. Images | Google | Xataka In Xataka | There is a battle to have the AI ​​model that programs best. And a good, pretty and very cheap rival has appeared in it: Cursor

How to create a pack of Chibi stickers from your photo with Gemini or ChatGPT and then use them on WhatsApp or wherever you want

Let’s explain to you how to create a “Chibi” style sticker packthat Japanese style in which a face is caricatured with a big, adorable head. Let’s do this using artificial intelligenceand a prompt that you will be able to use both Gemini as in ChatGPT. Once you have generated your sticker packall you have to do is cut out each one of the image and use it as you want. For example, you can use the methods we have told you to convert any image into sticker directly on WhatsApp. The positive part of the prompt that we are going to tell you is that it will make you a series of stickers defined with pre-established expressions that you will be able to edit together with the prompt. And although it was created by OpenAI for ChatGPT, you can use it by hand both in this and in any other AI that generates images, such as ChatGPT. Create a sticker pack from your photo To create a sticker pack from your photo, you first have to upload a photo in which your face can be seen well and your features. If it’s a selfie, better, because then the AI ​​can use your features to compose the pack. Once you have attached your photo to the ChatGPT and Gemini writing field, write the following prompt. You have to send both things at the same time, the photograph and the prompt. The command to use is the following: Using the uploaded photo, create a pack of adorable, illustrated chibi stickers. Clean white background, vertical format with a thick white border. Create various tender expressions: laughing, crying, sleepy, surprised, confused, eating, grumpy, cute expressions… Each expression must include a tender text, for example: Good morning! Whatee? / Huh? / I remind you! / What a dream / Wow! Approved! / Brilliant! / Hey, you! Achís! / Angry! / Huh??? / Good night :3 / Too cute / Am I cool now?! Once you send the image along with the prompt, AI will create a set of stickers from your photograph, and it will put them all into a single image. Now all you have to do is digitally cut out each one and use it to generate your sticker for your messaging app. In Xataka Basics | How to create a character in ChatGPT and Gemini to use it in all the images you make with artificial intelligence

Claude, Gemini and ChatGPT are not supposed to be used in China. It is supposed

In China there is what is popularly known as the “Great Firewall”a large security wall that prevents its citizens from accessing certain services. At the same time, there are foreign companies that block their services in China, this is what is happening with AI tools like ChatGPTbut the law is made, the trap is made. Gray market. They tell it in South China Morning Postthere is a whole flourishing market of services that promise to provide access to American AI models, such as Claude or Gemini, avoiding the restrictions imposed on both sides of their borders. On online sales platforms such as Taobao or Xianyu, unlimited subscriptions to Claude Code, Gemini and ChatGPT are sold with low latency and without VPN. These platforms have become a solution for Chinese developers who want to access American models to program, debug or use multimedia generation services. How they do it. Access is done through what is known as ‘shadow APIs’ which, in essence, is an intermediary. What they do is set up proxy servers outside of China and divert all user requests there, so that those external servers are the ones that actually call the official APIs of models like Claude or Gemini and then return the “masked” response as if it were a local service, without the need for a VPN or foreign payment methods. It pays for them. According to the developers cited in the South China Morning Post piece, they resort to these ‘shadow APIs’ because they simply consider them to be tools that are clearly superior to the local offering. This translates into more precise code, fewer hallucinations and less time correcting bugs than with Chinese models which, according to what they say, still invent functionalities or fail more often. In addition, these services give them almost complete access to models like Claude Opus or Gemini, with huge context windows (up to a million tokens), without having to fight with VPNs or foreign payment methods. Wiles. All that glitters is not gold and there are also advertisements that do not fulfill what they promise. Some of these services advertise full access to models like Claude, but are actually processing requests with cheaper Chinese models like Qwen or MiniMax. Additionally, there is the risk to privacy as all traffic goes through an anonymous intermediary who could do whatever they wanted with often sensitive data. Frontier Model Forum. Is a coalition formed by several AI companies dedicated to the security and regulation of border models, but in practice it is functioning more as an intellectual property defense mechanism. Recently OpenAI, Anthropic and Google announced that they were working together to curb copying of their models by coordinating the sharing of suspicious usage patterns and distillation attack detection techniques through this common forum. Image | Xataka In Xataka | The center of gravity of mobile photography has moved to China and OPPO is going for the throne with the Find X9 Ultra

