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developed using ThoughtSpot v26.6, so you may see variations with other versions.\u003C/p\u003E\n","\u003Ch3\u003EPrerequisites\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EWhile familiarity with ThoughtSpot and software development is helpful, it's not required.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You'll Learn\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EHow to use SpotterModel to create semantic models.\u003C/li\u003E\u003Cli\u003EHow to use SpotterViz to create powerful analytics dashboards.\u003C/li\u003E\u003Cli\u003EHow to use Spotter to perform advanced analytics via a smart chat interface.\u003C/li\u003E\u003Cli\u003EHow to use SpotterCode to quickly and easily embed ThoughtSpot into an application.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You'll Need\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EA ThoughtSpot account with developer access. You can use a \u003Ca href=\"https://www.thoughtspot.com/trial\"\u003Etrial account\u003C/a\u003E\u003C/li\u003E\u003Cli\u003EA Snowflake account and credentials if you want to do this QuickStart with your own data. If not, you can use sample data, but won't be able to do the exercise for SpotterModel.\u003C/li\u003E\u003Cli\u003EAn IDE or development environment that supports MCP servers, such as Cursor, VS Code, or Claude Code.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You'll Build\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EA semantic model against your own data in Snowflake.\u003C/li\u003E\u003Cli\u003EA ThoughtSpot liveboard on a particular topic.\u003C/li\u003E\u003Cli\u003EUse Spotter to perform analytics.\u003C/li\u003E\u003Cli\u003EAn embedded application that uses the ThoughtSpot APIs and Embedded SDK.\u003C/li\u003E\u003C/ul\u003E\n&lt;!-- ------------------------ --&gt;\n","\u003Ch2\u003ESetup\u003C/h2\u003E\n","\u003Cp\u003EBefore beginning you'll need a ThoughtSpot account with developer access. You may also need administrator access if security settings are needed. If you aren't currently a ThoughtSpot customer, you can create a \u003Ca href=\"https://thoughtspot.com/trial\"\u003Etrial account\u003C/a\u003E. This will allow you to be both an administrator and developer.\u003C/p\u003E\n","\u003Cp\u003EEnable SpotterModel and SpotterViz if they aren't already enabled.\u003C/p\u003E\n","\u003Cp\u003EFor the coding exercise using SpotterCode, you'll want an IDE or CLI with SpotterCode enabled. See the \u003Ca href=\"https://developers.thoughtspot.com/docs/SpotterCode\"\u003Einstructions\u003C/a\u003E for configuring SpotterCode with common IDEs, such as VS Code and Claude Code.\u003C/p\u003E\n","\u003Cp\u003EYou should also clone the \u003Ca href=\"https://github.com/thoughtspot/ts-snowflake-summit-2026\"\u003Estarter code\u003C/a\u003E from GitHub. You can optionally fork the repository, but it's not required.\u003C/p\u003E\n","\u003Ch2\u003ESpotterModel\u003C/h2\u003E\n","\u003Cp\u003E\u003Ca href=\"https://www.thoughtspot.com/product/agents/spottermodel\"\u003ESpotterModel\u003C/a\u003E is ThoughtSpot's agent for creating governed semantic models for analysis. It lets you go from a data connection in Snowflake to a model ready for users and agents to analyze your data.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-model-overview.avif?v=38256e9e\" alt=\"SpotterModel\"\u003E\u003C/p\u003E\n","\u003Ch3\u003ECreate a connection to Snowflake\u003C/h3\u003E\n","\u003Cp\u003EBefore using SpotterModel, you need to create a connection to Snowflake. See the \u003Ca href=\"https://docs.thoughtspot.com/cloud/latest/connections-snowflake\"\u003EThoughtSpot documentation\u003C/a\u003E for details. Create the connection and select the tables you want to use for analytics. The following image shows a Banking connection with tables for savings, credit cards, and checking, along with customer and account information.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-model-banking-model.png?v=38256e9e\" alt=\"Banking Model\"\u003E\u003C/p\u003E\n","\u003Ch3\u003ECreate a model with SpotterModel\u003C/h3\u003E\n","\u003Ch4\u003ECreate an empty model with your connection\u003C/h4\u003E\n","\u003Cp\u003ENow that you have your connection, create a new model. From the Data Workspace, select the (+) and then select \u003Ccode\u003EModel\u003C/code\u003E.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-model-new-model.png?v=38256e9e\" alt=\"New Model\"\u003E\u003C/p\u003E\n","\u003Cp\u003ESelect Build \u003Ccode\u003Eyour own model\u003C/code\u003E from the options and click \u003Ccode\u003ENext\u003C/code\u003E.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-model-select-option.png?v=38256e9e\" alt=\"Model type\"\u003E\u003C/p\u003E\n","\u003Cp\u003ENow select the connection you created and want to use.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-model-select-connection.png?v=38256e9e\" alt=\"Select connection\"\u003E\u003C/p\u003E\n","\u003Cp\u003EYou should now see the data model editor similar to the one below.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-model-empty-model.png?v=38256e9e\" alt=\"Empty model\"\u003E\u003C/p\u003E\n","\u003Ch4\u003EUse SpotterModel to create the model\u003C/h4\u003E\n","\u003Cp\u003ESpotterModel lets you create a model using only prompts. In the text box on the left, enter a description of the model's use case. The more detail you provide, the better. At minimum, describe the users, the types of data you want, and ideally a few example questions. For example, the banking model uses this prompt:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EI'm a banking analyst for a bank and want to do analysis of our customers to understand them and identify additional products and services.  