Gemini vs Muse

Agent access

1. ai-native userPlug MCP servers into this product so it can use their tools

   weight 3 · round drawn
   Gemini—none0/10

   Evidence covers Gemini Apps' 'Connected Apps' feature (Gmail, Calendar, Maps, Flights) and coding-related uploads (GitHub repos, folders), but nothing describes plugging in Model Context Protocol (MCP) servers as a tool-connection mechanism. Missing for 10: any documentation or mention of MCP server support, MCP client configuration, or third-party tool registration via MCP standard.

   • [claimed-docs] “Gemini Apps can connect to other apps to complete your request and give you more helpful responses. With your permission, Gemini can also he…”
   • [claimed-docs] “Gemini Apps can connect to other apps to complete your request and give you more helpful responses.”
   • [claimed-docs] “With your permission, Gemini can also help you take actions, like editing and managing your content in other apps.”
   • [claimed-docs] “Boost productivity: Summarize emails from Gmail, create events in Google Calendar or third-party apps, or search for content across a variet…”
   • [claimed-docs] “Get started with Connected Apps in Gemini **Important:** For now, Gemini can’t use Connected Apps in Gemini in Google Messages.”

   proof ↗⚑ flag

   Muse—none0/10

   No evidence Muse supports plugging in external MCP servers; it only describes its agent building its own tools internally, which is a different mechanism.

   • [claimed-docs] “If a task needs a tool that doesn't exist, your agent builds it for you.”
   • [claimed-docs] “Muse has its own computer, with a file system and a terminal, so it can write its own code and build the tools a task needs.”

   proof ↗⚑ flag

2. ai-native userUse an official CLI

   weight 2 · round to Gemini
   Gemini~partialcommunity4/10

   Community discussion confirms the existence of an official 'Gemini CLI' used for software development (comm-13, comm-14), but there is no first-party documentation of it in the evidence pack, and a hands-on report shows it fails to work for Workspace accounts ('Failed to login... now as a Workspace account I cant use Gemini CLI for my work') (comm-15). Missing for 10: official CLI documentation/spec, installation and usage guides, and evidence that login/account restrictions have been resolved.

   • [community] “I have been using this for about a month and it's a beast, mostly thanks to 2.5pro being SOTA and also how it leverages that huge 1M context…”
   • [community] “I love how fragmented Google's Gemini offerings are. I'm a Pro subscriber, but I now learn I should be a 'Gemini Code Assist Standard or Ent…”
   • [community] “'Failed to login. Ensure your Google account is not a Workspace account.' ... now as a Workspace account I cant use Gemini CLI for my work, …”

   proof ↗⚑ flag

   Muse—none0/10

   No evidence of an official CLI for Muse; all evidence describes a consumer app/avatar/chat interface with an internal terminal for the agent itself, not a CLI for AI-native users to interact with Muse.

   ⚑ flag

3. ai-native userDrive the product through a documented public API

   weight 3 · round to Gemini
   Gemini~partialcommunity5/10

   Community evidence confirms a public Gemini API exists and is actively used by developers (pricing tiers, model versions, Google AI Studio parameters like temperature and top_k), but the evidence pack contains no first-party API reference documentation, and one community report notes undocumented/hidden parameter behavior (fixed top_k, capped temperature) that limits full programmatic control. missing for 10: first-party API reference/docs citation, SDK/auth documentation, confirmation that documented parameters match actual behavior.

   • [community] “API pricing is up to $2/M for input and $12/M for output. For comparison: Gemini 2.5 Pro was $1.25/M for input and $10/M for output, Gemini …”
   • [community] “I'm sure this is a very impressive model, but gemini-3-pro-preview is failing spectacularly at my fairly basic python benchmark. In fact, ge…”
   • [community] “My favorite benchmark is to analyze a very long audio file recording of a management meeting and produce very good notes along with a transc…”
   • [community] “Temperature continues to be gated to maximum of 0.2, and there's still the hidden top_k of 64 that you can't turn off. I love the google AI …”
   • [community] “It still failed my image identification test (a photoshopped picture of a dog with 5 legs)... Gemini 3 however, while still failing, at leas…”

   proof ↗⚑ flag

   Muse—none0/10

   No evidence of a documented public API for developers to programmatically drive Muse; all evidence describes end-user chat/app features and internal agent behavior, not an external API surface.

   ⚑ flag

4. ai-native userBuild against official SDKs

   weight 2 · round drawn
   Gemini—none0/10

   The evidence pack only covers Gemini's consumer-facing app features (uploads, Gemini Live, Gems, connected apps) and does not document any official SDKs for building applications (e.g., Python/Node/Go SDKs for the Gemini API). Community mentions reference API pricing and a 'Gemini CLI' having login issues, but no concrete SDK documentation or hands-on developer usage evidence is present.

   • [community] “API pricing is up to $2/M for input and $12/M for output. For comparison: Gemini 2.5 Pro was $1.25/M for input and $10/M for output, Gemini …”
   • [community] “'Failed to login. Ensure your Google account is not a Workspace account.' ... now as a Workspace account I cant use Gemini CLI for my work, …”

   proof ↗⚑ flag

   Muse—none0/10

   No evidence of any official SDK for developers to build against; evidence only covers end-user features (avatars, goals, side chats, agent building its own tools) rather than a developer-facing SDK.

   ⚑ flag

5. ai-native userSubscribe to events via webhooks

   weight 2 · round drawn
   Gemini—none0/10

   No evidence in the pack describes Gemini offering a webhook subscription mechanism for events; the docs cover imports, connected apps, Gems, Live, Deep Research, etc., but nothing about outbound webhooks or event subscriptions for AI-native/agentic integration.

   ⚑ flag

   Muse—none0/10

   No evidence in the pack mentions webhooks or any event-subscription API for developers; Muse's documented features focus on agent tasks, permissions, and integrations, not outbound webhook subscriptions. missing for 10: any webhook/event API documentation, developer subscription mechanism, or third-party confirmation of webhook support.

   ⚑ flag

Agentic features

1. ai-native userGet AI-generated insights and suggestions from my data inside the product

   weight 2 · round to Gemini
   Gemini✓fullcommunity8/10

   Gemini's docs show robust support for generating insights from user data: uploading documents/spreadsheets/photos/videos for 'answers, summaries, and insights' (gemini-docs-25), Notebooks for organizing and querying sources (gemini-docs-11, gemini-docs-24, gemini-docs-29), Deep Research for in-depth analysis (gemini-docs-7), and Connected Apps that summarize Gmail and productivity data (gemini-docs-30). Independent hands-on reports corroborate real usage: navigating large codebases effortlessly (gemini-comm-13), replacing an OCR vendor for document ingestion with strong accuracy (gemini-comm-17), and NotebookLM being 'really powerful for comprehending large corpuses' (gemini-comm-19), though one report notes weaker accuracy on visual bounding-box tasks (gemini-comm-18). missing for 10: broader independent benchmarking specifically on insight-generation quality across data types, and resolution of the noted accuracy gaps in some visual tasks.

   • [claimed-docs] “You can upload documents, spreadsheets, notebooks, photos, videos, and more to Gemini Apps to get answers, summaries, and insights about you…”
   • [claimed-docs] “Notebooks provide a continuous chat experience that remembers your sources, instructions, and ongoing discussions.”
   • [claimed-docs] “you can use notebooks to organize your projects in a dedicated, focused space.”
   • [claimed-docs] “You can conduct in-depth and real-time research on almost any subject with Deep Research in Gemini Apps.”
   • [claimed-docs] “You can change or add other sources, like your personal Gmail or Drive, for your research. You can also upload files and add NotebookLM note…”
   • [claimed-docs] “Boost productivity: Summarize emails from Gmail, create events in Google Calendar or third-party apps, or search for content across a variet…”
   • [community] “I have been using this for about a month and it's a beast, mostly thanks to 2.5pro being SOTA and also how it leverages that huge 1M context…”
   • [community] “I work in fintech and we replaced an OCR vendor with Gemini at work for ingesting some PDFs... Processing time went from something like 12 m…”
   • [community] “I've been using NotebookLM powered by Gemini 2.0 for three projects and it is really powerful for comprehending large corpuses you can't pos…”
   • [community] “Unfortunately Gemini really seems to struggle on this, and no matter how we tried prompting it, it would generate wildly inaccurate bounding…”

   proof ↗⚑ flag

   Muse~partialclaimed5/10

   Muse links personal data sources (email, calendar, social, health, finances) and proactively tracks tasks/goals, implying some data-driven suggestions, but the evidence never explicitly describes AI-generated insights or recommendations derived from that data—most documentation focuses on agentic task execution and tool-building rather than analytic insight generation. missing for 10: explicit description of insight/recommendation generation from user data, independent hands-on validation of this specific capability.

