Google AppSheet

From PRIMO.ai
Jump to navigation Jump to search

YouTube ... Quora ...Google search ...Google News ...Bing News

AppSheet is Google's no-code platform for building mobile and web apps and automated workflows on top of data that a business already keeps, such as Google Sheets, Microsoft Excel, Cloud SQL, Salesforce, or AppSheet's own built-in database. Instead of writing code, a creator points AppSheet at a table of data or describes a process in plain language, and the platform generates an app with forms, lists, maps, charts, and rules that runs on iOS, Android, and in a web browser. Changes that people make in the app sync back to the connected data source, and automations can send notifications, generate emails and reports, or update data across connected sources when something happens. Google positions Gemini as an AI collaborator inside AppSheet, so one of the fastest ways to start an app is now to describe the idea and let Gemini propose the tables and columns.

AppSheet began as a Seattle startup founded in 2014 by Praveen Seshadri, a Microsoft veteran of more than a decade, together with Brian Sabino, a former student in Seshadri's database systems class at Cornell University. Google Cloud acquired the company in January 2020 for an undisclosed sum, at a time when more than 200,000 apps had been deployed with AppSheet and over 18,000 active app creators were building with it each month. Since July 2023, AppSheet Core licenses have been included at no extra cost for domain-verified users of most Google Workspace business, enterprise, frontline, nonprofit, and education editions, which made AppSheet a standard part of Workspace rather than a separate purchase. That bundling matters for AI because it puts a governed app builder, and now Gemini, within reach of ordinary office workers, often called citizen developers.

AI now enters AppSheet at three points. Gemini for App Creation, included with every paid AppSheet license including the Core licenses bundled with Workspace, turns a description of a business process into a proposed data structure and a working app. Gemini in AppSheet Solutions, included with AppSheet Enterprise Plus, adds AI tasks to automations that extract information from photos, PDFs, and text, pull table rows out of documents, categorize records, and summarize them. Since November 2025, an AppSheet MCP Server in private preview for Enterprise Plus customers has used the Model Context Protocol (MCP) to expose existing AppSheet apps as tools that outside AI agents can call, carrying the app's business logic and guardrails with them.

AppSheet's 2026 is a story of consolidation as much as AI. After a series of outages, the product team announced in May 2026 that engineering would focus on stability, availability, bug fixes, and customer support, with only a limited set of key features shipping and long-running preview features either finished or turned down. Meanwhile Google has launched newer AI builders that overlap with parts of AppSheet's territory, including Sheets canvas for Gemini-generated mini-apps inside Google Sheets, Workspace Studio for agentic automation across Workspace apps, and Opal from Google Labs for AI mini-apps and workflows. AppSheet's distinctive strengths are a real data model, user sign-in and row-level security filters, offline mobile use, and automations that keep running in the background whether or not anyone has the app open.


AppSheet starts from data rather than from code: point it at the information a team already keeps, or describe the process to Gemini, and it becomes a working app with forms, rules, and automations, while the data, the permissions, and the approvals stay where people can see them.


Mechanisms

Every AppSheet app is an app definition that AppSheet stores in its own cloud, layered over one or more tables of data. Each table maps to a worksheet or database table, and each column has a type such as Text, Date, Price, Image, LatLong, or Ref, which links a row to a row in another table. Virtual columns compute values on the fly with spreadsheet-like expressions, and slices are filtered subsets of a table that behave like tables of their own. On top of the data, views decide how information is shown, actions define what users can do, and format rules and validations keep entries clean.