For example, I want to be able to ask about customer with total balances in savings, credit cards, and checking to segment users for potential account upgrades.\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ESpotterModel will show its progress as it works. When prompted, select the fact tables you want to use. Then click the \u003Ccode\u003EFind Supporting Tables\u003C/code\u003E button to find dimension tables. Select the tables you want. You can also drag a table to the canvas or explicitly tell SpotterModel to add it.\u003C/p\u003E\n","\u003Cp\u003EAfter you have all the tables you want, select \u003Ccode\u003EFind Joins\u003C/code\u003E to add joins between them. Select the joins you want to add. You can also add joins manually, changing the direction and cardinality. The following image shows the banking model.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-model-initial-generated-model.png?v=38256e9e\" alt=\"Generated model\"\u003E\u003C/p\u003E\n","\u003Cp\u003ENow that you have the fact and dimension tables, click the \u003Ccode\u003EFind Columns\u003C/code\u003E button. SpotterModel selects attributes and measures based on your initial description &mdash; which is why a detailed description matters. Once SpotterModel shows the columns, select the ones you want and click \u003Ccode\u003EAdd to canvas\u003C/code\u003E.\u003C/p\u003E\n","\u003Cp\u003EBy default, column names and descriptions aren't very helpful. You can edit them manually, but that means clicking each cell and typing in a value. Instead, let SpotterModel do the work. At minimum, rename the columns, add better descriptions, and add synonyms (alternative search terms). Enter the following prompt:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EChange the column names and descriptions to be more helpful for users when searching.  Also add synonyms to the columns so users can use similar terms.\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EYou should see updated names, descriptions, and synonyms.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-model-column-names.png?v=38256e9e\" alt=\"Columns with good names\"\u003E\u003C/p\u003E\n","\u003Cp\u003EAs you make changes, you'll see a \u003Ccode\u003EModel Updated\u003C/code\u003E notice after each update. SpotterModel lets you undo changes if you don't like the results.\u003C/p\u003E\n","\u003Cp\u003ESave the model now that you have a working version. Give it a descriptive name and description so users and agents know what it's useful for.\u003C/p\u003E\n","\u003Cp\u003ESpotterModel can do much more than this. For example, currency values in the model show as plain numbers by default. Use the following prompt to format them as currency:\u003C/p\u003E\n","\u003Cp\u003E\u003Ccode\u003ESet the columns that contain currency values to USD. These are columns with names like Balance, Payment, etc.\u003C/code\u003E\u003C/p\u003E\n","\u003Cp\u003EYou can also create formulas and parameters, etc. Feel free to experiment.\u003C/p\u003E\n","\u003Cp\u003ESave the changes and exit the data model. By default, the model isn't enabled for Spotter. To enable it, select the ... menu in the upper right corner and click \u003Ccode\u003EEnable Spotter\u003C/code\u003E.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-model-enable-spotter.png?v=38256e9e\" alt=\"Enable Spotter\"\u003E\u003C/p\u003E\n","\u003Cp\u003EYou'll see options to enhance the model. At minimum, select \u003Ccode\u003EEnable indexing\u003C/code\u003E and choose columns to index. This lets Spotter and search recommend values to improve results. The other options improve data cleanliness but aren't required.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-model-enable-indexing.png?v=38256e9e\" alt=\"Enable Spotter\"\u003E\u003C/p\u003E\n","\u003Cp\u003ENow that we have a Spotter-enabled model we can create some content with SpotterViz and Spotter.\u003C/p\u003E\n","\u003Ch2\u003ESpotterViz\u003C/h2\u003E\n","\u003Cp\u003E\u003Ca href=\"https://www.thoughtspot.com/product/agents/spotterviz\"\u003ESpotterViz\u003C/a\u003E takes you from business questions to a fully styled dashboard, ready to share and use for repeat analysis.\u003C/p\u003E\n","\u003Cp\u003EFrom the Insights tab, select the (+) button and the Create Liveboard option to create a new Liveboard.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-viz-new-liveboard.png?v=38256e9e\" alt=\"New liveboard\"\u003E\u003C/p\u003E\n","\u003Cp\u003EGive the liveboard a meaningful name and description so others know what it does. You can optionally make it discoverable, which means others can find it in search. You can leave this box checked.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-viz-name-liveboard.png?v=38256e9e\" alt=\"Name liveboard\"\u003E\u003C/p\u003E\n","\u003Cp\u003EYou will get a new, empty liveboard in edit mode with SpotterViz open and ready to help.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-viz-empty-liveboard.png?v=38256e9e\" alt=\"Empty liveboard\"\u003E\u003C/p\u003E\n","\u003Cp\u003EIn the prompt for SpotterViz, give a detailed description of what you want to create. You can instruct it to create notes, charts, tabs, and styles &mdash; all in one step or across multiple steps. You can tweak the results at any time. Use a prompt like the following, adapted for your data.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EI want to create a liveboard that let's me analyze banking data about customer accounts.  I want to do analysis based on customer metrics and account metrics.  Include all types of accounts and balances.  I want to separate out the customers and accounts into different tabs.  Add filters for any geographic regions and customer genders.  For each tab add a note to describe the tab.  I want to use best practices for liveboards, so include useful KPIs at the top and then more detailed charts going down the page.  Group related content together.