Best AI Assistant App 2026 — Muse AI, ChatGPT Dots, Microsoft Copilot, Gemini Spark

Vídeo em Inglês, publicado pelo canal Vil Vas - Software Reviews.

About this content: The summary, key points and topics below are generated automatically from the video transcript. They reflect the content, opinions, claims and predictions presented in the video and do not represent a position, validation or fact-check by IA Dots.

Video summary

The video provides a comparative review of several AI assistants and agents, including Meta's Muse, ChatGPT dots, Microsoft Copilot, Gemini Spark, Claude, and Instinct, analyzing their performance across task automation, reasoning, memory, integrations, privacy, pricing, and target use cases.

Key points

• Meta's Muse features a private cloud computer with a full browser for task automation, running on Muse Spark models with a 1 million token context window.
• ChatGPT dots provides strong reasoning, multi-step agentic capabilities, extensive memory integration, and operates within eligible Pro, Business, and Enterprise plans.
• Microsoft Copilot combines chat, research, and application features within Windows and Microsoft 365, though recent updates have retired several personal features and standalone plans.
• Gemini Spark operates on dedicated Google Cloud computers for background tasks and integrates deeply with Google Workspace and partner apps.
• Claude includes a desktop co-work agent that interacts with local files and applications, supported by a growing catalog of connectors.
• Instinct offers conversational help for everyday errands via text and phone calls, integrating with Google Workspace while requiring careful oversight on permissions and privacy.

Topics

AI AssistantsTask AutomationReasoning and ModelsMemory and PersonalizationIntegrations and EcosystemPrivacy and SafetyPricing and Plans

Video transcript

Transcript from available captions; it may contain errors.

