<p>Data binding allows you to write data to the data store using <a href="/components/inputs" title="Input components">Input components</a> and <a href="/actions/integration-actions" title="Actions">Actions</a>, as well as add static data using the <a href="/editor/data-store-menu" title="Data Store Menu">Data Store Menu</a>. You can also read data from the data store in various places in Toolmark such as Actions, Text Components, and most component settings.</p>
<h2 id="writing-data-to-data-store"><a aria-hidden="true" tabindex="-1" href="#writing-data-to-data-store"><span class="icon icon-link"></span></a>Writing data to data store</h2>
<h3 id="inputs-data-key"><a aria-hidden="true" tabindex="-1" href="#inputs-data-key"><span class="icon icon-link"></span></a>Input's Data Key</h3>
<p><a href="/components/inputs" title="Input">Input</a> or <a href="/components/ai-inputs" title="AI input">AI input</a> components allow you to specify a <code>Data Key</code> using the <a href="/editor/component-menu" title="Component Setting Menu">Component Setting Menu</a>. This is where to store the data provided by the user using this input field</p>
<p>For example, assume you have a Text Input field whose <code>Data Key</code> is <code>userName</code>, and you ask user to type in their name. While they're typing, the content will be stored in the given <code>userName</code> key. If they type <code>John Doe</code>, <code>userName</code> key will have this value.</p>
<p><img src="https://s3.us-east-1.amazonaws.com/resource.mixa.site/toolmark/img/img-data-binding-input-data-key.png" priority="1"></p>
<h3 id="actions-result-data-key"><a aria-hidden="true" tabindex="-1" href="#actions-result-data-key"><span class="icon icon-link"></span></a>Action's Result Data Key</h3>
<p><a href="/actions/integration-actions" title="Actions">Actions</a> allow you to specify a <code>Result Data Key</code> using the <a href="/editor/action-menu" title="Action Menu">Action Menu</a>. This is where to store the result of the action.</p>
<p>For example:</p>
<ul>
<li>If you use a <code>POST Requet</code> Action whose <code>Result Data Key</code> is <code>serverData</code>, once the request is sent and response is received, the response from the API will be stored in the given <code>serverData</code> key</li>
<li>If you use <code>Extract PDF Text</code> Action whose <code>Result Data Key</code> is <code>pdfContent</code>, once the pdf content is read from the given url, its content will be stored in the given <code>pdfContent</code> key</li>
</ul>
<p><img src="https://s3.us-east-1.amazonaws.com/resource.mixa.site/toolmark/img/img-data-binding-result-data-key.png"></p>
<h3 id="static-data"><a aria-hidden="true" tabindex="-1" href="#static-data"><span class="icon icon-link"></span></a>Static Data</h3>
<p>You can also add static data using <a href="/editor/data-store-menu" title="Data Store Menu">Data Store Menu</a>. This is helpful to define your static context in a central place and use it from various other places.<br>
You can create data in <code>Text</code>, <code>JSON</code>, and <code>Number</code> types. Type matters when you are reading these keys.<br>
<img src="https://s3.us-east-1.amazonaws.com/resource.mixa.site/toolmark/img/img-data-binding-static-data-key.png"></p>
<h2 id="reading-data-from-data-store"><a aria-hidden="true" tabindex="-1" href="#reading-data-from-data-store"><span class="icon icon-link"></span></a>Reading data from data store</h2>
<p>You can read data from Data Store in your actions, component content and component settings. All you need to do is using double curly brackets around your data key. So, if you need to read the content of <code>userName</code> data key, all you need to do is using <code>{{userName}}</code>.</p>
<p>Let's explore some examples of reading data to better understand it</p>
<h3 id="reading-data-in-actions"><a aria-hidden="true" tabindex="-1" href="#reading-data-in-actions"><span class="icon icon-link"></span></a>Reading data in Actions</h3>
<p>When you create a prompt action, you can use any data keys within your prompts. That means, you can use</p>
<ol>
<li>Data Keys coming from user input through Input Components</li>
<li>Result Data Keys coming from other executed actions</li>
<li>Static Data Keys created from the <a href="/editor/data-store-menu" title="Data Store Menu">Data Store Menu</a></li>
</ol>
<pre><code>You are a professional cover letter writer. You use a {{toneInput}} tone. For the given information about myself and job description, write a cover letter. My info: {{resumeInput}}. Job details: {{jobDetailsInput}}
</code></pre>
<p>You can also use Data Keys in any of the action fields while creating an action from the <a href="/editor/action-menu" title="Action Menu">Action Menu</a>. For example, if you're creating a POST Request action, you can provide this for the <code>body</code> field</p>
<pre><code>{
  "email": "{{userEmailInput}}",
  "name": "{{userNameInput}}",
  "api_key": "ABCD"
}
</code></pre>
<h3 id="reading-data-in-component-content"><a aria-hidden="true" tabindex="-1" href="#reading-data-in-component-content"><span class="icon icon-link"></span></a>Reading Data in Component Content</h3>
<p>You can access data keys with <code>{{dataKeyName}}</code> syntax within your text component</p>
<pre><code># This is the main heading
## {{generatedTitle}}