\n\nI want to set a nice style using darker blues.\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EWait and watch SpotterViz work. It will first recommend a data source &mdash; this is why a good name and description matter. Confirm the model, then let SpotterViz create the content. You'll see messages as it creates tabs, visualizations, and more.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-viz-working.png?v=38256e9e\" alt=\"SpotterViz Working\"\u003E\u003C/p\u003E\n","\u003Cp\u003EIf you get any errors you can tell SpotterViz to try again.\u003C/p\u003E\n","\u003Cp\u003EThis entire process can take a few minutes, but you should eventually get a liveboard. Save the liveboard. You can always go back in and edit the liveboard further using SpotterViz or manually edit content.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-viz-completed-liveboard.png?v=38256e9e\" alt=\"Completed liveboard\"\u003E\u003C/p\u003E\n","\u003Cp\u003ENow that we have some static content, let's use Spotter to analyze the data interactively.\u003C/p\u003E\n","\u003Ch2\u003ESpotter\u003C/h2\u003E\n","\u003Cp\u003E\u003Ca href=\"http://thoughtspot.com/product/agents/spotter\"\u003ESpotter\u003C/a\u003E is an AI analyst for all users. Users can ask questions about their data &mdash; including &quot;why&quot; questions &mdash; and get detailed answers and analysis. Spotter also connects to other data sources and systems for mashups and can push results to applications like Salesforce and Slack.\u003C/p\u003E\n","\u003Cp\u003EFrom the Insights tab, select \u003Ccode\u003ESpotter\u003C/code\u003E. Then select the data source by clicking the button with the data source name. Spotter also has an Auto Mode that picks the appropriate model based on your question. For this exercise, select the model you created earlier. You should see an empty Spotter interface with the model selected, as shown below. The model in this example is the Banking Analysis model.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-empty-search.png?v=38256e9e\" alt=\"New Spotter conversation\"\u003E\u003C/p\u003E\n","\u003Cp\u003EIf you're not familiar with the data set, ask Spotter to describe it. Enter the following prompt and let Spotter respond:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ETell me about this data source and the types of analysis I can do and the questions I can ask.\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EAfter Spotter reviews the data set, it will describe the different data sources, metrics, dimensions, types of analysis, and example questions.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-response-about-tables.png?v=38256e9e\" alt=\"Description of tables\"\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-response-with-questions.png?v=38256e9e\" alt=\"Example questions\"\u003E\u003C/p\u003E\n","\u003Cp\u003ENow ask a question. The example below uses credit scores by age group and state. Ask something appropriate for your data.\u003C/p\u003E\n","\u003Cp\u003E\u003Ccode\u003EShow me the average credit scores by age group and state.\u003C/code\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-response-credit-by-state-and-age-group.png?v=38256e9e\" alt=\"Credit score response\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThe result is interesting, but the full data set is hard to read. You can interact directly with the visualization to drill down and filter. Let's refine the question to focus on western states and adults 55 and older.\u003C/p\u003E\n","\u003Cp\u003E\u003Ccode\u003EFilter the data by the states in the west region and limit to customers 55 years old and older.\u003C/code\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-response-55-plus.png?v=38256e9e\" alt=\"Filtered by western states and 55+\"\u003E\u003C/p\u003E\n","\u003Cp\u003EReview the insights returned by Spotter.\u003C/p\u003E\n","\u003Cp\u003ESpotter also lets you work with external data sources and send results to applications like Slack or Teams. Click the manage connections icon in the bottom right (next to the arrow button) and verify that Web Search is enabled. Enable it if it's not.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-manage-connections.png?v=38256e9e\" alt=\"Manage connections\"\u003E\u003C/p\u003E\n","\u003Cp\u003EIn this case, let's find out what the average retirement balance is for the states we just filtered by using the web connection.\u003C/p\u003E\n","\u003Cp\u003E\u003Ccode\u003ECompare the credit scores for the filtered data with a web search of the average retirement income for the customer groups and identify opportunities to provide products.\u003C/code\u003E\u003C/p\u003E\n","\u003Cp\u003EYou'll likely need to allow Spotter to search the web &mdash; this is a security confirmation for external connectors. You should get a response that combines the web search with your filtered data.\u003C/p\u003E\n","\u003Cp\u003EDepending on what Spotter finds and your data you should get analysis and recommendations.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-recommendations.png?v=38256e9e\" alt=\"Spotter recommendations\"\u003E\u003C/p\u003E\n","\u003Cp\u003ENow that we have a working model, a liveboard, and Spotter, we'll embed them all into our own web application using SpotterCode.\u003C/p\u003E\n","\u003Ch2\u003ESpotterCode\u003C/h2\u003E\n","\u003Cp\u003E\u003Ca href=\"https://www.thoughtspot.com/product/agents/spottercode\"\u003ESpotterCode\u003C/a\u003E lets you add ThoughtSpot to your own applications using chat prompts. SpotterCode knows the SDKs, APIs, and developer examples, making it easy to generate correct embed code quickly.\u003C/p\u003E\n","\u003Cp\u003EIn this section, you'll build an application using SpotterCode. You need to have completed the following:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EDownloaded the starter code from GitHub: \u003Ccode\u003Egit clone https://github.com/thoughtspot/ts-snowflake-summit-2026\u003C/code\u003E. You can also just use your own application if you want.