   • [claimed-docs] “Link your email, calendar, Instagram, Facebook, health and fitness data, and finances.”
   • [claimed-docs] “The Goals tab is where Muse keeps track of all this for you, and you can interact directly there or talk to it about these tasks in chat.”
   • [claimed-docs] “If a task needs a tool that doesn't exist, your agent builds it for you.”

   proof ↗⚑ flag

2. ai-native userSet up automations that run autonomously in the background

   weight 2 · round to Gemini
   Gemini~partialclaimed6/10

   Google's docs explicitly describe scheduling recurring actions so Gemini becomes part of daily/weekly/monthly routines (gemini-docs-8), and the Daily Brief feature autonomously delivers a personalized digest without user prompting (gemini-docs-32/41), supported by action-taking integrations with other apps (gemini-docs-10/17/23/30). However, evidence is limited to first-party docs with no independent/hands-on confirmation of reliability, no detail on trigger conditions, failure handling, or scope of what 'recurring actions' can actually do autonomously. Missing for 10: independent verification that scheduled automations run reliably unattended, documentation on trigger/condition logic, and evidence of broader autonomous multi-step task execution beyond simple digests.

   • [claimed-docs] “You can make Gemini a part of your daily, weekly, and monthly routines by scheduling recurring actions.”
   • [claimed-docs] “Start your day with a personalized digest from Gemini. Your Daily Brief understands your rhythms and personal preferences to deliver your to…”
   • [claimed-docs] “Start your day with a personalized digest from Gemini. Your Daily Brief understands your rhythms and personal preferences to deliver your to…”
   • [claimed-docs] “Gemini Apps can connect to other apps to complete your request and give you more helpful responses. With your permission, Gemini can also he…”
   • [claimed-docs] “Gemini Apps can connect to other apps to complete your request and give you more helpful responses.”
   • [claimed-docs] “With your permission, Gemini can also help you take actions, like editing and managing your content in other apps.”
   • [claimed-docs] “Boost productivity: Summarize emails from Gmail, create events in Google Calendar or third-party apps, or search for content across a variet…”

   proof ↗⚑ flag

   Muse!disputedcontradicted5/10

   Muse's Goals tab, activity log, and approval-card workflow (muse-docs-5, muse-docs-8, muse-docs-13) show first-party support for autonomous background task tracking and execution, and muse-docs-7 explicitly describes agents building tools for unattended tasks. However, an independent hands-on stress test found the agent's control plane starts timing out under load, exposing concrete failure points in its background-automation architecture (muse-comm-1), directly undercutting reliability claims for autonomous operation. missing for 10: independent confirmation that background automations run reliably at scale, more detail on scheduling/triggering mechanisms for autonomous runs.

   • [claimed-docs] “The Goals tab is where Muse keeps track of all this for you, and you can interact directly there or talk to it about these tasks in chat.”
   • [claimed-docs] “If a task needs a tool that doesn't exist, your agent builds it for you.”
   • [claimed-docs] “Tapping on your Muse avatar will show you its full activity log as well as permissions you’ve approved.”
   • [claimed-docs] “Muse shows people a complete audit trail of everything it has done and plans to do.”
   • [community] “Blog post title/finding: the author stress-tested Meta Muse until its agent control plane started timing out, exposing failure points in the…”

   proof ↗⚑ flag

3. ai-native userDelegate tasks to a built-in AI assistant inside the product

   weight 3 · round drawn
   Gemini✓fullcommunity8/10

   Gemini's docs show extensive task delegation: connected apps to take actions in Gmail/Calendar/Maps/Flights (gemini-docs-10, gemini-docs-23, gemini-docs-30), scheduled recurring actions (gemini-docs-8), custom Gems for specific goals (gemini-docs-9), Deep Research for autonomous multi-step research (gemini-docs-7), and Daily Brief proactive digests (gemini-docs-32, gemini-docs-41). Community evidence corroborates real-world delegated use cases like large codebase analysis and audio transcription (gemini-comm-13, gemini-comm-10). missing for 10: independent hands-on verification specifically of agentic task delegation/action-taking (vs. just Q&A), and evidence of reliability/success rate when Gemini executes multi-step delegated tasks.

   • [claimed-docs] “You can conduct in-depth and real-time research on almost any subject with Deep Research in Gemini Apps.”
   • [claimed-docs] “You can make Gemini a part of your daily, weekly, and monthly routines by scheduling recurring actions.”
   • [claimed-docs] “To create a custom Gem to meet your goals, provide info about your request and requirements.”
   • [claimed-docs] “Gemini Apps can connect to other apps to complete your request and give you more helpful responses. With your permission, Gemini can also he…”
   • [claimed-docs] “With your permission, Gemini can also help you take actions, like editing and managing your content in other apps.”
   • [claimed-docs] “Boost productivity: Summarize emails from Gmail, create events in Google Calendar or third-party apps, or search for content across a variet…”
   • [claimed-docs] “Start your day with a personalized digest from Gemini. Your Daily Brief understands your rhythms and personal preferences to deliver your to…”
   • [community] “I have been using this for about a month and it's a beast, mostly thanks to 2.5pro being SOTA and also how it leverages that huge 1M context…”
   • [community] “My favorite benchmark is to analyze a very long audio file recording of a management meeting and produce very good notes along with a transc…”

   proof ↗⚑ flag

   Muse✓fullclaimed8/10

   Muse is explicitly a built-in AI agent with its own compute, terminal, and file system to build tools and complete delegated tasks (goals, side chats, autonomous tool creation), with approval flows and activity logs for oversight. Missing for 10: independent hands-on verification of delegation quality beyond stress-test edge cases and more detail on task breadth/reliability at scale.

   • [claimed-docs] “Muse has its own computer, with a file system and a terminal, so it can write its own code and build the tools a task needs.”
   • [claimed-docs] “The Goals tab is where Muse keeps track of all this for you, and you can interact directly there or talk to it about these tasks in chat.”
   • [claimed-docs] “If a task needs a tool that doesn't exist, your agent builds it for you.”
   • [claimed-docs] “Tapping on your Muse avatar will show you its full activity log as well as permissions you’ve approved.”
   • [claimed-docs] “Muse shows people a complete audit trail of everything it has done and plans to do.”

   proof ↗⚑ flag

4. ai-native userOperate the product with natural-language commands

   weight 2 · round to Gemini
   Gemini✓fullclaimed8/10

   Gemini is fundamentally operated via natural-language chat and voice (Gemini Live's free-flowing conversation, 'Hey Google' voice commands, text prompts for image generation, scheduling recurring actions, custom Gems, and connected-app actions) rather than rigid commands or GUIs, per extensive first-party docs. Missing for 10: independent/hands-on verification that complex natural-language action requests (e.g., connected-app task execution) reliably work as described, and community evidence is mixed on model quality/accuracy for specific tasks rather than confirming the NL interface itself.

   • [claimed-docs] “With Gemini Live, you can have a natural, free-flowing conversation with Gemini. You can even interrupt it like when you want to add more de…”
   • [claimed-docs] “With Gemini Live, you can have a natural, free-flowing conversation with Gemini.”
   • [claimed-docs] “With Gemini Live, you can: * **Talk back and forth:** Talk to Gemini without typing, and Gemini will respond back verbally.”
   • [claimed-docs] “you can have a natural, free-flowing conversation with Gemini. You can even interrupt it like when you want to add more details or change th…”
   • [claimed-docs] “Gemini Apps can connect to other apps to complete your request and give you more helpful responses. With your permission, Gemini can also he…”
   • [claimed-docs] “Gemini Apps can connect to other apps to complete your request and give you more helpful responses.”
   • [claimed-docs] “With your permission, Gemini can also help you take actions, like editing and managing your content in other apps.”
   • [claimed-docs] “You can make Gemini a part of your daily, weekly, and monthly routines by scheduling recurring actions.”
   • [claimed-docs] “To create a custom Gem to meet your goals, provide info about your request and requirements.”
   • [claimed-docs] “Boost productivity: Summarize emails from Gmail, create events in Google Calendar or third-party apps, or search for content across a variet…”
   • [claimed-docs] “On Android, say “Hey Google” to ask Gemini for help with what’s on your screen”

   proof ↗⚑ flag

   Muse✓fullcommunity7/10

   Muse is designed around a chat interface where users talk to it in natural language to manage goals, tasks, and tool-building ('talk to it about these tasks in chat', side chats for topic-specific NL interaction). This is corroborated by first-party docs describing conversational control as the primary interface. missing for 10: independent hands-on confirmation of broad natural-language command coverage beyond goals/chat, and detail on command reliability at scale (comm-1 notes control-plane timeouts under stress).