its recipe mixes Android, Gemini and premium design

The laptop market had long been divided into quite recognizable territories: Chromebook as a simple and economical option, the most affordable Windows laptops, where concessions often have to be accepted, and premium equipment playing in another price league. That photograph has begun to change with the MacBook Neoa proposal that has helpedto boost Mac sales. Google seems to have read that move well. Googlebook It seems to want to move right there: into the gap of those looking for something more ambitious than a traditional Chromebook without necessarily entering the logic of the most exclusive laptop. Google itself knows well where this story comes from. In his statement he recalls which introduced Chromebooks more than 15 years ago as laptops designed for a cloud-first world, a formula that found its place and continues to have a journey. The point is that that approach was born for a very specific stage of personal computing: fewer local applications, more browsers and more online services. Googlebook wants to fill the gap that Chromebooks never finished conquering Now, Google has decided to show Googlebook before there are specific products in stores. For now, what we have is a first window into the experience, not a list of specific models. The company does make it clear that the first devices will arrive in the fall, when Google promises to share more details with its partners. Regarding the latter, we find names already known from the Windows world, such as Acer, ASUS, Dell, HP or Lenovo. The nuance is in the operating system. Google does present the Googlebook as a proposal that mixes the best of Android and ChromeOS, but it has not yet said clearly what software will power these laptops. There appears an interesting doubt: it could be Android, but also the rumored Aluminum OS, which would have been leaked in an image just before the presentation. At this point, it’s time to wait. Google insists that Googlebook has been designed from the beginning so that Gemini Help appears where it makes sense, not as a separate app that the user must open each time. The best example is Magic Pointera feature created with Google DeepMind that turns the cursor into a gateway to contextual suggestions. If we point out a date in an email, it can suggest creating a meeting; If we select two images, such as a living room and a new sofa, it can help us visualize them together. The promise is easy to understand, although now it remains to be seen how far it goes in real use. That same logic appears in Create your Widget, another of the functions that Google has advanced for Googlebook. The idea is that we can create custom widgets with a simple request, without having to search for a specific application or assemble the desktop by hand. Google gives a fairly clear example: a family reunion in Berlin in which Gemini brings together flights, hotels, restaurant reservations and even a countdown in a single panel. The iFull Android integration that idea of ​​continuity between devices. It’s not just about syncing notifications or sharing files, but about being able to use phone apps directly from your laptop when it makes sense. Google cites simple cases, such as ordering food or completing a Duolingo lesson without leaving what we are doing on the computer. Quick Access adds an equally practical layer: access your mobile files from the Googlebook file explorer, search for them and insert them without intermediate steps. Google also wants the Googlebook to be recognized before opening any applications. The company talks about “premium materials and finishes”, a formulation that points to a more careful construction, although without yet going into details. He does anticipate that there will be different formats and sizes, something logical if the proposal is in the hands of several manufacturers. The common element will be the Glowbar, a light bar that Google describes as “functional and beautiful,” and that seems designed to give these laptops their own visual identity. Everything indicates that Googlebook was born to dispute a conversation that until now has eluded Google and, to a certain extent, also Windows. The proposal seems to go towards a careful experienceconnected to mobile phones and prepared for AI in a time zone where price, design and ecosystem are becoming increasingly important. Now we have to wait to see if that promise becomes something real. More details on materials, pricing, and other features are on the way. Images | Google In Xataka | Samsung Galaxy Book6 Ultra, review: Samsung has finally built the Windows laptop that Apple never created

It’s called Gemini Intelligence and it wants to change how we use our mobile phones