\u003C/li\u003E\u003Cli\u003EA code editor with SpotterCode configured. See the \u003Ca href=\"https://developers.thoughtspot.com/docs/SpotterCode\"\u003Edocumentation\u003C/a\u003E on how to configure it with various IDEs. All examples in this guide use VS Code with Claude Code.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EYou will also need a browser with third-party cookies allowed. These examples use Chrome.\u003C/p\u003E\n","\u003Cp\u003EAfter downloading (and unzipping if needed), go into the directory and run:\u003C/p\u003E\n","\u003Cp\u003E$ \u003Ccode\u003Enpm install\u003C/code\u003E\n$ \u003Ccode\u003Enpm run dev\u003C/code\u003E\u003C/p\u003E\n","\u003Cp\u003EThe app will start and display its URL.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-code-npm-run-dev.png?v=38256e9e\" alt=\"NPM startup\"\u003E\u003C/p\u003E\n","\u003Cp\u003EIf you navigate to the page, you should see something like the following:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-code-starting-page.png?v=38256e9e\" alt=\"Spotter app landing page\"\u003E\u003C/p\u003E\n","\u003Cp\u003EWe're going to build this app in four steps:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EInitialize the ThoughtSpot SDK to communicate with ThoughtSpot.\u003C/li\u003E\u003Cli\u003EDo an API call for liveboards and allow users to select one they can embed.\u003C/li\u003E\u003Cli\u003EEmbed Spotter.\u003C/li\u003E\u003Cli\u003ESet custom styles for the embedded content.\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EInitialize the SDK\u003C/h3\u003E\n","\u003Cp\u003EThe ThoughtSpot Visual Embed SDK provides all the classes and components you need to embed ThoughtSpot. Enter the following prompt, replacing the URL with your ThoughtSpot URL:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EI want to embed ThoughtSpot into this application.  I'm going to connect to https://&lt;your-ts&gt;.thoughtspot.cloud/ and use no authentication (i.e. pick it up via cookies). Set up the initialization so it will happen before any embedding.\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis prompt does two things. First, it tells SpotterCode which ThoughtSpot URL to connect to. Second, it disables authentication. While ThoughtSpot supports SSO via SAML and OIDC as well as token-based auth, you can skip that setup for this exercise. If you aren't already logged in, you'll see a login screen the first time you access ThoughtSpot content.\u003C/p\u003E\n","\u003Cp\u003EThe prompt also tells SpotterCode to initialize the SDK before any embedded content loads. You can add details about coding standards or structure you want to enforce.\u003C/p\u003E\n","\u003Cp\u003EAs the agent runs, it may prompt for permissions. Accept them to allow changes. You should see it install the Visual Embed SDK via npm, review the code, and add or modify files. For example, it may create a \u003Ccode\u003EThoughtSpotProvider\u003C/code\u003E that calls \u003Ccode\u003Einit\u003C/code\u003E and wrap the children in the \u003Ccode\u003Elayout.tsx\u003C/code\u003E file to ensure \u003Ccode\u003Einit\u003C/code\u003E runs before any content loads.\u003C/p\u003E\n","\u003Cp\u003ERefresh the page to verify there are no issues. If you see an error about a \u003Ccode\u003EMixpanel\u003C/code\u003E token, you can safely ignore it.\u003C/p\u003E\n","\u003Ch3\u003EEmbed liveboards\u003C/h3\u003E\n","\u003Cp\u003ENow that we've initialized the SDK, we can start embedding content. Let's start with liveboards. Run the following prompt:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EWhen the user selects the liveboards option, I want to go to the liveboards page and see the liveboards I have available as cards with the title and description.  Use the metadata search API for the list. Then, when I click on a liveboard, I want to go to the specific liveboard (use slugs for bookmarking). Disable the ability to download or view TML. And I want to make sure I have two-column layout enabled as well as the masterpieces mode. Make sure the liveboard takes all the available space between the header and footer.\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis prompt asks for the liveboards page to show tiles for all available liveboards so the user can click one to view it. It includes styling instructions to make the liveboard fill the available space and disables TML access, which removes those items from the liveboard menu. The SDK lets you control not just what content appears but also what actions users can take.\u003C/p\u003E\n","\u003Cp\u003EThis step can take several minutes as the coding agent and SpotterCode work out the structure, API call, and embed logic. You should see new folders for liveboard navigation and updates to the liveboard page. When complete, click the \u003Ccode\u003ELiveboards\u003C/code\u003E link in the header. Your liveboards will vary from the example below.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-code-liveboard-list.png?v=38256e9e\" alt=\"Liveboard list\"\u003E\u003C/p\u003E\n","\u003Cp\u003EIf you click on the liveboard you created earlier, you should see it show up in the UI.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-code-embedded-liveboard.png?v=38256e9e\" alt=\"Embedded liveboard\"\u003E\u003C/p\u003E\n","\u003Cp\u003ENow let's embed Spotter.\u003C/p\u003E\n","\u003Ch3\u003EEmbed Spotter\u003C/h3\u003E\n","\u003Cp\u003EThe Spotter embed is simpler &mdash; you just embed Spotter with no additional navigation. Enter a prompt like the following:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EWhen the user selects Spotter, I want to go to the embedded Spotter.  Use auto mode for the model selection.