Creators start from the My Apps page in AppSheet, which offers four ways to begin. Each path ends in the same app editor, where the generated app can be previewed, customized, and shared. The four starting points are:

  • Start with Gemini: describe an app idea or workflow in natural language, review the tables and columns Gemini proposes, edit them inline, and create the app
  • Start with existing data: connect Google Sheets, Microsoft Excel, Cloud SQL, or another data source, ideally with column headers in the first row
  • Start with a template: copy and customize a prebuilt app for a common use case
  • Blank app: start from a simple app with default data in an AppSheet database

At run time the app keeps a local copy of its definition and data on the phone or in the browser, which makes it responsive and lets it work offline. The device never talks to Google Sheets or a SQL database directly, because it communicates with the AppSheet server, which reads and writes the data source on the app's behalf and syncs changes in both directions. For external data sources, Google's IT documentation says app data passes through the AppSheet service on its way between the device and the customer's own storage rather than being copied into AppSheet. Security filters limit which rows each signed-in user receives, often by comparing a column with the user's email address.

AppSheet Automation adds bots that follow a simple pattern: when an event happens, run a process made of steps. Events can be data added, updated, or deleted through the app or the AppSheet API, changes to an AppSheet database, a schedule, or a Google Workspace interaction such as a Google Chat app message, a Google Forms submission, or a Gmail label being added. Steps can branch on conditions, wait for a condition or a period of time, call another process, change data, or run tasks. Tasks include AI tasks, emails, push notifications, SMS messages, webhook calls, file creation, Apps Script calls, and Google Chat messages.

Gemini for App Creation works at the start of the process. The creator describes a business process, for example an app to manage facility inspections, and Gemini returns a proposed app structure of tables and columns that the creator can review and edit before creating the app. The result opens in the AppSheet editor as a live app built on an AppSheet database, along with sample data that Google warns may be inaccurate and should be removed before real use. From there it is an ordinary AppSheet app, so its views, actions, security, and automations are refined by hand or with the editor's built-in suggestions.

AppSheet offered machine learning features such as intelligent document processing and optical character recognition before Gemini arrived, and Gemini in AppSheet Solutions now brings a large language model into automations. An AI task can Extract fields from an image, a PDF, or text, use Extract Rows to pull a table such as invoice line items out of a document, Categorize a record into predefined categories, or Summarize longer text, and it fills ordinary columns, including Ref, Date, Time, and Price columns. Creators can test each AI step with sample input before deployment and rate the results, and AI tasks can also run on a schedule. Because the output lands in a table, a human review step, an approval, or another automation can follow before anything is acted on.

The AppSheet MCP Server, announced in private preview on November 19, 2025, connects AppSheet in the other direction. An agent builder working in a framework such as Google's Agent Development Kit (ADK) or Copilot configures an MCP connection to an AppSheet app using that app's API access key, and the server then executes the agent's requests against the app's backend data. Google says agents connected this way can read data, update records, and trigger automations, all within the guardrails of the existing app. The preview is limited to AppSheet Enterprise Plus customers who request access.

The Physics

AppSheet's design trades raw power for simplicity, and its limits follow from that bargain and from running a shared cloud service. Most of them concern data volume, what can trigger an automation, licensing, AI capacity, and platform reliability. The main constraints are:

  • Sync and data volume: Every app works from a local copy of its data, so large tables slow syncing and can strain devices with little storage. With Google Sheets the AppSheet server reads the entire sheet before applying security filters, while simple filters on SQL sources and AppSheet databases are pushed into the query, and the BigQuery data source is capped at 100,000 rows.
  • Security filters are not a full security model: Google's documentation cautions that security filters limit what users receive but are not a complete security solution, so sensitive operations must also be protected at the data source.
  • What triggers a bot: Bots fire on changes made through the app, the AppSheet API, AppSheet databases, schedules, and specific Workspace events. Direct edits to a spreadsheet or database do not trigger them without extra configuration such as add-ons, bots never fire across two apps that share a table, and bots that trigger each other are capped at five triggers to prevent endless loops.
  • AI capacity: Each AppSheet Enterprise Plus license adds 1,000 credits a month to an organization's shared pool. AI tasks cost 10 credits per run, PDF extraction costs 10 credits per page, and a per-app, per-minute quota throttles bursts of AI calls.
  • Licensing follows the creator: The license an app user needs depends on the app creator's license, so users of an Enterprise Plus creator's app need Enterprise Plus or a User Pass. Free prototypes are limited to 10 users including the creator, and features such as automation emails and scheduled bots do not run until the creator subscribes.
  • Email reach: Since May 4, 2026, automation emails from accounts and Workspace organizations created after that date can go only to recipients in the sender's own domain, a security change from which existing organizations were exempted.
  • Shared-service reliability: AppSheet suffered a disruption of about two hours across the western United States, Asia, and Australia on February 23 and 24, 2026, a misrouting incident on April 8 that sent users to the wrong region, and a disruption of more than eight hours on April 28 that Google traced to a code change meant to prevent stack overflow errors during consistency checks.