   • [claimed-docs] “The Goals tab is where Muse keeps track of all this for you, and you can interact directly there or talk to it about these tasks in chat.”
   • [claimed-docs] “some people still wanted separate context for certain topics — which made sense as projects grew more complex. So we built side chats.”
   • [claimed-docs] “Tapping on your Muse avatar will show you its full activity log as well as permissions you’ve approved.”
   • [community] “Blog post title/finding: the author stress-tested Meta Muse until its agent control plane started timing out, exposing failure points in the…”

   proof ↗⚑ flag

Agent mode

1. power-userDelegate a multi-step task that the assistant works on autonomously in the background and returns for my review

   weight 3 · round to Gemini
   Gemini~partialclaimed6/10

   Deep Research lets users delegate an open-ended research task that Gemini works on autonomously and returns a report for review, and scheduled/recurring actions show background task automation; Connected Apps/Gems add some autonomous action-taking on the user's behalf. However there's no clear evidence of a general-purpose multi-step 'agent mode' that plans and executes across arbitrary apps end-to-end with an explicit review/approval step, nor independent hands-on confirmation of this workflow. Missing for 10: evidence of a broad autonomous agent (beyond Deep Research/scheduling) handling arbitrary multi-step tasks across apps, and independent/community validation of such background task delegation working reliably.

   • [claimed-docs] “You can conduct in-depth and real-time research on almost any subject with Deep Research in Gemini Apps.”
   • [claimed-docs] “You can make Gemini a part of your daily, weekly, and monthly routines by scheduling recurring actions.”
   • [claimed-docs] “To create a custom Gem to meet your goals, provide info about your request and requirements.”
   • [claimed-docs] “Gemini Apps can connect to other apps to complete your request and give you more helpful responses. With your permission, Gemini can also he…”
   • [claimed-docs] “With your permission, Gemini can also help you take actions, like editing and managing your content in other apps.”
   • [claimed-docs] “Boost productivity: Summarize emails from Gmail, create events in Google Calendar or third-party apps, or search for content across a variet…”

   proof ↗⚑ flag

   Muse!disputedcontradicted6/10

   Muse's docs describe autonomous background task handling via the Goals tab, self-built tools, activity logs and approval cards for review — matching the delegate-and-review story [muse-docs-5][muse-docs-7][muse-docs-8][muse-docs-13][muse-docs-10]. However, an independent hands-on stress test found the agent's control plane timing out under load, exposing failure points in the very autonomous-task architecture being claimed [muse-comm-1], and another commenter notes the assistant is less capable than power-user expectations for building/using tools [muse-comm-2]. Missing for 10: reproducible evidence of reliable long-running multi-step task completion, and resolution/acknowledgment of the reported control-plane timeout issue.

   • [claimed-docs] “The Goals tab is where Muse keeps track of all this for you, and you can interact directly there or talk to it about these tasks in chat.”
   • [claimed-docs] “If a task needs a tool that doesn't exist, your agent builds it for you.”
   • [claimed-docs] “Tapping on your Muse avatar will show you its full activity log as well as permissions you’ve approved.”
   • [claimed-docs] “Muse shows people a complete audit trail of everything it has done and plans to do.”
   • [claimed-docs] “structured approval cards with clear accept/reject actions, and secure storage for your credentials.”
   • [community] “Blog post title/finding: the author stress-tested Meta Muse until its agent control plane started timing out, exposing failure points in the…”
   • [community] “"I, too, have a personal agent but my friends using Muse or Instinct approach the functionality I use mine for quite easily... a sophisticat…”

   proof ↗⚑ flag

2. power-userHave the assistant operate a web browser on my behalf to research and complete tasks on websites

   weight 3 · round to Gemini
   Gemini~partialclaimed4/10

   Deep Research lets Gemini conduct 'in-depth and real-time research' across web sources, and Connected Apps let it take actions in other apps (Gmail, Calendar, Maps, Flights) with permission — showing some research/task-automation capability. However, there is no evidence of Gemini actually driving a web browser (navigating pages, clicking, filling forms) to complete tasks on arbitrary websites, only sanctioned first-party app integrations. Missing for 10: explicit browser-control/agentic navigation evidence, hands-on demonstration of completing a multi-step website task, independent corroboration of this capability.

   • [claimed-docs] “You can conduct in-depth and real-time research on almost any subject with Deep Research in Gemini Apps.”
   • [claimed-docs] “You can change or add other sources, like your personal Gmail or Drive, for your research. You can also upload files and add NotebookLM note…”
   • [claimed-docs] “Gemini Apps can connect to other apps to complete your request and give you more helpful responses. With your permission, Gemini can also he…”
   • [claimed-docs] “With your permission, Gemini can also help you take actions, like editing and managing your content in other apps.”
   • [claimed-docs] “Boost productivity: Summarize emails from Gmail, create events in Google Calendar or third-party apps, or search for content across a variet…”

   proof ↗⚑ flag

   Muse—none0/10

   Evidence describes Muse having its own computer/terminal to build tools, task tracking (Goals tab), and permissions/approval cards, but nothing in the pack mentions browser automation or web navigation on the user's behalf. Missing for 10: any mention of browser control, web research execution, or site-task completion capability.

   ⚑ flag

3. power-userLet the assistant see and operate applications on my computer to complete work

   weight 2 · round to Gemini
   Gemini~partialclaimed5/10

   Gemini's Connected Apps feature lets it take actions in other apps (Gmail, Calendar, Maps, Flights) with permission, and on Android it can see what's on-screen to help with context, but this is limited to a curated set of app integrations/APIs rather than general computer-use/desktop automation across arbitrary applications. Missing for 10: broader OS-level screen perception, ability to click/type across arbitrary desktop apps, and independent hands-on evidence of an agentic computer-use mode.

   • [claimed-docs] “Gemini Apps can connect to other apps to complete your request and give you more helpful responses. With your permission, Gemini can also he…”
   • [claimed-docs] “Gemini Apps can connect to other apps to complete your request and give you more helpful responses.”
   • [claimed-docs] “With your permission, Gemini can also help you take actions, like editing and managing your content in other apps.”
   • [claimed-docs] “Boost productivity: Summarize emails from Gmail, create events in Google Calendar or third-party apps, or search for content across a variet…”
   • [claimed-docs] “On Android, say “Hey Google” to ask Gemini for help with what’s on your screen”
   • [claimed-docs] “Get started with Connected Apps in Gemini **Important:** For now, Gemini can’t use Connected Apps in Gemini in Google Messages.”

   proof ↗⚑ flag

   Muse~partialclaimed4/10

   Muse describes having its own computer/terminal to build tools and links external accounts (email, calendar, social, health, finance) via structured approvals, which lets it act on the user's behalf across services, but the evidence never shows it seeing or directly operating applications on the user's own device (e.g., screen/GUI control) — it operates its own sandboxed environment, not the user's computer. Missing for 10: evidence of direct screen/GUI control of the user's local applications, and independent confirmation that this cross-app automation reliably works beyond linked-account integrations.

   • [claimed-docs] “Muse has its own computer, with a file system and a terminal, so it can write its own code and build the tools a task needs.”
   • [claimed-docs] “If a task needs a tool that doesn't exist, your agent builds it for you.”
   • [claimed-docs] “structured approval cards with clear accept/reject actions, and secure storage for your credentials.”
   • [claimed-docs] “Link your email, calendar, Instagram, Facebook, health and fitness data, and finances.”

   proof ↗⚑ flag

Tasks

1. power-userSchedule recurring or one-off tasks that run automatically and come back to me with results

   weight 2 · round to Gemini
   Gemini~partialclaimed6/10

   Gemini docs confirm scheduling recurring actions (gemini-docs-8) and Daily Brief personalized digest (gemini-docs-32/41), showing one-off/recurring automated tasks that return results. However, evidence lacks detail on task complexity, multi-step agent tasks, notification delivery mechanisms, or independent/community corroboration of this specific feature working reliably. missing for 10: detailed documentation on scheduling flexibility, agentic multi-step task execution, notification/result delivery mechanisms, and independent hands-on validation of the scheduled-tasks feature.