\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EAuto mode means Spotter chooses the model based on the user's question.\u003C/p\u003E\n","\u003Cp\u003EAfter the agent finishes, click the \u003Ccode\u003ESpotter\u003C/code\u003E link in the UI. You should see Spotter embedded with Auto mode. If you ask a question relevant to your data, Spotter will find the right model automatically. If you have multiple similar models, Spotter may ask you to choose one.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-code-embedded-spotter.png?v=38256e9e\" alt=\"Spotter embedded\"\u003E\u003C/p\u003E\n","\u003Cp\u003ENow that we have all the content, let's add a custom style.\u003C/p\u003E\n","\u003Ch3\u003ESet custom styles\u003C/h3\u003E\n","\u003Cp\u003EThoughtSpot lets you add custom styling to embedded content to match your application's look. You can change fonts, button shape, color, and text, and even swap out icons. Changing icons requires a specific format &mdash; see the documentation for details.\u003C/p\u003E\n","\u003Cp\u003EGo back to your embedded liveboard to see what it looks like. Then enter the following prompt (changing colors if desired):\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EI want to use a light theme using blues for all of my embedded ThoughtSpot content including a dark blue for the buttons. Make the buttons square.  Also rename &quot;AI Highlights&quot; to be &quot;Agent Analysis&quot;.\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EAfter the agent finishes, navigate back to the liveboard to see the updates. You should see changes in the liveboard's appearance.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-code-custom-styles.png?v=38256e9e\" alt=\"Styles liveboard\"\u003E\u003C/p\u003E\n","\u003Cp\u003EYou can experiment with the styles or use the Theme Builder shown in the Developer tab of the UI to modify the styles further.\u003C/p\u003E\n&lt;!-- ------------------------ --&gt;\n","\u003Ch3\u003EWhat You Learned\u003C/h3\u003E\n","\u003Cp\u003EAt this point you should have successfully learned the following:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EHow to create a model using SpotterModel\u003C/li\u003E\u003Cli\u003EHow to create a liveboard using SpotterViz\u003C/li\u003E\u003Cli\u003EHow to do analytics using Spotter\u003C/li\u003E\u003Cli\u003EHow to embed ThoughtSpot into an application using SpotterCode\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003ERelated Resources\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EFind out more about the ThoughtSpot Platform: https://docs.thoughtspot.com/cloud/latest\u003C/li\u003E\u003Cli\u003ELearn how to use ThoughtSpot Embedded's developer tools, APIs, and SDKs: https://developers.thoughtspot.com/docs/\u003C/li\u003E\u003Cli\u003ESign up for free ThoughtSpot Embedded training: https://training.thoughtspot.com/path/thoughtspot-embedded\u003C/li\u003E\u003C/ul\u003E"],"description":"","title":"Using ThoughtSpot Agents with Snowflake","isDeveloperGuidesPage":false,"elements":{"quickstartArticleBody":{"dataType":"string","title":"Quickstart Article Body","value":"\u003C!-- ------------------------ --\u003E\n\n## Overview\n\n\u003C!-- ------------------------ --\u003E\n\nThis guide shows you how to use ThoughtSpot agents to create a semantic model, generate analytics liveboards, perform agentic BI, and create custom applications with embedded ThoughtSpot.\n\nThis guide was developed using ThoughtSpot v26.6, so you may see variations with other versions.\n\n### Prerequisites\n\n- While familiarity with ThoughtSpot and software development is helpful, it's not required.\n\n### What You'll Learn\n\n- How to use SpotterModel to create semantic models.\n- How to use SpotterViz to create powerful analytics dashboards.\n- How to use Spotter to perform advanced analytics via a smart chat interface.\n- How to use SpotterCode to quickly and easily embed ThoughtSpot into an application.\n\n### What You'll Need\n\n- A ThoughtSpot account with developer access. You can use a [trial account](https://www.thoughtspot.com/trial)\n- A Snowflake account and credentials if you want to do this QuickStart with your own data. If not, you can use sample data, but won't be able to do the exercise for SpotterModel.\n- An IDE or development environment that supports MCP servers, such as Cursor, VS Code, or Claude Code.\n\n### What You'll Build\n\n- A semantic model against your own data in Snowflake.\n- A ThoughtSpot liveboard on a particular topic.\n- Use Spotter to perform analytics.\n- An embedded application that uses the ThoughtSpot APIs and Embedded SDK.\n\n\u003C!-- ------------------------ --\u003E\n\n## Setup\n\nBefore beginning you'll need a ThoughtSpot account with developer access. You may also need administrator access if security settings are needed. If you aren't currently a ThoughtSpot customer, you can create a [trial account](https://thoughtspot.com/trial). This will allow you to be both an administrator and developer.\n\nEnable SpotterModel and SpotterViz if they aren't already enabled.\n\nFor the coding exercise using SpotterCode, you'll want an IDE or CLI with SpotterCode enabled. See the [instructions](https://developers.thoughtspot.com/docs/SpotterCode) for configuring SpotterCode with common IDEs, such as VS Code and Claude Code.\n\nYou should also clone the [starter code](https://github.com/thoughtspot/ts-snowflake-summit-2026) from GitHub. You can optionally fork the repository, but it's not required.\n\n## SpotterModel\n\n[SpotterModel](https://www.thoughtspot.com/product/agents/spottermodel) is ThoughtSpot's agent for creating governed semantic models for analysis. It lets you go from a data connection in Snowflake to a model ready for users and agents to analyze your data.