These constraints shape how experienced builders use AppSheet. Apps work best when each user needs a modest slice of the data, when heavy tables live in a database rather than a spreadsheet, and when security rules are enforced in the data source as well as the app. AI tasks belong where a person reviews the result, and critical processes deserve a plan for what happens during a service disruption.

Why This Matters

AppSheet matters less as a single product than as Google's long-running answer to a question every organization faces, namely who gets to build the small applications that run daily work. By bundling AppSheet into Workspace and adding Gemini, Google has tried to move that work from IT backlogs to the people closest to the process. Its significance shows up in several ways:

  • Citizen development inside the suite: Because AppSheet Core comes with most Workspace editions, employees can turn a shared spreadsheet into a governed app without a procurement process, while administrators decide who can use AppSheet, whether apps may share data or send email outside the domain, and which creators may use Gemini.
  • AI with an audit trail: Gemini in AppSheet Solutions puts large language model extraction and classification into ordinary business workflows, and administrators can see credit use and which users and apps run AI tasks, and can restrict AI through governance policies. That makes it a practical example of AI governance for document processing such as invoices and expense claims.
  • Apps as agent tools: The MCP Server reflects a broader shift in which existing business apps become tools for agents rather than being replaced by them. Microsoft has taken the same path with a Power Apps MCP Server in public preview, and a community developer has published an open-source MCP server that lets assistants such as Claude, Gemini, Cursor, and VS Code Copilot read and change AppSheet data through the AppSheet API.
  • A data-first counterweight to vibe coding: Prompt-to-app tools such as Google AI Studio's Build mode, Replit, and Opal generate code or mini-apps quickly, but AppSheet begins with a database, which one 2026 review noted lets builders add much more functionality and complexity. Gemini app creation in AppSheet produces a data model with tables and relationships rather than code that someone must maintain.
  • Overlap and uncertainty at Google: Sheets canvas, launched in August 2026 on Google's Gemini 3.8 Flash model, turns spreadsheet data into read-write mini-apps from a prompt, and Workspace Studio automates tasks across Workspace apps. Commentators still see AppSheet as the better fit for multi-user applications with permissions, automations, and custom logic, but its absence from the Google I/O 2026 keynote and the 2026 strategy update have fed community worries about its long-term future.

AppSheet also competes outside Google with Microsoft Power Apps and the other builders listed on the Codeless Options, Code Generators, Drag n' Drop page. Its advantages are tight integration with Google Workspace, offline mobile apps, simple per-user pricing, and Gemini app creation included in paid plans, while its weaknesses are the pace of new features and the reliability questions raised in 2026. For teams already on Workspace, it remains one of the lowest-friction ways to turn shared data into an app, and increasingly into a tool that AI agents can use.