   • [claimed-docs] “You can make Gemini a part of your daily, weekly, and monthly routines by scheduling recurring actions.”
   • [claimed-docs] “Start your day with a personalized digest from Gemini. Your Daily Brief understands your rhythms and personal preferences to deliver your to…”
   • [claimed-docs] “Start your day with a personalized digest from Gemini. Your Daily Brief understands your rhythms and personal preferences to deliver your to…”

   proof ↗⚑ flag

   Muse~partialcommunity5/10

   Muse's Goals tab and activity log suggest it can track and manage ongoing tasks with an audit trail of completed/planned actions, implying some form of persistent task tracking, but there is no explicit documentation of recurring/scheduled triggers or a scheduling UI. Community evidence also shows the agent's control plane can time out under stress, raising doubts about reliability for automated recurring runs. missing for 10: explicit scheduling/recurrence configuration docs, evidence of one-off vs recurring task setup, and independent confirmation that scheduled tasks reliably complete and report back.

   • [claimed-docs] “The Goals tab is where Muse keeps track of all this for you, and you can interact directly there or talk to it about these tasks in chat.”
   • [claimed-docs] “Muse shows people a complete audit trail of everything it has done and plans to do.”
   • [claimed-docs] “If a task needs a tool that doesn't exist, your agent builds it for you.”
   • [community] “Blog post title/finding: the author stress-tested Meta Muse until its agent control plane started timing out, exposing failure points in the…”

   proof ↗⚑ flag

Apps

1. power-userUse an official desktop app with OS-level shortcuts and access to what is on my screen

   weight 2 · round to Gemini
   Gemini~partialclaimed5/10

   Docs confirm an official Mac desktop app with a global OS-level keyboard shortcut (Option+Space) to summon Gemini without opening a browser [gemini-docs-15, gemini-docs-36, gemini-docs-20], but the only 'see what's on your screen' capability documented is for the Android mobile app via 'Hey Google' [gemini-docs-6], not the desktop app. Missing for 10: evidence of desktop screen-reading/screenshare capability, and independent/hands-on confirmation of the desktop shortcut and screen access working together.

   • [claimed-docs] “you can also use the keyboard shortcut Option + Space to bring up the Gemini chat window after the app is installed and running”
   • [claimed-docs] “The Gemini app provides quick access to AI features, allowing you to get help with writing, brainstorming, coding, and more, without needing…”
   • [claimed-docs] “What you need to use the Gemini app on Mac * A personal Google Account you manage on your own, or a work or school account that your adminis…”
   • [claimed-docs] “On Android, say “Hey Google” to ask Gemini for help with what’s on your screen”

   proof ↗⚑ flag

   Muse—none0/10

   Evidence describes Muse as an AI agent with its own computer/file system, chat, and permission tracking, but there is no mention of an official desktop app, OS-level keyboard shortcuts, or screen access/observation capability. This appears to be a mobile/app-based assistant rather than a desktop tool with screen access.

   ⚑ flag

2. knowledge-workerUse full-featured official mobile apps for iOS and Android

   weight 2 · round to Gemini
   Gemini~partialclaimed6/10

   Docs confirm a full-featured Gemini mobile app with rich functionality (Gemini Live voice conversations, screen-aware Android assistant via 'Hey Google', Maps/Flights integration, daily briefs, scheduling, image generation, coding help) showing strong Android support, and generic mobile-app language implies broader availability, but the evidence never explicitly names or details an iOS app or iOS-specific parity. missing for 10: explicit iOS app documentation/feature parity, App Store presence, and any cross-platform comparison confirming equal functionality on iOS vs Android.

   • [claimed-docs] “On Android, say “Hey Google” to ask Gemini for help with what’s on your screen”
   • [claimed-docs] “With Gemini Live, you can have a natural, free-flowing conversation with Gemini. You can even interrupt it like when you want to add more de…”
   • [claimed-docs] “Make plans with Google Maps and Google Flights”
   • [claimed-docs] “The Gemini app provides quick access to AI features, allowing you to get help with writing, brainstorming, coding, and more, without needing…”
   • [claimed-docs] “get help with writing, brainstorming, coding, and more, without needing to open a web browser.”
   • [claimed-docs] “Start your day with a personalized digest from Gemini. Your Daily Brief understands your rhythms and personal preferences to deliver your to…”
   • [claimed-docs] “If you have access to Gemini Apps with a work or school account, some Gemini mobile app features aren’t available.”
   • [claimed-docs] “Start your day with a personalized digest from Gemini. Your Daily Brief understands your rhythms and personal preferences to deliver your to…”

   proof ↗⚑ flag

   Muse~partialclaimed4/10

   There is clear evidence of an iOS app (App Store reviews cited via apps.apple.com), but no evidence at all of an Android app, and no detailed description of feature parity between platforms. missing for 10: Android app existence, feature-completeness claims for either platform, independent verification of app quality.

   • [claimed-docs] “I find it more pleasant than Gemini or ChatGPT which is my default for this type of work.”
   • [claimed-docs] “I’d been curious to try OpenClaw, but didn’t want to deal with the security concerns or headache of setting it up.”

   proof ↗⚑ flag

Custom bots

1. power-userBuild and share custom assistants with their own instructions and knowledge

   weight 2 · round to Gemini
   Gemini~partialclaimed6/10

   Gemini's "Gems" feature (gemini-docs-9) lets power-users create a custom Gem with its own instructions and requirements, and Gems can be given knowledge via uploaded files/sources (gemini-docs-25), directly matching the core of this story. However, evidence does not confirm a straightforward sharing/publishing mechanism for Gems to other users, nor independent hands-on validation of the feature's robustness. Missing for 10: documentation of sharing/publishing custom Gems with other users, evidence of knowledge-base scope/limits, and independent community corroboration of Gems in practice.

   • [claimed-docs] “To create a custom Gem to meet your goals, provide info about your request and requirements.”
   • [claimed-docs] “You can upload documents, spreadsheets, notebooks, photos, videos, and more to Gemini Apps to get answers, summaries, and insights about you…”

   proof ↗⚑ flag

   Muse—none0/10

   Evidence shows Muse supports personal customization (avatar naming/style, side chats for separate contexts) but nothing about creating a distinct 'assistant' with its own instructions/knowledge base that can be shared with other users, which is the core of this story.

   ⚑ flag

1. ai-native userPerform bulk operations across many items at once

   weight 2 · round to Gemini
   Gemini~partialcommunity3/10

   Gemini supports uploading whole code folders/repos and large codebases (a form of bulk ingestion) and can take actions across connected apps or run scheduled recurring actions, but there is no explicit documentation of a bulk/batch operation feature (e.g., applying an action to many items at once like bulk-editing files, mass-tagging, or batch task execution) as an AI-native automation capability. missing for 10: explicit bulk-action/batch-processing feature, evidence of applying one instruction across many discrete items simultaneously, independent corroboration of this specific capability.

   • [claimed-docs] “To add a code folder: click More Uploads Import Code Upload folder.”
   • [claimed-docs] “To add a code folder: click More Uploads ... Import Code ... Upload folder.”
   • [claimed-docs] “You can make Gemini a part of your daily, weekly, and monthly routines by scheduling recurring actions.”
   • [claimed-docs] “Gemini Apps can connect to other apps to complete your request and give you more helpful responses. With your permission, Gemini can also he…”
   • [community] “I have been using this for about a month and it's a beast, mostly thanks to 2.5pro being SOTA and also how it leverages that huge 1M context…”

   proof ↗⚑ flag

   Muse—none0/10

   No evidence describes Muse performing bulk operations across many items; docs mention goals tracking, avatars, side chats, and tool-building, but nothing about batch/bulk processing of items. The community stress-test post even highlights the agent timing out under load rather than handling bulk tasks smoothly.

   ⚑ flag

2. ai-native userDefine rules that trigger actions automatically on events

   weight 3 · round to Gemini
   Gemini~partialclaimed4/10

   Gemini supports 'scheduling recurring actions' as part of daily/weekly/monthly routines (gemini-docs-8), which is a form of automation, but this is time-based scheduling rather than user-defined conditional rules that trigger on arbitrary events. Connected Apps let Gemini take actions in other apps (gemini-docs-10, gemini-docs-23, gemini-docs-30) but only in response to a direct user request, not an automatic event trigger. Missing for 10: evidence of event-based (not just time-based) trigger conditions, ability to define custom 'if X happens then do Y' rules, and any confirmation of conditional logic beyond fixed recurring schedules.

   • [claimed-docs] “You can make Gemini a part of your daily, weekly, and monthly routines by scheduling recurring actions.”
   • [claimed-docs] “Gemini Apps can connect to other apps to complete your request and give you more helpful responses. With your permission, Gemini can also he…”
   • [claimed-docs] “With your permission, Gemini can also help you take actions, like editing and managing your content in other apps.”
   • [claimed-docs] “Boost productivity: Summarize emails from Gmail, create events in Google Calendar or third-party apps, or search for content across a variet…”

   proof ↗⚑ flag

   Muse—none0/10

   The evidence describes Muse's goal tracking, tool-building, and approval workflows, but there is no mention of user-defined conditional rules or event-triggered automations (e.g., 'when X happens, do Y'). Missing for 10: any documentation of a rules/trigger engine, event-based automation configuration, or examples of users setting conditional actions.