{{generatedContent}}

and that's all
</code></pre>
<h3 id="reading-data-in-component-settings"><a aria-hidden="true" tabindex="-1" href="#reading-data-in-component-settings"><span class="icon icon-link"></span></a>Reading Data in Component Settings</h3>
<p><strong>Image Component</strong><br>
When you switch Image Component to Manual mode, you can provide a static image url. If the link is not something you can hard-code, but generated by an action (e.g. generated by DALL-E, or read with an API call), then you can access the value with <code>{{dataKeyName}}</code> syntax.<br>
<img src="https://s3.us-east-1.amazonaws.com/resource.mixa.site/toolmark/img/img-image-setting-mode.png" width="320"></p>
<p><strong>Component Conditional Setting</strong><br>
All the components have a Conditional section in the <a href="/editor/component-menu" title="Component Settings Menu">Component Settings Menu</a>. You can directly provide conditions using Data Keys without using <code>{{}}</code>. This is one of the few exceptions where you don't need curly brackets to access the data.</p>
<p><img src="https://s3.us-east-1.amazonaws.com/resource.mixa.site/toolmark/img/img-conditional-setting.png"></p>
<p><strong>Input Components with Options</strong><br>
When you use an <a href="/components/inputs" title="Input Component">Input Component</a> that supports options (like Select Input or Radio Input), you don't have to provide a static-list. Sometimes, you want to show options from a Data Key which is populated by AI or another action.<br>
For example, if you are generating a list of titles for the given topic and then asking user to select one of the generated titles like in <a href="https://blogpost.toolmark.app">our Blog Post Writer example</a>, you can turn on the <code>Data Key</code> options mode for the Radio Group Input and type the Data Key that AI is populating the suggestions into</p>
<p><img src="https://s3.us-east-1.amazonaws.com/resource.mixa.site/toolmark/img/img-data-binding-options.png"></p>

Learn how to build AI Apps and Chrome Extensions without code using Toolmark. Explore the Toolmark Editor and example projects to get started building your own AI tools today.

Getting Started

Learn about the core concepts of the Toolmark builder: Canvas, Component, Action, and Data Store. Understand how these elements interact to create dynamic and interactive AI apps.

Concepts

Learn the power of Toolmark's Data Binding feature. Effortlessly write and read data using input components, actions, and more for enhanced interactivity and user engagement.

Data Binding

Easily transform any AI tool created on Toolmark.ai into a Chrome Extension with no extra effort. Install the Toolmark.ai Chrome Extension, add your tools, and access them directly from any website for a seamless browsing and productivity boost.

Building Chrome Extensions

Learn the essentials of managing your tools with Toolmark's intuitive dashboard. Learn how to organize, access, and embed your tools for enhanced productivity and seamless integration.

Tool Management Basics

Learn how to seamlessly embed your tools directly onto your website to enhance user experience and expand your tool's reach. This guide provides step-by-step instructions for enabling embedding, whitelisting your site, and securely integrating your tool's functionality within your web pages.

Embedding Tools to Your Website

Gain valuable insights into your tool's performance with detailed metrics on action duration, frequency, and type.

Tool Analytics

Learn about the Toolmark Editor interface with this comprehensive guide. Discover how to use the Canvas, Left Menu, Right Menu, and Top Menu to build and customize your tools effectively. Perfect for both beginners and experienced users.

Toolmark Editor

editor

Discover the power of the Canvas with its drag-and-drop interface for an intuitive design experience. Learn how to select, customize, and manage UI components like buttons and input fields for your tool's layout.

Canvas

Learn how to use Toolmark's Component Menu for easy drag-and-drop of Containers, Elements, Inputs, and AI Inputs into the canvas, enhancing your tool-building process with customization and efficiency.

Component Menu

Optimize and manage your tool's components with ease using Toolmark's Layer Menu. This feature allows for streamlined visibility control, effortless reordering, and simple renaming of components, enhancing your design process and organization.