Every single review just gives you a bunch of different features and you are still absolutely confused which is the best choice for you. What I'm going to do is I'm going to tell you just the very specific features that you actually need to pay attention to to understand which is the best choice for you based on your specific case. And on top of that, I have some discounts and crazy bonuses if you use my affiliate links. So, check out all of the links in the description. I have created custom GPTs for different softwares and instead of just getting information from the web that most of the time is absolutely incorrect, it's trained on specific knowledge. The GPT is going to ask you some questions and it actually gives you multiple answers to choose from making it super easy. And with these actually, you're going to get even better understanding what specific software you need because you wouldn't even think about these different things. And once you answer all of these different questions, it's going to give you the best software for your specific needs and maybe even some alternatives. >> News is Meta's personal AI agent. Instead of only answering questions, it is built to do things for you like sending emails, booking travel, filling in forms, and working on your goals in the background even when the app is closed. It launched on September 8th and so far it is only available in the United States. So, here is how it stacks up. We cover task automation, reasoning, memory, integrations, privacy and control, pricing, and who it is best for. First, task automation and agent power. For task automation and agent power, Muse scores 9.0 out of 10. Every user gets a private cloud computer with a full browser. So, Muse can search, fill out forms, make bookings, and complete purchases. And you can step in and take over at any point. It can also write code to build a small tool when a task needs one. And it can work on a schedule while you are away. It only pings you when something is worth your attention. The limits are that long jobs use up your weekly allowance. And some reviewers report logins that loop, stale prices, and background tasks that stopped quietly. Treat it as powerful, but not flawless. By the way, you can steal my super actionable, step-by-step frameworks that you can follow to scale your business. Check out the links in the description. Next, reasoning and answer quality. For reasoning and answer quality, Muse scores 8.5 out of 10. It runs on Meta's Muse Spark models. And the newest published version, Muse Spark 1.3, has a 1 million token context window. On the independent artificial analysis [music] index, the version tested scored 61, which is competitive with the top models. And Meta's own benchmarks show it trailing the strongest rival only narrowly on most agent tests. The caveats are that it does not show its reasoning and it abstains more often instead of guessing. Meta also says that mistakes will still happen. Third, memory and personalization. For memory and personalization, Muse scores 8.8 out of 10. Its memory carries across conversations and you can open the memory files and edit them yourself. There is one long-running chat plus side chats for separate projects, a goals tab for long-term plans and an ideas feed built from what it learns about you. You can even give your agent its own name and look. Proactive messages can be turned down or off. The trade-off is that an agent that remembers a lot and speaks first can feel intrusive, so check those settings early. By the way, I have created a document of 50 best growth hacks used by the biggest marketers out there. Check the link below. Now, integrations and ecosystem. [music] For integrations and ecosystem, Muse scores 7.8 out of 10. It connects to apps like email calendar Instagram [music] Facebook, and WhatsApp and you choose what it can see and do. If an app is missing, it can try to build its >> [music] >> own tool. The business version lists many more connections including Notion, Slack, Shopify, and QuickBooks. The limits are that the consumer side is narrower than developer-focused agents. A couple of security features like one password support are still marked coming soon and availability is limited to the United States, with Canada listed for the business product. Here is privacy, safety, and control. For privacy, safety, and control, Muse scores 8.4 out of 10. Muse asks for approval before irreversible actions, such as sending an email or paying, and you get an audit trail of what it did and what it plans to do. A separate checking agent called Sentinel controls what leaves your private computer. Your logins sit in a store Muse cannot see, and checkout uses a one-time card number. Meta also runs a public bug bounty of up to $300,000. But, there are real caveats. Conversations may be used for model training, unless you opt out in settings. Browsing activity can indirectly influence ads, and Meta can still access data when needed for support or security. A fully private version is planned, but it has not shipped yet. Next pricing. For pricing, Muse scores 8.0 out of 10. There is a free plan with a weekly usage limit. Meta has not published the exact free allowance, though journalists report about 100 million tokens a week. Paid plans are reported at $20 a month for power and $100 a month for max, with the same features and just more weekly usage. Usage is measured in tokens, not messages, and it does not roll over. So, heavy agent work can burn through the free tier fast. Because these prices come from press reports, check the live plan page before you pay. Finally, who is Muse best for? Muse is best for busy people in the United States who want tasks