Google just introduced Gemini Intelligence in The Android Showthe great event dedicated to the green android operating system. The name, which inevitably reminds Apple Intelligencemakes it quite clear where the news is going: artificial intelligence. But here we are not just talking about creating emojis or generating images, but about something more ambitious, at least on paper. The company wants to change the way we use our devices. So how does that promise hold up? Google assures that Gemini Intelligence will allow us to automate tasks, as can be seen in the example shown during the event and included in the cover image, reading the information that appears on our screen and interacting with it. It will also arrive with a navigation assistant for Google Chrome, make it easier to fill out forms, and update Gboard to help us shape our thoughts out loud. Let’s see in a little more detail what each new feature consists of. Everything Gemini Intelligence brings to Android Google says it has been working on automation features for months alongside several popular food and transportation apps. The goal is for Gemini Intelligence to be able to take care of certain tasks for us, not just answering questions, but acting within the device and some compatible applications. “Gemini takes care of the logistics so you can enjoy the moment,” the company says. These are some of the examples that Google has shared: Reserve a bike in the front row for a spinning class Find a class program in Gmail Add to cart the books you need Gemini Intelligence may also use the context of the screen or an image. The company proposes, for example, an open shopping list in a notes application. In that scenario, it would be enough to press and hold the power button to activate Gemini Intelligence and ask it by voice to create a shopping cart with those products. In theory, the system would take care of it. Another example is photographing the poster for an activity and asking them to search Expedia for a similar tour for six people. Another important piece of Gemini Intelligence will be in Chrome. Google wants to make its browser on Android smarter starting at the end of June, with Gemini built in to help us research, summarize information, and compare content on the web. It is not just about reading a page and returning a summary, but about accompanying us in tasks that normally require jumping between several tabs or services. In addition, Chrome will incorporate a function called auto browse, aimed at more mechanical tasks. Google gives examples of booking an appointment or a parking space. On paper, it is another step in the same direction: less manual interaction and more capacity of the system to take care of specific procedures. Android autofill will also take a leap with Gemini Intelligence. So far, Autofill with Google has mostly served to save time in basic fields, but Google wants to take it further. The feature will be able to take advantage of Gemini’s personal intelligence to fill out more fields within apps and Chrome, even when forms are longer or have small boxes spread across the screen. The promise is simple: that filling out forms from your mobile will no longer be such a burdensome task. Android may use relevant information from connected applications to fill in that data for us. In any case, Google emphasizes an important point: this integration will be strictly optional. Each user will decide if they want to connect Gemini with Autofill, and that connection can be activated or deactivated from the settings. Gboard will also be updated with a new Gemini Intelligence feature called Rambler. The starting point is quite recognizable: Android already allows you to quickly convert voice to text, but we don’t speak the same way we write. We correct ourselves as we go, we repeat ideas, we leave half-sentences or we fill in the gaps with fillers. Rambler wants to take care of just that. The idea is that you can speak naturally, without having to construct the perfect sentence before starting. The system will take the important parts of what you say and organize them into a clearer, more concise message. Google ensures that Gboard will clearly show when Rambler is activated and that the audio will only be used to transcribe in real time, without being stored or saved. In addition, Rambler will be designed for multilingual conversations. Thanks to Gemini’s advanced model, you will be able to change languages ​​within the same message and understand the context even if we mix several languages. Google uses a combination of English and Hindi as an example, but the idea is broader: that the message still sounds like us, just a little more polished. 10 GOOGLE APPS THAT COULD HAVE SUCCESSFUL Which phones will be compatible with Gemini Intelligence Google has made it clear that Gemini Intelligence will be an exclusive function of Android phones, something that we could already imagine due to its characteristics. Nothing about an application that allows you to use some of its new features on the iPhone. Now, even within the Android ecosystem, its deployment will also be limited: it will be focused on the “most advanced devices” and will arrive in phases. According to official information, Gemini Intelligence will first arrive on compatible Samsung Galaxy and Google Pixel phones as early as this summer. Later, at the end of the year, it will also land on other devices, such as smart watches, cars, glasses and laptops. In development. In Xataka | Anthropic does not offer its services in China. So China has invented a black market for Claude tokens

How to prevent AI from always being right by default and thus make Claude, Gemini and ChatGPT have fewer hallucinations