   • [claimed-docs] “The Goals tab is where Muse keeps track of all this for you, and you can interact directly there or talk to it about these tasks in chat.”
   • [claimed-docs] “If a task needs a tool that doesn't exist, your agent builds it for you.”

   proof ↗⚑ flag

3. ai-native userSchedule recurring jobs or workflows

   weight 2 · round to Gemini
   Gemini~partialclaimed6/10

   Gemini docs explicitly confirm scheduling recurring actions ('daily, weekly, and monthly routines') via a dedicated feature (gemini-docs-8), and Daily Brief shows an example of a recurring automated digest (gemini-docs-32/41). However, evidence lacks detail on workflow complexity, chaining multiple steps/tools, error handling, or independent/community validation of this scheduling feature. missing for 10: detail on multi-step workflow scheduling, chaining across apps, reliability/error handling, and independent hands-on confirmation.

   • [claimed-docs] “You can make Gemini a part of your daily, weekly, and monthly routines by scheduling recurring actions.”
   • [claimed-docs] “Start your day with a personalized digest from Gemini. Your Daily Brief understands your rhythms and personal preferences to deliver your to…”
   • [claimed-docs] “Start your day with a personalized digest from Gemini. Your Daily Brief understands your rhythms and personal preferences to deliver your to…”

   proof ↗⚑ flag

   Muse—none0/10

   While Muse has a Goals tab that tracks ongoing tasks and an activity log, there is no evidence describing recurring/scheduled job execution, cron-like automation, or repeat-workflow triggers. missing for 10: explicit scheduling/recurrence feature, evidence of periodic execution, workflow automation configuration.

   ⚑ flag

4. ai-native userVersion, review, and roll back my automations

   weight 1 · round to Muse
   Gemini—none0/10

   No evidence of version control, review workflows, or rollback capabilities for automations (e.g., scheduled actions, Gems, or connected app actions). The evidence only covers scheduling recurring actions and connecting apps, with no mention of versioning, diffing, review approval, or rollback of automations.

   ⚑ flag

   Muse~partialclaimed4/10

   Muse provides an activity log/audit trail and approval cards that support reviewing what the agent has done and plans to do (muse-docs-8, muse-docs-13, muse-docs-10), which covers the 'review' portion of the story. However, there is no evidence of explicit versioning of automations/skills or a rollback mechanism to revert an automation to a prior state — the 'Forget' skill only removes stored information, not automation history. missing for 10: explicit versioning of automations, a rollback/undo feature for agent actions, independent confirmation these review tools work reliably in practice.

   • [claimed-docs] “Tapping on your Muse avatar will show you its full activity log as well as permissions you’ve approved.”
   • [claimed-docs] “Muse shows people a complete audit trail of everything it has done and plans to do.”
   • [claimed-docs] “structured approval cards with clear accept/reject actions, and secure storage for your credentials.”
   • [claimed-docs] “You can also use the Forget skill to have Muse forget information about specific topics or people.”

   proof ↗⚑ flag

Connectors

1. power-userBrowse a directory of third-party apps and connectors and add them to the assistant

   weight 2 · round to Gemini
   Gemini~partialclaimed6/10

   Gemini docs describe a 'Connected Apps' feature that lets users link Gmail, Calendar, Maps, Flights and 'a variety of productivity apps' so Gemini can search/create content and take actions, which matches the connectors-directory concept ([gemini-docs-10],[gemini-docs-17],[gemini-docs-23],[gemini-docs-30],[gemini-docs-33],[gemini-docs-19]). However, the evidence never shows a browsable app-store-like directory UI, doesn't clarify how many third-party (non-Google) apps are included, and there's no independent/hands-on confirmation of the browse-and-add experience. Missing for 10: explicit directory/marketplace UI screenshots or docs, breadth of third-party (non-Google) app listings, independent user corroboration of adding connectors.

   • [claimed-docs] “Gemini Apps can connect to other apps to complete your request and give you more helpful responses. With your permission, Gemini can also he…”
   • [claimed-docs] “Gemini Apps can connect to other apps to complete your request and give you more helpful responses.”
   • [claimed-docs] “With your permission, Gemini can also help you take actions, like editing and managing your content in other apps.”
   • [claimed-docs] “Boost productivity: Summarize emails from Gmail, create events in Google Calendar or third-party apps, or search for content across a variet…”
   • [claimed-docs] “Get started with Connected Apps in Gemini **Important:** For now, Gemini can’t use Connected Apps in Gemini in Google Messages.”
   • [claimed-docs] “Make plans with Google Maps and Google Flights”

   proof ↗⚑ flag

   Muse~partialclaimed3/10

   Muse lets users link specific third-party data sources like email, calendar, Instagram, Facebook, health and finance data (muse-docs-11), which shows some connector-adding capability, but there is no evidence of a browsable directory or marketplace of third-party apps/connectors to explore and add. Missing for 10: an actual app/connector directory UI, discovery/browsing mechanism, and independent confirmation of a marketplace beyond ad-hoc account linking.

   • [claimed-docs] “Link your email, calendar, Instagram, Facebook, health and fitness data, and finances.”

   proof ↗⚑ flag

2. knowledge-workerConnect my cloud drive, email, and calendar so the assistant can search and use them in answers

   weight 3 · round to Gemini
   Gemini✓fullclaimed8/10

   Google's docs describe first-party 'Connected Apps' letting Gemini summarize Gmail, create Calendar events, search across productivity apps, and use personal Gmail/Drive as sources for Deep Research, directly matching the story's cloud drive/email/calendar connector requirement. Missing for 10: independent/hands-on verification of search quality and confirmation that calendar reading (not just event creation) works reliably.

   • [claimed-docs] “Gemini Apps can connect to other apps to complete your request and give you more helpful responses. With your permission, Gemini can also he…”
   • [claimed-docs] “Gemini Apps can connect to other apps to complete your request and give you more helpful responses.”
   • [claimed-docs] “With your permission, Gemini can also help you take actions, like editing and managing your content in other apps.”
   • [claimed-docs] “You can change or add other sources, like your personal Gmail or Drive, for your research. You can also upload files and add NotebookLM note…”
   • [claimed-docs] “Boost productivity: Summarize emails from Gmail, create events in Google Calendar or third-party apps, or search for content across a variet…”
   • [claimed-docs] “Get started with Connected Apps in Gemini **Important:** For now, Gemini can’t use Connected Apps in Gemini in Google Messages.”

   proof ↗⚑ flag

   Muse~partialclaimed6/10

   Muse docs explicitly support linking email and calendar (and other data sources) with approval/permission controls, but no evidence mentions a cloud drive connector (e.g., Google Drive/Dropbox), and there's no hands-on confirmation that these connected sources are actually searched/used in answers beyond permission approval cards. missing for 10: explicit cloud drive integration, independent evidence of search/use in answers.

   • [claimed-docs] “Link your email, calendar, Instagram, Facebook, health and fitness data, and finances.”
   • [claimed-docs] “structured approval cards with clear accept/reject actions, and secure storage for your credentials.”
   • [claimed-docs] “Tapping on your Muse avatar will show you its full activity log as well as permissions you’ve approved.”

   proof ↗⚑ flag

Analysis

1. power-userHave the assistant write and run code on my data to produce charts, computed answers, and downloadable files

   weight 3 · round to Muse
   Gemini—none0/10

   The evidence pack shows Gemini can import/upload code folders and GitHub repos and get 'insights' from uploaded documents/spreadsheets, but there is no evidence of an actual code-execution/sandbox feature that writes and runs code to produce charts, computed answers, or downloadable output files. No docs or community reports describe this specific data-analysis-with-code-execution workflow.

   • [claimed-docs] “To add a GitHub repository: More Uploads Import Code and enter the GitHub repository or branch URL.”
   • [claimed-docs] “To add a code folder: click More Uploads Import Code Upload folder.”
   • [claimed-docs] “You can upload documents, spreadsheets, notebooks, photos, videos, and more to Gemini Apps to get answers, summaries, and insights about you…”

   proof ↗⚑ flag

   Muse~partialcommunity4/10

   Muse's docs claim it 'has its own computer, with a file system and a terminal' and can 'write its own code and build the tools a task needs,' which supports general code-execution capability, but there's no explicit mention of producing charts, computed answers, or downloadable files for user data analysis. A community stress-test report also notes the agent's control plane can time out under load, raising doubts about reliability for heavier computational tasks. Missing for 10: explicit documentation or examples of chart generation, data analysis outputs, downloadable file creation, and independent verification of successful code-execution results.