Building Blocks

Component What It Does Notes
Data sources Connects tables from Google Sheets, Excel in Microsoft 365 and SharePoint, Smartsheet, Airtable, and Google Drive, Calendar, and Forms, plus databases and other services. SQL databases, BigQuery, Salesforce, OData, AWS DynamoDB, Apigee, and the AppSheet API require Enterprise Plus. Excel support covers .xlsx files only.
Integration Connectors Brings Google Cloud Integration Connectors connections into AppSheet as data sources, including AlloyDB, Spanner, Cloud SQL, ServiceNow, Jira, Salesforce, NetSuite, and SAP ERP. Lets systems hosted in Google Cloud connect privately without opening inbound firewall access; requires AppSheet Enterprise.
AppSheet database A built-in, first-party database with grid, Kanban, calendar, queue, and map layouts in its own editor. Used by apps that Gemini creates; changes made directly in it can trigger bots.
Tables, columns, and expressions Define the data model, column types, keys, references between tables, virtual columns, slices, and validation rules. Expressions resemble spreadsheet formulas and include functions such as USEREMAIL(), HERE(), and DISTANCE().
Views Present data as calendar, card, chart, dashboard, deck, detail, form, gallery, map, onboarding, or table views. Dashboards combine several views; the desktop design shows lists and details side by side.
Actions and view events Let users change data, navigate, or run steps, and replace default behavior when a row is selected or a form is saved. An action button can update a column whose only purpose is to trigger a bot.
Security Requires sign-in, restricts access to an allow list or domain, and filters rows per user with security filters. Enterprise Plus adds Okta, Active Directory, AWS Cognito, Google Groups, and OpenID Connect authentication.
Offline and sync Stores the app definition, data, and optionally images and files on the device so apps can start and work without a connection. Changes sync the next time the device is online.
AppSheet Automation Bots that run processes on app events, AppSheet database changes, schedules, and Chat, Forms, or Gmail events. Tasks send email, SMS, notifications, and Chat messages, call webhooks or Apps Script, create files, and run AI.
Gemini for App Creation Generates an app's tables and columns, with some prebuilt views and actions, from a natural-language description. Included with all paid AppSheet licenses, including Workspace AppSheet Core; no Gemini add-on is needed.
Gemini in AppSheet Solutions AI tasks that Extract, Extract Rows, Categorize, and Summarize inside automations. Enterprise Plus; 1,000 pooled credits per license per month; on by default, and admins can disable or restrict it.
Integrations The AppSheet REST API, outbound webhooks, Apps Script tasks with return values, Zapier, AppSheet Chat apps, and interactive emails in Gmail. Gmail label triggers are in beta; Bring Your Own Email, in public preview since September 2026, sends automation emails from a Workspace user's own address.
AppSheet MCP Server Exposes an app's data, records, and automations as tools for AI agents over the Model Context Protocol (MCP). Private preview for Enterprise Plus since November 2025.
Admin console and governance Team management, governance policies, Gemini usage and credit reporting, license reporting, and Gemini-generated summaries of apps. Workspace admins also control the AppSheet Core security setting for external sharing, external data, external email, the app API, and webhooks.
Plans Free for prototypes and personal use; Starter, Core, and Enterprise Plus per user; Publisher Pro per app for public apps; User Pass for access as needed. Published prices are $5, $10, and $20 per user per month, and $50 per app per month for Publisher Pro.

Getting Started

AppSheet is free to try, and many Workspace users already have a Core license without realizing it. The fastest route is to start from a real spreadsheet or a clear description of a process, get a working prototype in front of a few colleagues, and add security, automation, and AI only once the basic app fits the job. The steps below follow Google's AppSheet Help Center and its how-to page.