Let’s tell you how to prevent AI from agreeing with you by defaultmodifying your attitude to be less accommodating. In this way, by not making an effort to please you, you will get the artificial intelligence make fewer mistakes and hallucinations. To do this, let’s compose a prompt that you must add in the configuration of the artificial intelligence you use, and which serves both Claude as for ChatGPT , Gemini or any other. It will be a prompt which we will add in the AI ​​behavior configuration so that it always takes it into account. However, remember that this will not completely eliminate the hallucinationsbecause making things up is relatively normal in AI. However, since the response will not always be directed towards agreeing with you or pleasing you, you will make them reduce it a little. Of course, another thing to keep in mind is that by doing this the user experience will change. AI can get a little “edge”because you will no longer laugh thank you. Sometimes it will tell you that an idea is bad or that you are wrong, and that will not be a failure, but will show the success of the prompt. A prompt for a less complacent AI To make your AI less complacent and verify information moreyou will have to go to the settings of the one you use and go to the custom instructions section to change its behavior. There you will have to write this entire prompt, which is quite long: Always be honest, direct and rigorous. Your goal is not to please me, but to be accurate. ACCURACY AND VERIFICATION Before answering, do an internal check: is it a verified fact or an inference? If you don’t know, say so. Do not invent data, dates, names or sources. If you’re inferring or not 100% sure, use phrases like “It’s likely that…” or “My information suggests…” instead of outright statements. ANTICOMPLACENCY (Zero Bias) Don’t give me reason by default. If my premise is false or my question is misdirected, correct me before executing the task. Eliminate unnecessary polite phrases (“Sure!”, “I understand,” “Excellent question”). Get straight to the point. If my proposal has logical or technical flaws, criticize it constructively but crudely. NEUTRALITY AND DEBATE On topics with multiple points of view, present the mainstream in a balanced way, even if my question seems to seek a biased answer. AUTO CORRECTION If you spot an error in your text generation, stop and correct it immediately. PREVIOUS THOUGHT For complex queries or questions with verifiable data, briefly reason out loud before answering. For simple queries, go direct. These instructions apply to all types of queries: creative, technical, factual or personal. How to add the prompt to ChatGPT On ChatGPTyou have to enter the settings of your website or application. Once inside, go to the section Personalization. You have to put the prompt within the option of Custom instructions. You will see that the writing field is small, but you will be able to copy and paste the prompt there without problems. How to add the prompt to Gemini In Geminiyou have to click on the button Settings and helpand in the drop-down menu click on Personal context. Once inside the customization screen Gemini, press the button Add of Your instructions for Geminiand a window will open where you can paste the prompt. How to add the prompt to Claude In Claude you have to go into the settings. Once inside, click on the section Generaland you will have to write the prompt in the field Instructions for Claude. Here you can paste everything without problem so that it is always taken into account. In Xataka Basics | The best prompts to save hours of work and do your tasks with ChatGPT, Gemini, Copilot or other artificial intelligence

how to migrate memory of everything other AIs know about you to Gemini

Let’s tell you how to migrate memories from Claude or ChatGPT to Geminiand thus perform a migration of a artificial intelligence to another. Gemini has launched a function that allows you to import memories from Claude, ChatGPT or any other AI you’ve been using. This is a function that It was already available in Claudeand now it has been Google that has incorporated it. With it, you can import all the important data about you that any AI chat will save to personalize the responses to your context. Because yes, Claude or ChatGPT can remember things like your musical tastes, where you work or if you have pets. And why can it be useful to import these memories into Gemini? Well, because if you have decided to start using Google’s AI, you can make it know about you all the specific data that your other AIs use to personalize its results and adapt them to you. This way you won’t have to learn it from scratch conversation by conversation. Import memories from another AI to Gemini To use this option, you first have to enter Gemini through its application or its website, and log in with the account where you want all the information you will bring from other AIs to go. in here, enter the option Settings and help that will appear in the left column on the website. Once inside, you have to click on the option Import stored data to Geminiwhich will appear to you. In the Gemini mobile appwhat you have to do is click on your profile image, and in the drop-down menu is where you will find the option to Import stored data to Gemini. This will open the import memory screen. In it, above you have a prompt that you must copy to use in another AI to extract the memories, and below you will have a field where you have to write the imported memory that generates the prompt above. Therefore, here click on the button Copy of the text you have above. Now, the text that you have copied in Gemini you have to paste it in a chat with the AI ​​where you want to extract the memories. Just paste it exactly as you have it into ChatGPT, Claude or something else, and send it. This will make the AI generate a code with all the memories what he has on you. You will have to copy this code and stick it in the Gemini field what’s in the window we opened before. With this, Claude will recognize the memories and start saving them internally. Additionally, you also have the option to import the conversations as a Zip file. To do this, you will have to go to the other chatbot’s settings and look for the option to export your history as Zip. Google has a tutorial with the process for ChatGPT and Claude.

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