   • [claimed-docs] “Muse has its own computer, with a file system and a terminal, so it can write its own code and build the tools a task needs.”
   • [claimed-docs] “If a task needs a tool that doesn't exist, your agent builds it for you.”
   • [community] “Blog post title/finding: the author stress-tested Meta Muse until its agent control plane started timing out, exposing failure points in the…”

   proof ↗⚑ flag

Artifacts

1. knowledge-workerHave the assistant create and iteratively edit documents, presentations, and other files I can export

   weight 2 · round to Gemini
   Gemini~partialclaimed4/10

   Evidence documents Gemini's ability to generate and iteratively edit images (Nano Banana) with export/download at set resolutions, and general writing assistance, but there is no evidence of a dedicated document or presentation creation/editing workflow (e.g., a canvas-style doc/slide editor) with export to file formats. Missing for 10: explicit documentation of creating/iterating on text documents or slide decks, and exporting them to standard file formats (docx/pptx/pdf).

   • [claimed-docs] “You can create captivating images in seconds with Nano Banana 2. From work, play, or anything in between, Gemini Apps can help you generate …”
   • [claimed-docs] “Local edits: Making quick and specific changes to parts of an image.”
   • [claimed-docs] “Character consistency: Maintain the look of a person or character across various generated images, including the ability to combine multiple…”
   • [claimed-docs] “Download images at at 2K resolution with a Google AI plan or at 1K without an AI plan.”
   • [claimed-docs] “Blend text, images, and video to bring your ideas to life.”
   • [claimed-docs] “The Gemini app provides quick access to AI features, allowing you to get help with writing, brainstorming, coding, and more, without needing…”

   proof ↗⚑ flag

   Muse—none0/10

   Muse's evidence focuses on its file system/terminal, tool-building, goals, avatars, and privacy controls, but nothing describes creating or iteratively editing documents, presentations, or exportable files for knowledge-work tasks. missing for 10: any mention of document/presentation creation, editing UI, or export functionality.

   ⚑ flag

Files

1. knowledge-workerUpload documents, spreadsheets, and PDFs and get accurate analysis of their contents

   weight 3 · round to Gemini
   Gemini✓fullcommunity8/10

   First-party docs explicitly state users can upload documents, spreadsheets, and more to get answers, summaries, and insights (gemini-docs-25), and independent hands-on evidence corroborates accurate document/PDF analysis (a fintech user reporting 96% OCR accuracy on PDFs, comm-17) plus praise for NotebookLM's ability to comprehend large source corpora (comm-19). Missing for 10: dedicated evidence on spreadsheet-specific accuracy and broader independent benchmarking across document types beyond the single fintech PDF case.

   • [claimed-docs] “You can upload documents, spreadsheets, notebooks, photos, videos, and more to Gemini Apps to get answers, summaries, and insights about you…”
   • [community] “I work in fintech and we replaced an OCR vendor with Gemini at work for ingesting some PDFs... Processing time went from something like 12 m…”
   • [community] “I've been using NotebookLM powered by Gemini 2.0 for three projects and it is really powerful for comprehending large corpuses you can't pos…”

   proof ↗⚑ flag

   Muse—none0/10

   No evidence in the pack describes Muse handling document/spreadsheet/PDF uploads or analyzing their contents; the material focuses on agent features like avatars, goals, side chats, permissions, and tool-building, not file ingestion or analysis accuracy.

   ⚑ flag

Memory

1. power-userHave the assistant remember relevant context from previous chats and apply it in new conversations

   weight 3 · round to Gemini
   Gemini✓fullclaimed8/10

   Gemini docs explicitly describe a personalization feature where 'the memory of your past Gemini chats' informs new conversations, plus user controls to review/delete that activity, confirming both the capability and its persistence across sessions. Missing for 10: independent hands-on validation of cross-chat memory recall accuracy and more detail on scope/duration of retained context.

   • [claimed-docs] “You can get a personalized experience in Gemini Apps based on: The memory of your past Gemini chats”
   • [claimed-docs] “You can review your prompts, delete your Gemini Apps activity, and turn off Keep Activity in My Activity at any time.”

   proof ↗⚑ flag

   Muse~partialclaimed5/10

   Muse's docs imply persistent memory (a 'Forget skill' to remove remembered info about topics/people, plus 'side chats' for separate context threads and a Goals tab tracking ongoing tasks) suggesting it retains and reuses context across conversations, but there is no first-party or hands-on description of how memory is surfaced or applied in new chats. Missing for 10: explicit documentation of cross-chat memory recall/application, independent verification that remembered context actually surfaces in new conversations, and detail on memory scope/limits.

   • [claimed-docs] “You can also use the Forget skill to have Muse forget information about specific topics or people.”
   • [claimed-docs] “some people still wanted separate context for certain topics — which made sense as projects grew more complex. So we built side chats.”
   • [claimed-docs] “So we built side chats.”
   • [claimed-docs] “The Goals tab is where Muse keeps track of all this for you, and you can interact directly there or talk to it about these tasks in chat.”

   proof ↗⚑ flag

2. power-userSet persistent custom instructions and preferences that shape every response

   weight 1 · round to Gemini
   Gemini~partialclaimed5/10

   Gemini offers a 'memory of past chats' personalization feature (gemini-docs-18) and custom Gems that let users pre-set instructions/goals (gemini-docs-9), which together approximate persistent customization, but there's no documented single 'custom instructions' setting that explicitly shapes every response across all chats. Missing for 10: explicit persistent instruction/preference settings applied globally to every response, independent verification of memory consistency, and detail on how memory interacts with different chat sessions.

   • [claimed-docs] “You can get a personalized experience in Gemini Apps based on: The memory of your past Gemini chats”
   • [claimed-docs] “To create a custom Gem to meet your goals, provide info about your request and requirements.”
   • [claimed-docs] “Start your day with a personalized digest from Gemini. Your Daily Brief understands your rhythms and personal preferences to deliver your to…”

   proof ↗⚑ flag

   Muse—none0/10

   No evidence describes a persistent custom-instructions or preference-setting feature that shapes all responses; docs mention forget skill, avatars, side chats, and permissions but nothing about setting standing instructions/preferences.

   ⚑ flag

Projects

1. knowledge-workerOrganize related chats and files into a project or space that shares context and instructions

   weight 2 · round to Gemini
   Gemini✓fullcommunity7/10

   Gemini's 'Notebooks' feature explicitly provides a continuous, focused space that remembers sources, instructions, and ongoing chat history, and lets users upload documents, code, and other files into that same organized context (gemini-docs-11, gemini-docs-24, gemini-docs-25, gemini-docs-29). Custom Gems (gemini-docs-9) further let users set persistent instructions for recurring tasks, and independent commentary confirms NotebookLM/Notebooks are genuinely useful for organizing large source sets into a coherent project workspace (gemini-comm-19), though that same source flags UI/display shortcomings. Missing for 10: no first-party doc detailing multi-chat organization within one persistent 'project' the way competitors define it, and no hands-on evidence of shared-instruction consistency across many chats in the same notebook.

   • [claimed-docs] “Notebooks provide a continuous chat experience that remembers your sources, instructions, and ongoing discussions.”
   • [claimed-docs] “you can use notebooks to organize your projects in a dedicated, focused space.”
   • [claimed-docs] “You can upload documents, spreadsheets, notebooks, photos, videos, and more to Gemini Apps to get answers, summaries, and insights about you…”
   • [claimed-docs] “You can change or add other sources, like your personal Gmail or Drive, for your research. You can also upload files and add NotebookLM note…”
   • [claimed-docs] “To create a custom Gem to meet your goals, provide info about your request and requirements.”
   • [community] “I've been using NotebookLM powered by Gemini 2.0 for three projects and it is really powerful for comprehending large corpuses you can't pos…”

   proof ↗⚑ flag

   Muse~partialclaimed4/10

   Muse offers 'side chats' for separate context on topics as work grows complex and a Goals tab for tracking tasks, suggesting some contextual organization, but there is no explicit 'project/space' construct that bundles chats+files+shared instructions together. Missing for 10: explicit project/workspace container, file-attachment grouping, shared custom instructions across chats, and independent verification of how side chats share or isolate context.