  1. Check your license: If you use Google Workspace, ask your administrator whether your edition includes AppSheet Core and whether AppSheet is turned on for your organizational unit. Anyone can build and test prototypes for free with up to 10 users, including the creator.
  2. Prepare your data: Organize information as one table per kind of thing, such as Jobs, Customers, or Inspections, with column headers in the first row. Excel workbooks must be .xlsx files, and teams expecting large tables should consider an AppSheet database or a SQL source from the start.
  3. Create the app: Sign in to AppSheet, open My Apps, and choose Create, then App, then Start with Gemini, Start with existing data, Start with a template, or Blank app.
  4. Describe it to Gemini (optional): Explain who uses the app, what information it tracks, and the steps in the process. Review the proposed tables and columns, edit them inline, create the app, and delete the sample data before real use.
  5. Shape the data model: In the editor, check column types, keys, and the Ref columns that link tables, and add virtual columns or slices where needed.
  6. Design the views: Choose view types for each table, such as deck or table views for lists, forms for data entry, maps for locations, and a dashboard that combines several views.
  7. Secure the app: Require sign-in, limit access to specific users or a domain, and add security filters so each person sees only their own rows, while also protecting sensitive data in the source itself.
  8. Add automation: Open Automation, add a bot, and pick a suggested bot or build one from an event, a process, and tasks such as sending an email or a Chat message. Use the test feature before deploying.
  9. Add AI tasks (Enterprise Plus): Add an AI task step to a bot, choose Extract, Extract Rows, Categorize, or Summarize, map the results to columns, and test the step with sample images, PDFs, or text before relying on it.
  10. Configure offline and sync: Decide whether the app can start without a connection and whether images and files should be stored for offline use.
  11. Test, deploy, and license: Share the prototype with a few testers, run the deployment check on the Manage, Deploy page, and buy licenses for active users if your Workspace edition does not already cover them.
  12. Govern at scale: Administrators can turn AppSheet and Gemini features on or off, apply the AppSheet Core security setting, and, with Enterprise Plus, set governance policies and watch Gemini credit use in the AppSheet Admin Console.

A few habits prevent most problems. Try preview features on a copy of an app rather than turning them on in a live one, keep humans in the loop for anything an AI task decides, and check the Google Workspace Status Dashboard, which now covers AppSheet, when apps misbehave. Small, focused apps that each serve one process are easier to secure, sync faster, and are simpler to hand over when the original builder moves on.

Examples

Google's documentation, announcements, and community tutorials describe a wide range of AppSheet apps, and the examples below are drawn from those sources rather than invented. Most fall into a few groups, namely field work, back-office document handling, request routing, team coordination, and connecting apps to AI agents. AI tasks and the MCP Server require AppSheet Enterprise Plus, while most of the other examples work with AppSheet Core.

Field Operations and Inspections

Inspections are AppSheet's signature use case, and Google uses a facility inspections app as its own example for Gemini app creation. A 2026 beginner tutorial builds an AI-assisted equipment inspection app with Gemini AI tasks, and Google lists extracting equipment information from a photo among the intended uses of those tasks. Google's App design 101 guide walks through a construction business tracking water-coating work across job sites from a Google Sheet, and offline mode lets apps like these keep working where coverage is poor. Map views, LatLong columns, and functions such as HERE() and DISTANCE() let apps show how far a worker is from each site.

Finance and Back Office

Document-heavy finance work is where AI tasks pay off most directly. Google's examples include parsing invoices and other complex PDFs, extracting purchase details from a PDF contract and assigning follow-up items, and analyzing the descriptions in employee expense submissions to sort them into categories such as Travel, Meals, Software, and Training. Community creators have built receipt-scanning apps that pull text from photos of receipts into tables, and Extract Rows can import a document's line items as separate rows. These fit naturally into finance and accounting workflows in which a reviewer approves the extracted figures before they are posted.

Requests, Approvals, and Service Desks

Many AppSheet apps collect requests and move them to the right person. Gemini AI tasks can categorize, route, and summarize incoming requests based on their content, and bots can then notify the assignee by email, push notification, SMS, or Google Chat. With the Gmail integration in beta, adding a label to an incoming message can trigger an automation that passes the sender, subject, and body into the app, and one community member described using this for a multi-user helpdesk built in AppSheet that previously relied on an Apps Script relay. Google's own bot example notifies a customer when an appointment request is confirmed.

Team Coordination and Workspace Apps

Inside Google Workspace, AppSheet often replaces a shared spreadsheet that has grown unwieldy. Google's demonstration of Gemini app creation builds a team task tracker from a description, and its help documentation shows Gemini proposing an Inventory and Sales Tracker. Teams can also publish AppSheet apps as Google Chat apps, trigger bots from Google Forms responses, and send Gmail messages with embedded app views that recipients can edit without leaving their inbox. Google suggests building apps that record facility inspections, document inventory, or manage approvals on top of Workspace data.