completed, not just answered, especially if you already live in WhatsApp, Instagram, or Gmail. It also suits people who want a personal assistant that remembers, plans, and works while they sleep. Skip it if you are outside supported countries, if you want your data kept strictly away from model training, or if you need a deep library of third-party integrations. For those needs, look at the other assistants in this series. Thanks for watching. For reasoning and answer quality, ChatGPT scores 9.5 out of 10. Each dot is powered by GPT-6 Astra, giving it strong reasoning for demanding projects, ambiguous requests, and decisions that require judgment. It can combine information from your ChatGPT memory, connected apps, and the context of an ongoing project, instead of treating every request as a separate conversation. That makes it especially effective at turning [music] a broad responsibility into concrete next steps and useful work for you to review. The main limitation is that confident reasoning is not the same as guaranteed accuracy. Important decisions still need clear boundaries, good source material, and human review. For task completion and agentic ability, ChatGPT dots scores 9.5 out of 10. This is where the product feels meaningfully different from a standard chatbot. A dot can keep working between conversations, use its own cloud computer, call on Codex, and operate connected tools to complete multi-step assignments. It can notice follow-up work, prepare drafts or changes, and bring back decisions that require your judgment. You can inspect what it is doing, redirect it, or pause it at any time. The result is a capable, always-on assistant. Although, sensitive actions and unclear situations may still interrupt the workflow for approval. For personalization and memory, ChatGPT dots scores 9.6 out of 10. A dot begins with context from your existing ChatGPT memory, so it can understand your preferences and working style from the start. As you give feedback, it can learn your priorities, preferred processes, tone, and the way you want recurring work handled. It can also carry those preferences across related materials instead of forcing you to repeat the same instructions. That depth is a major advantage for long-term use, but it also makes memory hygiene important. Outdated assumptions should be corrected, and users should occasionally review what the assistant is relying on. For integrations and ecosystem, ChatGPT dots scores 9.6 out of 10. Dots can work with ChatGPT, Codex, connected [music] apps, and approved tools inside a broad OpenAI ecosystem. [music] You can message or call a dot through ChatGPT on web, mobile, and desktop. [music] And supported workplace setups can bring it into Slack or Microsoft Teams. This gives one assistant several useful surfaces while preserving the same ongoing responsibility. The limitation is availability. Specific connections, workplace features, and access [music] depend on the user's plan, eligible market, and administrator controls. For ease of use and accessibility, ChatGPT.dots scores 9.1 out of 10. The basic interaction is approachable. Give the dot a responsibility, explain the outcome you want, choose its permissions, and communicate through normal chat or voice. Its activity remains visible, and you can provide feedback, pause it, or change direction as work develops. Custom rules also let you define what it may do automatically and what requires approval. The learning curve comes from permission design. Setting appropriate boundaries for an always-on agent takes more thought than simply opening a chatbot and asking a question. For speed and reliability, ChatGPT.dots scores 8.9 out of 10. The biggest speed advantage is continuity. A dot can keep making progress in the cloud while you are away. Monitor an ongoing responsibility and update work as new information appears. You do not have to keep your local computer active for cloud-based steps. That can save a great deal of waiting across longer projects. However, speed will vary with the tools being used, the number of checks required, and whether an action needs approval. Complex workflows may still involve review cycles before the final outcome is ready. For privacy and safety, ChatGPT dots scores 9.2 out of 10. Each dot works on its own cloud computer and includes safety protections designed to detect malicious instructions and potentially harmful behavior. Users choose which apps to connect, whether local computer access is allowed, and what permissions or custom rules apply. Auto review checks actions that could affect accounts or share information, and some steps still require direct approval. These controls are strong, but broad access always creates responsibility. The safest setup is to grant only the connections and permissions a particular responsibility actually needs. For pricing and overall value, ChatGPT dots scores 8.6 out of 10. Access is currently available on eligible ChatGPT Pro, Business Premium, and Enterprise plans. So, it is positioned above casual chatbot use. The value is strongest for people who can delegate recurring multi-step responsibilities and benefit from reasoning, memory, automation, coding, and connected app work in one system. For that audience, a capable always-on assistant can replace substantial manual coordination. For someone who only needs occasional answers or simple writing help, the higher-tier access may be difficult to justify. Microsoft Copilot is Microsoft's everyday AI assistant for chat, images, research, and help inside your Microsoft apps. This review is about the consumer app, not the separate work version. It is also changing fast. In August, Microsoft merged its personal and work