   • [claimed-docs] “The Goals tab is where Muse keeps track of all this for you, and you can interact directly there or talk to it about these tasks in chat.”
   • [claimed-docs] “some people still wanted separate context for certain topics — which made sense as projects grew more complex. So we built side chats.”
   • [claimed-docs] “So we built side chats.”

   proof ↗⚑ flag

Images

1. knowledge-workerGenerate and edit images from natural-language prompts

   weight 2 · round to Gemini
   Gemini✓fullclaimed8/10

   Gemini docs explicitly describe generating and editing images via natural-language prompts (Nano Banana 2), including local edits, character consistency, blending images, and resolution export options. missing for 10: independent hands-on corroboration of image editing quality and no community evidence testing this specific feature.

   • [claimed-docs] “You can create captivating images in seconds with Nano Banana 2. From work, play, or anything in between, Gemini Apps can help you generate …”
   • [claimed-docs] “Local edits: Making quick and specific changes to parts of an image.”
   • [claimed-docs] “Character consistency: Maintain the look of a person or character across various generated images, including the ability to combine multiple…”
   • [claimed-docs] “You can create captivating images in seconds with Nano Banana 2.”
   • [claimed-docs] “Download images at at 2K resolution with a Google AI plan or at 1K without an AI plan.”
   • [claimed-docs] “Blend text, images, and video to bring your ideas to life.”

   proof ↗⚑ flag

   Muse—none0/10

   The evidence pack contains no mention of image generation, editing, or any visual/multimodal content creation capability for Muse; it focuses on agent/task automation, avatars, chat organization, and privacy controls. missing for 10: any documentation of image generation from prompts, image editing tools, or multimodal output examples.

   ⚑ flag

2. knowledge-workerShare screenshots and photos and have the assistant accurately interpret what is in them

   weight 2 · round to Gemini
   Gemini!disputedcontradicted4/10

   Docs confirm users can upload photos/screenshots and get insights (gemini-docs-25) and get screen-context help via 'Hey Google' (gemini-docs-6), but hands-on reports show real accuracy failures: Gemini generated 'wildly inaccurate bounding boxes' on images (gemini-comm-18) and failed to correctly interpret a manipulated photo, missing key details even in the latest version (gemini-comm-12). A positive OCR use case exists (gemini-comm-17) but that's for PDFs, not general screenshot/photo scene interpretation, so the core 'accurately interpret' claim is contradicted by concrete hands-on failures. Missing for 10: independent benchmarks specifically on screenshot/UI interpretation accuracy, and resolution of the documented bounding-box/detail-recognition failures.

   • [claimed-docs] “You can upload documents, spreadsheets, notebooks, photos, videos, and more to Gemini Apps to get answers, summaries, and insights about you…”
   • [claimed-docs] “On Android, say “Hey Google” to ask Gemini for help with what’s on your screen”
   • [community] “Unfortunately Gemini really seems to struggle on this, and no matter how we tried prompting it, it would generate wildly inaccurate bounding…”
   • [community] “It still failed my image identification test (a photoshopped picture of a dog with 5 legs)... Gemini 3 however, while still failing, at leas…”
   • [community] “I work in fintech and we replaced an OCR vendor with Gemini at work for ingesting some PDFs... Processing time went from something like 12 m…”

   proof ↗⚑ flag

   Muse—none0/10

   No evidence in the pack discusses image, screenshot, or photo interpretation capabilities of Muse; all citations focus on agent architecture, avatars, goals, side chats, and privacy controls. Missing for 10: any mention of image/vision input support, screenshot sharing, or accuracy of visual interpretation.

   ⚑ flag

Voice

1. knowledge-workerHave a natural, real-time voice conversation with the assistant

   weight 2 · round to Gemini
   Gemini✓fullclaimed8/10

   Gemini Live is explicitly documented to support natural, free-flowing, interruptible voice conversations where Gemini talks back verbally in real time, directly matching the story. Missing for 10: independent/hands-on community corroboration specifically validating the voice conversation experience (community evidence covers other Gemini features/models but not Live voice interactions).

   • [claimed-docs] “With Gemini Live, you can have a natural, free-flowing conversation with Gemini. You can even interrupt it like when you want to add more de…”
   • [claimed-docs] “With Gemini Live, you can have a natural, free-flowing conversation with Gemini.”
   • [claimed-docs] “With Gemini Live, you can: * **Talk back and forth:** Talk to Gemini without typing, and Gemini will respond back verbally.”
   • [claimed-docs] “you can have a natural, free-flowing conversation with Gemini. You can even interrupt it like when you want to add more details or change th…”

   proof ↗⚑ flag

   Muse—none0/10

   No evidence describes real-time voice conversation capability for Muse; the evidence pack focuses on agent tool-building, goals, side chats, avatar, and privacy features, with no mention of voice interaction or speech interface. Missing for 10: any documentation of voice input/output, real-time conversational voice mode, or hands-on account of speaking with Muse.

   ⚑ flag

1. ai-native userDo everything through the API that I can do in the UI

   weight 2 · round drawn
   Gemini—none0/10

   The evidence pack details many Gemini Apps UI-only features (Gems, Deep Research, Connected Apps, Daily Brief, Live conversations, Notebooks, scheduling) with no corresponding API documentation showing these are exposed programmatically. Community evidence (e.g., gemini-comm-11) even notes the API/AI Studio path is more restricted (capped temperature, hidden top_k) than the full product, reinforcing that API and UI capability sets are not equivalent.

   • [claimed-docs] “You can conduct in-depth and real-time research on almost any subject with Deep Research in Gemini Apps.”
   • [claimed-docs] “To create a custom Gem to meet your goals, provide info about your request and requirements.”
   • [claimed-docs] “Gemini Apps can connect to other apps to complete your request and give you more helpful responses. With your permission, Gemini can also he…”
   • [claimed-docs] “With Gemini Live, you can have a natural, free-flowing conversation with Gemini. You can even interrupt it like when you want to add more de…”
   • [claimed-docs] “Start your day with a personalized digest from Gemini. Your Daily Brief understands your rhythms and personal preferences to deliver your to…”
   • [community] “Temperature continues to be gated to maximum of 0.2, and there's still the hidden top_k of 64 that you can't turn off. I love the google AI …”

   proof ↗⚑ flag

   Muse—none0/10

   No evidence pack mentions a public API for Muse at all; all evidence describes UI features (avatars, Goals tab, side chats, activity log) with no mention of programmatic access. Absence of evidence for an applicable capability is 'none'.

   ⚑ flag

2. ai-native userExport all of my data in open formats and leave

   weight 3 · round drawn
   Gemini—none0/10

   Evidence covers activity deletion/review (gemini-docs-31) but no mention of exporting data in open/portable formats or data-export tooling for leaving the platform. Missing for 10: any documentation of a data export/download feature (e.g., Google Takeout integration), open-format export options, or independent confirmation of data portability.

   • [claimed-docs] “You can review your prompts, delete your Gemini Apps activity, and turn off Keep Activity in My Activity at any time.”

   proof ↗⚑ flag

   Muse—none0/10

   There is no evidence of a data export feature or open-format data portability in Muse; the pack only mentions a 'Forget' privacy skill and audit trail, not export/download of user data.

   ⚑ flag

1. ai-native userChoose where my data is stored (region/residency)

   weight 2 · round drawn
   Gemini—none0/10

   The evidence pack covers Gemini's features and privacy/data-use settings (e.g., activity retention, human review opt-outs) but contains no mention of data residency or regional storage controls for AI-native/enterprise users. missing for 10: any documentation of region selection, data residency guarantees, or enterprise data-location controls.

   ⚑ flag

   Muse—none0/10

   No evidence in the pack mentions data residency, region selection, or storage location controls for Muse users.

   ⚑ flag

2. ai-native userPrevent my data from being used to train AI models

   weight 3 · round to Gemini
   Gemini~partialclaimed7/10

   Google's support docs state that chats and uploaded files in Gemini Apps are not reviewed by humans or used to improve generative AI models, and users can manage/delete their activity via 'My Activity' and toggle 'Keep Activity' off (gemini-docs-38, gemini-docs-31). However, a separate doc notes that audio/video from Gemini Live can be used to train models unless the user opts out, showing the training-data control is feature-specific rather than a single unified setting (gemini-docs-37). Missing for 10: a clear, centralized opt-out control covering all Gemini surfaces (not just chat text), independent/hands-on verification that opted-out data is truly excluded from training, and clarity for enterprise/Workspace accounts.

   • [claimed-docs] “Your chats and uploaded files in Gemini Apps won’t be reviewed by human reviewers or otherwise used to improve generative AI models.”
   • [claimed-docs] “You can let Google use your audio and Gemini Live videos and screenshares to improve and develop its services, including training generative…”
   • [claimed-docs] “You can review your prompts, delete your Gemini Apps activity, and turn off Keep Activity in My Activity at any time.”

   proof ↗⚑ flag

   Muse—none0/10

   The evidence pack covers Muse's agent features, permissions, forget skill, and audit trail, but contains no mention of any opt-out or control over whether user data is used to train AI models. missing for 10: explicit opt-out/consent setting for model training, any privacy policy language addressing training-data usage.

