Google is expanding Gemini with notes for in-person meetings, interactive spreadsheet views, and new features involving media and health data. This mainly affects you if you already work with Google Meet, Google Sheets, or other Google services. The updates show how Artificial Intelligence (AI) is moving out of a separate chat window and into everyday tools.
What changes in meetings
Gemini could already record conversations in Google Meet video calls, transcribe them, and summarize the main points afterward. According to the report on the new Meet notes, professional teams can now use the feature for in-person meetings as well. Meet therefore becomes a meeting aid even when everyone is sitting in the same room.
One concrete example is a team session in the office. Instead of asking one person to discuss the subject and write the minutes at the same time, the team can have Gemini transcribe the conversation and summarize its central points. A second example is a hybrid routine in which a team meets by video one day and in person the next. In principle, both formats can now use the same note-taking process.
Availability is the immediate limitation. The source explicitly says that not every Google Meet user has access to the feature yet. It does not specify eligible subscriptions, prices, supported languages, or a complete rollout schedule.
For users in Switzerland, it therefore remains unclear when the in-person notes will appear and which accounts will receive them. The report also provides no information about the quality of German-language or multilingual transcription. If you use the feature to document a meeting, the AI summary is better treated as a working document than as automatically authoritative minutes.
What Sheets canvas does with spreadsheets
Sheets canvas gives Google’s spreadsheet application a visual layer. In this context, a canvas is an interactive view that presents data from rows and columns as a small application. You tell Gemini what kind of view you need through a prompt, meaning an instruction written in ordinary language.
Google lists interactive dashboards and custom planning views among the examples. A dashboard is a compact display of relevant data and controls. According to the provider, Sheets canvas can organize study progress, seating charts, sports statistics, school projects, or wedding planning without requiring you to write code.
The practical distinction from a separately prepared presentation is synchronization. Changes in the canvas and the original spreadsheet are supposed to remain aligned automatically. If you create an event seating chart from a spreadsheet and alter the underlying entries, for example, the visual view should update with them.
According to Google, you can start by opening a spreadsheet, selecting the Gemini icon, and choosing “create canvas.” On the same page, the company continues to label generative AI, meaning systems that automatically produce new content, as experimental. The examples and promised synchronization are provider claims and have not been independently verified in the supplied sources.
What media and health data add
Gemini’s expansion is not confined to office work. Google now lets you turn off visible watermarks on AI-generated images, videos, and music. The “Media watermark” setting is available in Gemini and Google’s Flow video tool, removing the visible sparkle in the lower-right corner of content produced with the named Google models.
The files are not supposed to become entirely unmarked. According to the report on optional visible watermarks, invisible SynthID markers and embedded provenance metadata remain. Gemini or Google Search should be able to use those markers to check whether content was AI-generated.
This creates a clear trade-off in professional use. A communications team can place an AI-generated image or video in a design without a conspicuous logo. At the same time, viewers have a harder time recognizing its AI origin at a glance. Google plans to extend the setting to Search but says it will not offer the toggle in countries that require visible watermarks; the source does not provide a specific answer for Switzerland.
Gemini’s role becomes more personal when health data is involved. Abbott and Google plan to integrate data from Abbott’s Lingo continuous glucose monitor into the Google Health app. According to the report on the Abbott partnership, this gives Google’s Gemini-powered health coaching service access to another source of personal health information.
Users will be able to view glucose trends alongside other information in the app. However, the brief report does not name a price, launch date, or list of supported countries. It also does not explain how the data will be stored or what specific guidance the health coaching service will derive from it. Availability in Switzerland therefore cannot be confirmed from the supplied information.
What is behind the rapid expansion
These product features are arriving during a period of fast model updates. According to another report, Google released Gemini 3.7 Flash only three weeks after Gemini 3.6 Flash. A model is the underlying AI system that processes text and documents or performs tasks.
Google describes Gemini 3.7 Flash as its most capable work model so far for programming and automated AI tasks. In FrontierCode, a standardized performance test, the result increased from 34.4 to 43.6 percent according to Google. In the DeepSWE benchmark, it rose from 49.0 to 65.3 percent. Google’s own measurements also indicate improvements in web development, document understanding, and business process automation.
These results come from the provider and have not been independently verified in the supplied sources. The report on Gemini 3.7 Flash gives an introductory price of $0.75 per million input tokens and $3.75 per million output tokens. Tokens are small units into which an AI model divides text.
This price applies to technical access to the model and is 50 percent lower than Gemini 3.6 Flash until the end of the year. It does not reveal what Meet notes, Sheets canvas, or health coaching will cost ordinary Google users. The sources provide no reliable consumer or Workspace pricing for those features.
Pros and Cons of the new Gemini features
Pros:
- Less manual documentation – Gemini can transcribe conversations and summarize key points from video and in-person meetings.
- More accessible spreadsheets – Sheets canvas turns existing data into visual views through prompts without requiring programming skills.
- Up-to-date displays – The canvas and original spreadsheet are designed to remain synchronized, reducing repeated data transfers.
- Cleaner media layouts – Visible watermarks can be removed while invisible provenance markers are supposed to remain embedded.
Cons:
- Unclear availability – Not every Meet account receives the new notes, while complete country and plan details are also missing for the other features.
- Weaker visual disclosure – Without a visible watermark, AI-generated material is harder to recognize immediately.
- More personal data use – Adding glucose readings gives Gemini access to another source of personal health information.
- Provider-led performance claims – The reported model improvements and benchmark results are based on Google’s own measurements.
What this means for you
For beginners: The simplest starting point is a task whose result you can easily check. In an existing spreadsheet, you can open the Gemini icon, choose “create canvas,” and describe a basic view such as a study tracker or seating chart. Compare the result with the original data afterward rather than accepting the visual presentation without review.
If in-person notes are available in your Meet account, start with an internal meeting in which participants know that Gemini is processing the conversation. You can then check whether the summary covers the central points. The sources describe the feature but offer no independently verified information about its accuracy.
For advanced users: You can gain more value by treating the features as parts of a connected workflow. A team can use Meet to document meeting outcomes and turn existing project data into a synchronized overview with Sheets canvas. For AI-generated media, you can also make a deliberate choice between visible labeling and a design without a visible watermark, provided the setting is available in your country.
Health data warrants a more cautious assessment. For now, the Abbott integration mainly promises to show glucose trends inside the Google Health app. The short report does not explain what the Gemini coaching service will derive from those trends or how widely the service will be available.
Google is turning Gemini into a connecting layer across meetings, spreadsheets, media, and personal data. Its practical value is clearest when structured information already exists and the system can reduce routine work. Actual availability, output quality, and the treatment of increasingly personal data remain unresolved, and those issues will determine whether a convenient feature also becomes a dependable working tool.
Sources
- Google Meet: So fertigt Gemini jetzt auch Notizen in Präsenz-Meetings an – t3n, 2026-08-14
- Bring your spreadsheet data to life with Sheets canvas – Google, 2026-08-13
- Googles neues Gemini 3.7 Flash soll Claude Sonnet 5 und GPT-5.6 Terra bei der Codequalität übertreffen – THE DECODER, 2026-08-13
- You can now turn off Google Gemini’s visible watermarks – The Verge, 2026-08-14
- Google AI health coach to use Abbott glucose data – AI News, 2026-08-14