Copilot apps into one and retired a few features along the way. So, here is how it stacks up. We cover task automation, reasoning memory integrations privacy and control, pricing, and who it is best for. First, task automation and agent power. For task automation and agent power, Microsoft Copilot scores 7.0 out of 10. Copilot actions can handle things like reservations, tickets, travel bookings, and gift purchases through partners such as Booking. com, Expedia, and OpenTable. And Microsoft says it will not book or buy anything without your confirmation. Since the merger, agents and complex multi-step tasks need a Microsoft 365 subscription. The limits are that actions was announced in 2025, and I could not confirm where it works today. It has no always-on background agent, [music] and Microsoft's planned super app with co-work and autopilot agents was due [music] this quarter, but I could not confirm it has shipped. Next, reasoning and answer quality. For reasoning and answer quality, Microsoft Copilot scores 7.8 out of 10. In late 2025, Microsoft said Copilot worked with OpenAI's models alongside its own in-house models, and a model picker is now starting to appear. The caveat is that recent coverage does not clearly name which model answers which request, and I found no independent benchmark of the consumer app itself. So, treat this score as an editorial estimate, and check the answers that matter. Third, memory and personalization. For memory and personalization, Microsoft Copilot scores 7.8 out of 10. It has long-term memory that can resurface goals, birthdays, and ongoing tasks, and you can view, edit, or delete what it saved from your privacy settings. Paid Microsoft 365 plans add proactive suggestions. There is also a real-talk style that pushes back more instead of just agreeing. But, Microsoft retired several personal touches on August 18th, including the Miko character, group chat, and podcasts. So, the experience is narrower than a year ago. Now, integrations and ecosystem. For integrations and ecosystem, Microsoft Copilot scores 8.6 out of 10. This is where it shines. It is available on the web, Windows, Mac, iPhone, Android, Edge, and the Xbox app. With a Microsoft 365 plan, you can open Word, Excel, PowerPoint, and Outlook with Copilot built-in. It can also connect to Outlook, Gmail, Google Drive, and calendars with your approval. The limits are that the best office features sit behind the paid tiers, and personal Copilot premium features cannot be shared with other people. Here is privacy, safety, and control. For privacy, safety, and control, Microsoft Copilot scores 7.5 out of 10. Personal and work accounts stay separate, so your employer cannot see your personal activity. Memory is managed in your privacy settings. And the "Hey Copilot" wake word is off by default with detection happening on your device. Copilot also asks for confirmation before [music] it books or buys. The caveat is that details about conversation history, model training, and personalization now live in a separate privacy FAQ, and I could not verify the training and retention terms. So, read that page before you rely on it. Next, pricing. For pricing, Microsoft Copilot scores 8.2 out of 10. Chat, image creation, and file uploads stay free with usage limits that Microsoft does not spell out. Microsoft 365 personal and family raise those limits, and Microsoft 365 premium, reported at about $20 a month has the highest limits and the agent features. The old standalone Copilot Pro plan was retired. These prices come from third-party summaries because Microsoft's own page does not list them. So, confirm the current price before you buy. Finally, who is Microsoft Copilot best for? It is best for people who already use Windows or Microsoft 365 and want AI built into Word, Excel, PowerPoint, and Outlook. Plus, a free assistant for everyday questions. Skip it if you want an autonomous agent that works in the background, or if you want clear details on training and retention before you start. Thanks for watching. Gemini Spark is Google's always-on personal AI agent. You hand it a task and it works in the cloud on its own virtual computer, >> [music] >> even when your laptop is closed or your phone is locked. Google announced it in May, and in October, the beta was renamed task mode inside Gemini. So, here is how it stacks up. We cover task automation reasoning memory integrations, privacy and control, pricing, and who it is best for. First, task automation and agent power. For task automation and agent power, Gemini Spark scores 8.8 out of 10. It runs on dedicated Google Cloud computers, so work continues without your devices open. You can assign multi-step jobs, set recurring schedules, and save reusable skills. It can split a big job across sub agents, run up to 15 tasks at once, and use Chrome auto browse in the United States with payments handed back to you. The limits are that usage is compute based and resets every 5 hours towards a weekly cap. Google publishes no daily task numbers and its documentation says scheduled tasks pause when task mode is switched off or the device is off. So, check how that applies to you. Next, reasoning and answer quality. For reasoning and answer quality, Gemini Spark scores 8.2 out of 10. At launch, it ran on Gemini 3.5 Flash, a model from Google's speed-focused tier, and some reports say it has since moved to a newer Flash model, though I could only confirm the first one. I could not find an independent benchmark of Spark itself. So, this score is an editorial [music] estimate. The caveat is that speed-focused models can be less suited to the hardest reasoning jobs. So, for deep analysis, you may want a larger model. Third, memory