   ⚑ flag

3. ai-native userControl data retention and deletion

   weight 2 · round to Gemini
   Gemini✓fullclaimed8/10

   Google's support docs explicitly describe controls to review prompts, delete Gemini Apps activity, and turn off 'Keep Activity' (gemini-docs-31), plus explicit statements that chats/files are not used for model training by default (gemini-docs-38) while audio/video in Gemini Live can be opted in/out of training use (gemini-docs-37) — directly matching retention/deletion control for an AI-native user. Missing for 10: independent/hands-on verification that deletion actually removes data, and detail on data export or full account-level deletion workflows.

   • [claimed-docs] “You can review your prompts, delete your Gemini Apps activity, and turn off Keep Activity in My Activity at any time.”
   • [claimed-docs] “You can let Google use your audio and Gemini Live videos and screenshares to improve and develop its services, including training generative…”
   • [claimed-docs] “Your chats and uploaded files in Gemini Apps won’t be reviewed by human reviewers or otherwise used to improve generative AI models.”

   proof ↗⚑ flag

   Muse~partialclaimed6/10

   Muse offers a 'Forget' skill to remove information about specific topics/people and provides an activity log/audit trail of actions, giving users some visibility and control, but there's no documentation of full account/data deletion, export, or granular retention policy settings. Missing for 10: explicit data export/deletion controls, retention period settings, and independent verification that 'Forget' fully purges underlying data rather than just suppressing recall.

   • [claimed-docs] “You can also use the Forget skill to have Muse forget information about specific topics or people.”
   • [claimed-docs] “Muse shows people a complete audit trail of everything it has done and plans to do.”
   • [claimed-docs] “Tapping on your Muse avatar will show you its full activity log as well as permissions you’ve approved.”

   proof ↗⚑ flag

4. ai-native userOpt out of telemetry and usage tracking

   weight 2 · round to Gemini
   Gemini~partialclaimed6/10

   Docs show Gemini provides some privacy controls: reviewing/deleting prompts and turning off 'Keep Activity' (gemini-docs-31), and settings around whether audio/video/chats are used to improve models (gemini-docs-37, gemini-docs-38). This addresses usage-history and training-data opt-out but not a full 'telemetry/usage tracking' opt-out (e.g., diagnostic/product analytics separate from chat history) and there's no independent verification of these controls' effectiveness. Missing for 10: explicit documentation of a general telemetry/analytics opt-out toggle beyond activity/training-data settings, and independent/hands-on confirmation that opting out actually stops tracking.

   • [claimed-docs] “You can review your prompts, delete your Gemini Apps activity, and turn off Keep Activity in My Activity at any time.”
   • [claimed-docs] “You can let Google use your audio and Gemini Live videos and screenshares to improve and develop its services, including training generative…”
   • [claimed-docs] “Your chats and uploaded files in Gemini Apps won’t be reviewed by human reviewers or otherwise used to improve generative AI models.”

   proof ↗⚑ flag

   Muse—none0/10

   No evidence pack items mention a telemetry/usage-tracking opt-out setting; there is a 'Forget skill' for topic memory and privacy page references, but nothing about disabling telemetry or usage analytics collection. Missing for 10: any documentation of a telemetry/analytics opt-out toggle, privacy policy language on usage data collection, or user reports confirming such a control exists.

   • [claimed-docs] “You can also use the Forget skill to have Muse forget information about specific topics or people.”
   • [claimed-docs] “Muse shows people a complete audit trail of everything it has done and plans to do.”

   proof ↗⚑ flag

Research

1. knowledge-workerLaunch a deep research run that autonomously searches many sources and returns a cited report

   weight 3 · round to Gemini
   Gemini✓fullclaimed7/10

   Gemini Apps has a documented Deep Research feature that conducts in-depth, real-time research across sources and allows adding personal sources (Gmail, Drive, uploads, NotebookLM notebooks) for the research, matching the autonomous multi-source research story. missing for 10: explicit documentation of citation formatting in the final report and independent hands-on evidence of report quality/citation accuracy from third parties.

   • [claimed-docs] “You can conduct in-depth and real-time research on almost any subject with Deep Research in Gemini Apps.”
   • [claimed-docs] “You can change or add other sources, like your personal Gmail or Drive, for your research. You can also upload files and add NotebookLM note…”

   proof ↗⚑ flag

   Muse—none0/10

   No evidence describes Muse performing a deep research run that autonomously searches multiple sources and returns a cited report; the pack focuses on avatar personalization, goals/side chats, permissions, and tool-building, none of which document a research/citation workflow. Missing for 10: any mention of multi-source search, report generation, or citation output.

   ⚑ flag

2. knowledge-workerGet answers grounded in current web results with citations back to the sources

   weight 2 · round to Gemini
   Gemini~partialclaimed6/10

   Gemini's Deep Research feature explicitly supports 'in-depth and real-time research on almost any subject,' implying grounded, current-web-based answers, and users can add further sources for research context. However, the evidence pack never explicitly documents inline citation links back to specific web sources, nor independent confirmation that citations are reliably shown. Missing for 10: explicit documentation of citation/source-linking UI, independent verification that citations are accurate and consistently displayed.

   • [claimed-docs] “You can conduct in-depth and real-time research on almost any subject with Deep Research in Gemini Apps.”
   • [claimed-docs] “You can change or add other sources, like your personal Gmail or Drive, for your research. You can also upload files and add NotebookLM note…”

   proof ↗⚑ flag

   Muse—none0/10

   No evidence in the pack describes Muse performing web search with cited sources for research answers; the material focuses on agent architecture, avatars, permissions, and goals rather than grounded citation-backed answers.

   ⚑ flag

Data controls

1. knowledge-workerExport my complete chat history and account data

   weight 1 · round drawn
   Gemini—none0/10

   The evidence only covers reviewing and deleting Gemini activity via My Activity (gemini-docs-31) and privacy settings for Live audio (gemini-docs-37, gemini-docs-38), but there is no mention of exporting chat history or account data (e.g., via Google Takeout or a dedicated export tool). missing for 10: any documentation of an export/download feature for chat history or account data, independent confirmation of export completeness.

   • [claimed-docs] “You can review your prompts, delete your Gemini Apps activity, and turn off Keep Activity in My Activity at any time.”

   proof ↗⚑ flag

   Muse—none0/10

   Evidence shows a 'Forget' skill and audit trail/activity log, but there is no mention of a data export or account data download feature for chat history or account data. missing for 10: export/download tool for chat history, account data export functionality, documentation of data portability process.

   • [claimed-docs] “You can also use the Forget skill to have Muse forget information about specific topics or people.”
   • [claimed-docs] “Muse shows people a complete audit trail of everything it has done and plans to do.”

   proof ↗⚑ flag

2. knowledge-workerControl whether my conversations are used to train models

   weight 3 · round to Gemini
   Gemini✓fullclaimed8/10

   Google's own support docs state that by default chats/uploaded files aren't used to improve generative AI models unless a user opts in via 'Keep Activity', and that users can review, delete activity, or turn off Keep Activity at any time; separately, users must explicitly consent to let Google use Gemini Live audio/video for model training. This gives knowledge-workers clear, documented control over whether conversations feed model training. Missing for 10: independent/hands-on verification that these settings work as described and clarity on enterprise/Workspace account defaults.

   • [claimed-docs] “You can review your prompts, delete your Gemini Apps activity, and turn off Keep Activity in My Activity at any time.”
   • [claimed-docs] “You can let Google use your audio and Gemini Live videos and screenshares to improve and develop its services, including training generative…”
   • [claimed-docs] “Your chats and uploaded files in Gemini Apps won’t be reviewed by human reviewers or otherwise used to improve generative AI models.”

   proof ↗⚑ flag

   Muse—none0/10

   The evidence pack shows privacy-adjacent features like a 'Forget skill' for memory and audit trails/permissions, but nothing addresses whether users can opt their conversations out of model training specifically. This is a fair axis for a personal AI agent product, but no evidence documents a training-data control. Missing for 10: any documentation of a training opt-out setting, data-usage policy toggle, or explicit statement about whether conversations are used for model training.

   • [claimed-docs] “You can also use the Forget skill to have Muse forget information about specific topics or people.”
   • [claimed-docs] “Muse shows people a complete audit trail of everything it has done and plans to do.”

   proof ↗⚑ flag