\n\n![SpotterModel](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-model-overview.avif?v=38256e9e)\n\n### Create a connection to Snowflake\n\nBefore using SpotterModel, you need to create a connection to Snowflake. See the [ThoughtSpot documentation](https://docs.thoughtspot.com/cloud/latest/connections-snowflake) for details. Create the connection and select the tables you want to use for analytics. The following image shows a Banking connection with tables for savings, credit cards, and checking, along with customer and account information.\n\n![Banking Model](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-model-banking-model.png?v=38256e9e)\n\n### Create a model with SpotterModel\n\n#### Create an empty model with your connection\n\nNow that you have your connection, create a new model. From the Data Workspace, select the (+) and then select `Model`.\n\n![New Model](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-model-new-model.png?v=38256e9e)\n\nSelect Build `your own model` from the options and click `Next`.\n\n![Model type](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-model-select-option.png?v=38256e9e)\n\nNow select the connection you created and want to use.\n\n![Select connection](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-model-select-connection.png?v=38256e9e)\n\nYou should now see the data model editor similar to the one below.\n\n![Empty model](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-model-empty-model.png?v=38256e9e)\n\n#### Use SpotterModel to create the model\n\nSpotterModel lets you create a model using only prompts. In the text box on the left, enter a description of the model's use case. The more detail you provide, the better. At minimum, describe the users, the types of data you want, and ideally a few example questions. For example, the banking model uses this prompt:\n\n```\nI'm a banking analyst for a bank and want to do analysis of our customers to understand them and identify additional products and services.  For example, I want to be able to ask about customer with total balances in savings, credit cards, and checking to segment users for potential account upgrades.\n```\n\nSpotterModel will show its progress as it works. When prompted, select the fact tables you want to use. Then click the `Find Supporting Tables` button to find dimension tables. Select the tables you want. You can also drag a table to the canvas or explicitly tell SpotterModel to add it.\n\nAfter you have all the tables you want, select `Find Joins` to add joins between them. Select the joins you want to add. You can also add joins manually, changing the direction and cardinality. The following image shows the banking model.\n\n![Generated model](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-model-initial-generated-model.png?v=38256e9e)\n\nNow that you have the fact and dimension tables, click the `Find Columns` button. SpotterModel selects attributes and measures based on your initial description — which is why a detailed description matters. Once SpotterModel shows the columns, select the ones you want and click `Add to canvas`.\n\nBy default, column names and descriptions aren't very helpful. You can edit them manually, but that means clicking each cell and typing in a value. Instead, let SpotterModel do the work. At minimum, rename the columns, add better descriptions, and add synonyms (alternative search terms). Enter the following prompt:\n\n```\nChange the column names and descriptions to be more helpful for users when searching.  Also add synonyms to the columns so users can use similar terms.\n```\n\nYou should see updated names, descriptions, and synonyms.\n\n![Columns with good names](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-model-column-names.png?v=38256e9e)\n\nAs you make changes, you'll see a `Model Updated` notice after each update. SpotterModel lets you undo changes if you don't like the results.\n\nSave the model now that you have a working version. Give it a descriptive name and description so users and agents know what it's useful for.\n\nSpotterModel can do much more than this. For example, currency values in the model show as plain numbers by default. Use the following prompt to format them as currency:\n\n`Set the columns that contain currency values to USD. These are columns with names like Balance, Payment, etc.`\n\nYou can also create formulas and parameters, etc. Feel free to experiment.\n\nSave the changes and exit the data model. By default, the model isn't enabled for Spotter. To enable it, select the ... menu in the upper right corner and click `Enable Spotter`.\n\n![Enable Spotter](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-model-enable-spotter.png?v=38256e9e)\n\nYou'll see options to enhance the model. At minimum, select `Enable indexing` and choose columns to index. This lets Spotter and search recommend values to improve results. The other options improve data cleanliness but aren't required.\n\n![Enable Spotter](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-model-enable-indexing.png?v=38256e9e)\n\nNow that we have a Spotter-enabled model we can create some content with SpotterViz and Spotter.\n\n## SpotterViz\n\n[SpotterViz](https://www.thoughtspot.com/product/agents/spotterviz) takes you from business questions to a fully styled dashboard, ready to share and use for repeat analysis.\n\nFrom the Insights tab, select the (+) button and the Create Liveboard option to create a new Liveboard.\n\n![New liveboard](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-viz-new-liveboard.png?v=38256e9e)\n\nGive the liveboard a meaningful name and description so others know what it does. You can optionally make it discoverable, which means others can find it in search. You can leave this box checked.\n\n![Name liveboard](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-viz-name-liveboard.png?v=38256e9e)\n\nYou will get a new, empty liveboard in edit mode with SpotterViz open and ready to help.