AI Agents and Integrations

AppSheet increasingly acts as the system of record behind other AI tools. With the MCP Server preview, an agent built in Google's Agent Development Kit can look up records in an AppSheet app, update them, and trigger the app's automations instead of writing to a spreadsheet directly. A Google I/O 2025 session showed how to connect AppSheet to custom agents in Vertex AI through Apps Script, and Apps Script tasks can return values that later steps in a bot write back to the app. For simpler hand-offs, a bot can call a webhook that starts a Zapier Zap or invoke the AppSheet API in another app.

Sample Requests

The table below shows illustrative requests built from documented capabilities, with the feature each uses and the plan it typically requires. Only the first request is typed to Gemini as written, while the others describe what a creator would configure in the editor or in an AI task. Plan requirements reflect Google's subscription documentation as of late 2026.

Request Feature Used Plan Needed
"Create an app to manage facility inspections, with photos, a pass or fail result, and follow-up tasks." Gemini for App Creation Any paid license, including Workspace AppSheet Core
"When an inspection fails, email the facilities manager and add a repair task." Bot with an app event, a condition, a Send an email task, and a data change Paid license, since automation emails do not run on free prototypes
"Read every line item from each uploaded supplier invoice PDF into an Invoice Lines table." AI task: Extract Rows Enterprise Plus; 10 credits per PDF page
"Sort each new expense claim into Travel, Meals, Software, or Training." AI task: Categorize Enterprise Plus; 10 credits per run
"When a Gmail message gets the Orders label, add a row and notify the team in Chat." Gmail event (beta) with data change and Chat tasks Google Workspace account
"Let our support agent look up an order's status and update it on request." AppSheet MCP Server (private preview) Enterprise Plus

Known Limitations

  • Slower feature development: Google's May 2026 strategy update put stability ahead of new features and said some long-standing preview features may be turned down, so roadmap items announced earlier are not guaranteed.
  • Reliability: Several 2026 incidents interrupted apps and automations for hours, and community members have publicly questioned the platform's stability and Google's communication about it.
  • AI behind the top tier: AI tasks and the MCP Server require Enterprise Plus, credits are capped per license, and per-minute quotas can stop AI tasks during bursts. Gemini's first draft of an app usually needs refinement, and its sample data must be removed.
  • Spreadsheet scale: Apps on Google Sheets read the whole sheet on the server, and spreadsheet formulas or complex virtual columns can slow syncing or rule out faster sync options.
  • Automation blind spots: Bots ignore direct edits to most data sources and changes made through other apps, which surprises teams that also edit the underlying sheet by hand.
  • Email restrictions: Accounts created after May 4, 2026, can send automation emails only within their own domain unless granted an exemption, and Bring Your Own Email, which is not subject to that restriction, is available only to Workspace customers in preview.
  • Premium connectors: SQL databases, BigQuery, Salesforce, and the AppSheet API are Enterprise Plus features, and the license an app's users need depends on the creator's license.
  • Preview features: The new mobile framework, Gmail triggers, Bring Your Own Email, and the MCP Server are previews or betas, and Google says preview offerings are intended for test environments rather than production apps.
  • Format and account gaps: AppSheet reads Excel only as .xlsx files and only from a SharePoint site's default document library, and Workspace for Education users designated as under 18 cannot use AppSheet.