and personalization. For memory and personalization, Gemini Spark scores 7.8 out of 10. It can build reusable skills over time, such as a writing style guide drawn from your past emails, and recurring tasks that remember what to check. Personalization depends on personal intelligence, which you opt into, and task mode only works when keep activity is turned on. The limits are that it supports personal Google accounts only, not work or school accounts. And I did not find a way to browse and edit its memory the way some rivals offer. Now, integrations and ecosystem. For integrations and ecosystem, Gemini Spark scores 8.7 out of 10. This is its strongest area. It works across Gmail, Docs, Drive, Sheets, Slides Calendar Keep Photos and YouTube. And it connects to partner apps such as Canva, Instacart, OpenTable, Dropbox, and Zillow. You can also add your own servers using the model context protocol. The limits are that Google Workspace accounts are not supported, and it is unavailable in the European Economic Area, the United Kingdom, Switzerland, and Nigeria. Here is privacy, safety, and control. For privacy, safety, and control, Gemini Spark scores 7.2 out of 10. You opt in to each connected app, [music] and it is designed to ask before high-stakes steps like spending money or sending email to other people. Turning task mode off deletes the remote browser and computer data, but there are real trade-offs. Task mode only works with Keep activity on, and Google says that activity can be used to improve its services, including training with a subset of chats reviewed by humans and kept for up to 3 years. The remote browser can also store cookies with your logins. A leaked early screen even warned it might act without asking, although the shipped wording was softened. Next, pricing. For pricing, Gemini Spark scores 7.8 out of 10. It is not sold on its own, and I found no published [music] free trial. Task mode is reported to come with Google AI Pro at about $20 a month, while AI Ultra costs about $100 for five times the compute, or about $200 for 20 times. The cheapest plan does not include it. Limits are measured in compute, not a fixed number of tasks. These prices come from third-party summaries of Google's pages, so confirm them before you pay. Finally, who is Gemini Spark best for? It is best for people who already live in Google's apps and want an agent that works in the background, especially in the United States with a personal Google account. It also suits anyone who wants to connect their own tools through open standards. Skip it if you rely on a workspace account, if you [music] live in the EU or the UK, or if keeping your data away from training and human [music] review is your top priority. Thanks for watching. Claude is Anthropic's AI assistant, and this review covers the Claude app, including its co-work agent that works with your files and apps on your computer. You can use it on the web, desktop, and mobile, starting on a free plan. The scores in this series are editorial. So, check the sources before you decide. So, here is how it stacks up. We cover task automation reasoning memory integrations, privacy and control, pricing, and who it is best for. First, task automation and agent power. For task automation and agent power, Claude scores 8.2 out of 10. Cowork is a desktop agent that reads your files and folders, works across apps, runs scheduled tasks, and delivers finished work. Anthropic's pricing page now says Cowork is just Claude, rolling out to Pro and Max. And the connectors ask for confirmation before actions like purchases or bookings. The limits are that Cowork needs a paid plan. The sources describe it as desktop-based rather than an always-on cloud computer. And chat, coding, and Cowork all draw from one shared usage allowance. Next, reasoning and answer quality. For reasoning and answer quality, Claude scores 8.6 out of 10. There is no independent benchmark of the app itself. So, this score leans on the models behind it. In Meta's own benchmark table, Anthropic's Opus 5 sits at or just ahead of Meta's newest model on most agent tests. And that is a rival's data, not Anthropic's. The caveats are that the free plan does not include Opus, and heavy reasoning use drains your allowance faster than casual chat. Third, memory and personalization. For memory and personalization, Claude scores 8.2 out of 10. Memory is available on every plan, including the free one, and projects let you keep files and instructions together, with up to five on the free plan and more on paid plans. The limits are that I found no sign that Claude messages you first or runs as an always-on >> [music] >> agent, and I did not find details on how finely you can edit what it remembers. Now, integrations and ecosystem. For integrations and ecosystem, Claude scores 8.4 out of 10. The connector catalog has grown past 200, available on all plans. And in April, Anthropic added personal apps such as Spotify, Instacart, Booking.com, Resy, Uber Eats, and TurboTax. Paid plans also add Microsoft 365 add-ins for Word, Excel, and PowerPoint. The limits are that mobile support for these connectors was still in beta, and you will need to sign in to each service you connect. Here is privacy, safety, [music] and control. For privacy, safety, and control, Claude scores 8.2 out of 10. On free, pro, and max, you choose whether your chats can be used to improve Claude. If you opt out, the normal 30-day retention applies. But, if you opt in, retention extends to 5 years. Anthropic says data from connected apps is not used to train models, and Claude asks before purchases and bookings. The caveats are that this training policy dates from 2025. So, confirm