\n\n![Empty liveboard](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-viz-empty-liveboard.png?v=38256e9e)\n\nIn the prompt for SpotterViz, give a detailed description of what you want to create. You can instruct it to create notes, charts, tabs, and styles — all in one step or across multiple steps. You can tweak the results at any time. Use a prompt like the following, adapted for your data.\n\n```\nI want to create a liveboard that let's me analyze banking data about customer accounts.  I want to do analysis based on customer metrics and account metrics.  Include all types of accounts and balances.  I want to separate out the customers and accounts into different tabs.  Add filters for any geographic regions and customer genders.  For each tab add a note to describe the tab.  I want to use best practices for liveboards, so include useful KPIs at the top and then more detailed charts going down the page.  Group related content together.\n\nI want to set a nice style using darker blues.\n```\n\nWait and watch SpotterViz work. It will first recommend a data source — this is why a good name and description matter. Confirm the model, then let SpotterViz create the content. You'll see messages as it creates tabs, visualizations, and more.\n\n![SpotterViz Working](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-viz-working.png?v=38256e9e)\n\nIf you get any errors you can tell SpotterViz to try again.\n\nThis entire process can take a few minutes, but you should eventually get a liveboard. Save the liveboard. You can always go back in and edit the liveboard further using SpotterViz or manually edit content.\n\n![Completed liveboard](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-viz-completed-liveboard.png?v=38256e9e)\n\nNow that we have some static content, let's use Spotter to analyze the data interactively.\n\n## Spotter\n\n[Spotter](http://thoughtspot.com/product/agents/spotter) is an AI analyst for all users. Users can ask questions about their data — including \"why\" questions — and get detailed answers and analysis. Spotter also connects to other data sources and systems for mashups and can push results to applications like Salesforce and Slack.\n\nFrom the Insights tab, select `Spotter`. Then select the data source by clicking the button with the data source name. Spotter also has an Auto Mode that picks the appropriate model based on your question. For this exercise, select the model you created earlier. You should see an empty Spotter interface with the model selected, as shown below. The model in this example is the Banking Analysis model.\n\n![New Spotter conversation](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-empty-search.png?v=38256e9e)\n\nIf you're not familiar with the data set, ask Spotter to describe it. Enter the following prompt and let Spotter respond:\n\n```\nTell me about this data source and the types of analysis I can do and the questions I can ask.\n```\n\nAfter Spotter reviews the data set, it will describe the different data sources, metrics, dimensions, types of analysis, and example questions.\n\n![Description of tables](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-response-about-tables.png?v=38256e9e)\n\n![Example questions](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-response-with-questions.png?v=38256e9e)\n\nNow ask a question. The example below uses credit scores by age group and state. Ask something appropriate for your data.\n\n`Show me the average credit scores by age group and state.`\n\n![Credit score response](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-response-credit-by-state-and-age-group.png?v=38256e9e)\n\nThe result is interesting, but the full data set is hard to read. You can interact directly with the visualization to drill down and filter. Let's refine the question to focus on western states and adults 55 and older.\n\n`Filter the data by the states in the west region and limit to customers 55 years old and older.`\n\n![Filtered by western states and 55+](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-response-55-plus.png?v=38256e9e)\n\nReview the insights returned by Spotter.\n\nSpotter also lets you work with external data sources and send results to applications like Slack or Teams. Click the manage connections icon in the bottom right (next to the arrow button) and verify that Web Search is enabled. Enable it if it's not.\n\n![Manage connections](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-manage-connections.png?v=38256e9e)\n\nIn this case, let's find out what the average retirement balance is for the states we just filtered by using the web connection.\n\n`Compare the credit scores for the filtered data with a web search of the average retirement income for the customer groups and identify opportunities to provide products.`\n\nYou'll likely need to allow Spotter to search the web — this is a security confirmation for external connectors. You should get a response that combines the web search with your filtered data.\n\nDepending on what Spotter finds and your data you should get analysis and recommendations.\n\n![Spotter recommendations](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-recommendations.png?v=38256e9e)\n\nNow that we have a working model, a liveboard, and Spotter, we'll embed them all into our own web application using SpotterCode.\n\n## SpotterCode\n\n[SpotterCode](https://www.thoughtspot.com/product/agents/spottercode) lets you add ThoughtSpot to your own applications using chat prompts. SpotterCode knows the SDKs, APIs, and developer examples, making it easy to generate correct embed code quickly.\n\nIn this section, you'll build an application using SpotterCode. You need to have completed the following:\n\n- Downloaded the starter code from GitHub: `git clone https://github.com/thoughtspot/ts-snowflake-summit-2026`. You can also just use your own application if you want.