History

Recent Developments

  • March 2014: Praveen Seshadri founded AppSheet in Seattle after several months developing the product at home, with Brian Sabino as co-founder.
  • January 14, 2020: Google Cloud announced its acquisition of AppSheet, which by then had more than 200,000 deployed apps and over 18,000 monthly active app creators.
  • October 2021: AppSheet in Gmail added dynamic emails, letting recipients interact with AppSheet forms and views without leaving their inbox.
  • October 2022: AppSheet databases, a native first-party data source, entered public preview.
  • July 17, 2023: Google announced that AppSheet Core licenses would be included in most Google Workspace business, enterprise, frontline, nonprofit, and education editions, along with a new admin security setting.
  • August 2023: At Google Cloud Next '23, Google showed Duet AI in AppSheet, which turned natural-language descriptions into apps, and previewed AI-powered voice and data input for app users.
  • April to May 2024: Google announced Gemini in AppSheet app creation at Cloud Next '24 and began rolling it out on May 1.
  • September to October 2024: Gemini app creation reached Workspace customers with AppSheet Core and gained inline table editing and an upgraded model.
  • January 2025: Google began bundling Gemini features into Workspace Business and Enterprise subscriptions, and its list of included features names Gemini in AppSheet.
  • March 25, 2025: A new mobile framework that unifies the mobile and desktop experiences entered preview.
  • April 2025: Google introduced Gemini in AppSheet Solutions at Cloud Next 2025, and a public preview of AI tasks for Enterprise Plus followed within weeks.
  • July 2025: The Extract and Categorize AI tasks became generally available for Enterprise Plus, with credit reporting for administrators.
  • October 2025: Summarize and Extract Rows tasks, text input, expanded column types, and scheduled AI tasks arrived.
  • November 19, 2025: Google opened a private preview of the AppSheet MCP Server for Enterprise Plus customers.
  • December 2025: Google launched Workspace Studio, a separate Gemini-powered tool for automating work across Workspace apps.
  • February 23 to 24, 2026: A server capacity problem caused a disruption of about two hours for users in the western United States, Asia, and Australia.
  • April 28, 2026: A service disruption, mainly in Asia and Europe, slowed or broke apps for more than eight hours, while users in the APAC and EU data residency zones were unaffected.
  • May 4, 2026: AppSheet began blocking out-of-domain automation emails for new accounts and organizations.
  • May 15, 2026: The AppSheet team published its 2026 Product Strategy Update, prioritizing stability, availability, bug fixes, and support over new features.
  • August 13, 2026: Google launched Sheets canvas, which uses Gemini to build interactive mini-apps directly on spreadsheet data.
  • September 29, 2026: Bring Your Own Email entered public preview, letting Workspace users send automation emails from their own addresses instead of noreply@appsheet.com.
  • October 27, 2026: Developers at AppSheet partner QREW released a major update to its free AppSheet Toolbox Chrome extension, adding dark mode, app-wide search, a command palette, and a smarter expression editor for the AppSheet editor.

Further Resources

Additional Viewing

Load video
YouTube

Integrating AppSheet with Google Workspace explains how AppSheet, Google's no-code application platform, helps streamline workflows and demonstrates building apps that integrate with Google Workspace. Google highlighted it in its January 2025 Google Workspace developer newsletter. It is a good companion to the Introduction/Overview and Getting Started sections.

Load video
YouTube

Gemini in AppSheet for app creation demonstrates how to build a custom app with Gemini, using a team task tracker as the example. The demonstration starts from a written description of the app, which makes it a useful companion to the Gemini for App Creation steps in The Mechanism and Getting Started.

Load video
YouTube

Inspection App Build with AI Tasks - Beginner's Tutorial 2026 (Google Sheets, Gemini, AppSheet) is a beginner-friendly livestream that builds a custom, AI-assisted equipment inspection app with Gemini AI tasks. It brings Google Sheets, AppSheet, and Gemini together in one project and shows the AI tasks described in The Mechanism and the inspection examples in action.

Load video
YouTube

AppSheet: The no-code revolution powered by AI is a Google Cloud Next '24 session on the latest advancements in AppSheet. The AppSheet team pointed community members to it when announcing Gemini app creation, because the session also introduced AI data extraction for existing apps. It provides background for the 2024 entries in Recent Developments.

Load video
YouTube

Build no-code intelligent Agents with AppSheet, Gemini, and Vertex AI is a Google I/O 2025 technical session on connecting AppSheet to custom Vertex AI agents through Apps Script. It details the API interactions and data flow and shows how to automate complex tasks. It complements the AI Agents and Integrations examples and the discussion of apps as agent tools in Why This Matters.

References

Retrieved from "https://primo.ai/w/index.php?title=Google_AppSheet&oldid=53503"