it is still current. And team and enterprise plans work under separate commercial terms. Next, pricing. For pricing, Claude scores 7.8 out of 10. The free plan covers everyday use with usage windows that reset every 5 hours. Pro is $20 a month or $17 a month billed annually. Max starts at $100 for five times the pro usage with a $200 level for 20 times. Claude code and co-work are not on the free plan. Because chat, code, and co-work share one usage pool, heavy users can run into limits. So, choose your tier by how much you use it. Finally, who is Claude best for? It is best for writers, analysts, and developers who want strong reasoning. [music] And for desktop users who want an agent that works with their files and [music] everyday apps. Skip it if you want a free assistant that works in the background around the clock. Or if you want the most generous usage for the lowest price. Thanks for watching. For AI assistant quality, Instinct scores eight out of 10 in this assessment of its documented capabilities. The appeal is straightforward. You can text or call an assistant that uses a phone and computer to help with everyday requests. Its website gives examples such as ordering groceries and arranging travel. That makes it relevant if you want to hand over an errand instead of work through another interface. The limitation is the evidence behind the promise. Public product information does not establish consistent performance across different requests. Treat it as an assistant whose work you check, especially when details matter. For agentic task completion, Instinct scores 8.5 out of 10. Its documented scope includes taking actions through connected services. That is useful for requests with an actual result, such as a booking or an order. Give it a clear budget and explain what needs your approval. A good request should specify the outcome and the limits. For example, finding a suitable option and buying it are different permissions. Before considering an errand finished, look for the confirmation from the service involved. Clear instructions and a final check make delegation more practical. For personalization and memory, Instinct scores eight out of 10. It uses information you share and context from connected accounts to personalize suggestions. That can reduce how much background you need to explain on later requests. There's also a data management detail to understand. Disconnecting an integration does not automatically remove information that Instinct has already indexed. It's documentation describes a separate deletion route in the workspace. [music] The practical choice is how much context you want the assistant to retain. More context can make a request easier, but it also gives you more information to manage. For integrations, Instinct scores eight out of 10. Its policy explicitly lists Google Workspace connections, including Gmail, Calendar, Drive, Docs, Sheets, Slides, and Tasks. That is a useful starting point if much of your personal organization already lives in Google services. However, a listed connection does not prove that every possible workflow is supported equally well. Check the permissions and the specific action you need. Evaluate an assistant around the accounts you actually use, rather than the total number of services it mentions. For ease of use, Instinct scores 8.5 out of 10. Texting or calling is familiar, and the current web sign-in starts with phone verification. You can describe a request in everyday language. The setup still matters. Connected accounts need access, and the assistant needs enough detail to understand the result you expect. Start with a small task that is easy to verify. That gives you a useful way to judge whether the conversation and the resulting work fit your routine. For speed and reliability, Instinct scores seven out of 10. >> [music] >> This reflects limited public verification rather than a measured speed test. I could not verify a public response time benchmark or task success rate. Results can also depend on the external service and on how complete your instructions are. Judge speed by the time it takes to reach a correct outcome including your own checking. A quick reply is helpful but a confirmed result is what makes an assistant save time. For privacy and safety, Instinct scores 6.5 out of 10. Some shared information may be used for model training. You can opt out although safety review exceptions remain. Google Workspace API data has separate no training protections. Action permissions also deserve attention because mistakes can affect real accounts. Review the available settings and keep oversight proportionate to the task. For pricing and overall value, a numerical rating would be premature. I could not verify an official public subscription price. The terms allow paid features and pricing changes so check the offer shown to your account. Include usage limits and any service charges in your decision. Value depends on the work you can successfully delegate. Instinct is best for people who want conversational help with everyday errands and are comfortable checking the results. If guaranteed outcomes or transparent upfront pricing are essential, those are gaps to resolve before relying on it. By By way, I have also made an ultimate video comparing all of the different softwares, so go check that out. Link in the description. And don't forget I have special discounts and crazy bonuses if you use my affiliate link. So, if you enjoyed this, check out all of those links.

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Assuntos: Assistente pessoal, Assistente pessoal, Dots, Muse. Publicado no YouTube em 2026-10-24.

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