\n- A code editor with SpotterCode configured. See the [documentation](https://developers.thoughtspot.com/docs/SpotterCode) on how to configure it with various IDEs. All examples in this guide use VS Code with Claude Code.\n\nYou will also need a browser with third-party cookies allowed. These examples use Chrome.\n\nAfter downloading (and unzipping if needed), go into the directory and run:\n\n$ `npm install`\n$ `npm run dev`\n\nThe app will start and display its URL.\n\n![NPM startup](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-code-npm-run-dev.png?v=38256e9e)\n\nIf you navigate to the page, you should see something like the following:\n\n![Spotter app landing page](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-code-starting-page.png?v=38256e9e)\n\nWe're going to build this app in four steps:\n\n1. Initialize the ThoughtSpot SDK to communicate with ThoughtSpot.\n2. Do an API call for liveboards and allow users to select one they can embed.\n3. Embed Spotter.\n4. Set custom styles for the embedded content.\n\n### Initialize the SDK\n\nThe ThoughtSpot Visual Embed SDK provides all the classes and components you need to embed ThoughtSpot. Enter the following prompt, replacing the URL with your ThoughtSpot URL:\n\n```\nI want to embed ThoughtSpot into this application.  I'm going to connect to https://\u003Cyour-ts\u003E.thoughtspot.cloud/ and use no authentication (i.e. pick it up via cookies). Set up the initialization so it will happen before any embedding.\n```\n\nThis prompt does two things. First, it tells SpotterCode which ThoughtSpot URL to connect to. Second, it disables authentication. While ThoughtSpot supports SSO via SAML and OIDC as well as token-based auth, you can skip that setup for this exercise. If you aren't already logged in, you'll see a login screen the first time you access ThoughtSpot content.\n\nThe prompt also tells SpotterCode to initialize the SDK before any embedded content loads. You can add details about coding standards or structure you want to enforce.\n\nAs the agent runs, it may prompt for permissions. Accept them to allow changes. You should see it install the Visual Embed SDK via npm, review the code, and add or modify files. For example, it may create a `ThoughtSpotProvider` that calls `init` and wrap the children in the `layout.tsx` file to ensure `init` runs before any content loads.\n\nRefresh the page to verify there are no issues. If you see an error about a `Mixpanel` token, you can safely ignore it.\n\n### Embed liveboards\n\nNow that we've initialized the SDK, we can start embedding content. Let's start with liveboards. Run the following prompt:\n\n```\nWhen the user selects the liveboards option, I want to go to the liveboards page and see the liveboards I have available as cards with the title and description.  Use the metadata search API for the list. Then, when I click on a liveboard, I want to go to the specific liveboard (use slugs for bookmarking). Disable the ability to download or view TML. And I want to make sure I have two-column layout enabled as well as the masterpieces mode. Make sure the liveboard takes all the available space between the header and footer.\n```\n\nThis prompt asks for the liveboards page to show tiles for all available liveboards so the user can click one to view it. It includes styling instructions to make the liveboard fill the available space and disables TML access, which removes those items from the liveboard menu. The SDK lets you control not just what content appears but also what actions users can take.\n\nThis step can take several minutes as the coding agent and SpotterCode work out the structure, API call, and embed logic. You should see new folders for liveboard navigation and updates to the liveboard page. When complete, click the `Liveboards` link in the header. Your liveboards will vary from the example below.\n\n![Liveboard list](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-code-liveboard-list.png?v=38256e9e)\n\nIf you click on the liveboard you created earlier, you should see it show up in the UI.\n\n![Embedded liveboard](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-code-embedded-liveboard.png?v=38256e9e)\n\nNow let's embed Spotter.\n\n### Embed Spotter\n\nThe Spotter embed is simpler — you just embed Spotter with no additional navigation. Enter a prompt like the following:\n\n```\nWhen the user selects Spotter, I want to go to the embedded Spotter.  Use auto mode for the model selection.\n```\n\nAuto mode means Spotter chooses the model based on the user's question.\n\nAfter the agent finishes, click the `Spotter` link in the UI. You should see Spotter embedded with Auto mode. If you ask a question relevant to your data, Spotter will find the right model automatically. If you have multiple similar models, Spotter may ask you to choose one.\n\n![Spotter embedded](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/thoughtspot-agents/spotter-code-embedded-spotter.png?v=38256e9e)\n\nNow that we have all the content, let's add a custom style.\n\n### Set custom styles\n\nThoughtSpot lets you add custom styling to embedded content to match your application's look. You can change fonts, button shape, color, and text, and even swap out icons. Changing icons requires a specific format — see the documentation for details.\n\nGo back to your embedded liveboard to see what it looks like. Then enter the following prompt (changing colors if desired):\n\n```\nI want to use a light theme using blues for all of my embedded ThoughtSpot content including a dark blue for the buttons. Make the buttons square.  Also rename \"AI Highlights\" to be \"Agent Analysis\".\n```\n\nAfter the agent finishes, navigate back to the liveboard to see the updates. 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