Layer Menu

Discover how to enhance your projects with dynamic interactions using the Actions Menu. Learn to create prompt and integration actions for data fetching, AI content generation, and more.

Action Menu

Effortlessly manage and debug your interactive tools with Toolmark's Data Store Menu. Seamlessly add static data to components, enhancing tool functionality and user experience. Ideal for developers seeking efficient state management and debugging solutions.

Data Store Menu

Learn how to use Toolmark's Style Menu to customize and design your tool. Drag and drop components, access functionalities, and explore styling options to create the perfect AI tool for your needs.

Style Menu

Master Toolmark's Tool Config Menu: Easily set up subdomains, titles, descriptions, categories, and cover images to optimize and personalize your tools for better engagement and visibility.

Tool Config Menu

Dive into the essentials of using the Component Settings Menu in Toolmark with our detailed guide. Learn how to effortlessly customize UI components to align with your brand, enhance user experience, and elevate your tool's design.

Component Settings Menu

Enhance your text components with the Bubble Menu, offering customization options like headings, code blocks, links, and text formatting. Utilize markdown for quick edits.

Bubble Menu

Learn Toolmark's Top Menu and how to efficiently use the Back, Undo/Redo, Preview, Save, Publish, and tool naming features to streamline your design process, ensuring a seamless and productive tool creation experience.

Top Menu

Explore Toolmark Editor's Components: Dive into using Containers, Elements, Inputs, and AI Inputs for crafting interactive, visually stunning tools with ease. Perfect your tool-building with our drag-and-drop interface.

Components

components

Organize UI components effectively with containers. Control layout with color, display (flex or grid), alignment, gap, size, and more. Create dynamic interfaces using repeated containers, tabs, and collapsible sections for enhanced user experience.

Containers

Master the art of document design with our comprehensive guide to elements. Learn how to use text, links, buttons, images, dividers, and HTML to create visually engaging and interactive content.

Elements

Learn about common settings, types of inputs including Text, Multiline, List, Editor, Select, Multi Select, Radio Group, Checkbox, Toggle, and Range Inputs, and best practices for enhancing user interaction and data collection.

Inputs

Enhance your productivity with AI Inputs, a powerful tool that integrates AI capabilities into your workflow. Easily add AI actions to your inputs, enabling auto-completion, content generation, and intelligent suggestions.

AI Inputs

Supercharge your Toolmark AI tools with the Advanced Editor Input. This Notion-style component offers customizable toolbars, AI-powered actions for text generation and automation, and user-defined prompts for a personalized writing experience.

Advanced Editor Input

Customize UI components with ease! Learn about common settings like margin, padding, shadow, click/load actions, and conditional visibility to create dynamic and engaging user interfaces.

Common Settings

Learn how to use Actions in Toolmark to generate AI content, fetch external data, and interact with web pages.

Actions

actions

Explore the comprehensive guide to AI Prompts in Toolmark. Learn how to create, chain, and use AI Prompts with various models for dynamic and interactive note-taking. Understand how to leverage variables, output types, and Replicate models for enhanced productivity.

AI Prompt Actions

Connect your projects to external platforms & services with Integration Actions. Fetch data via API calls, interact with Airtable & Zapier, scrape websites, send emails, and more. Streamline workflows with powerful integrations.

Integration Actions

Interact with web pages directly from your Chrome Extension using Toolmark Editor. Learn how to read data, update fields, and trigger actions on any website without coding. Install the Toolmark AI Chrome Extension and boost your productivity.

Chrome Extension Actions

Explore a variety of Toolmark examples to enhance your AI App building experience. Discover tips, tricks, and templates to boost productivity and organization. Perfect for users at any level!

Examples

examples

Learn to build a City Guide Creator with AI using Toolmark's no-code platform. This step-by-step guide covers creating static pages, adding inputs, using AI prompts with GPT and DALL-E, generating images, and working with lists. See a demo and build your own AI-powered city guide today!

Step-by-step City Guide

Generate delicious recipes instantly! Enter your ingredients and preferred cooking style (one-pot, grill, deep-fry), and our AI-powered recipe generator will create a custom dish just for you. Try it now and learn how to build your own AI tools!

Recipe Generator

Learn how to create a Chrome extension that summarizes web page content using GPT-4. This tutorial covers creating actions to read and summarize text, designing UI components, and publishing your extension. Install the Toolmark Chrome Extension and start summarizing!

Content Summarizer Chrome Extension

Build a custom cover letter with AI! This tool uses your resume, job description, and preferred tone (confident, friendly, etc.) to generate a tailored cover letter instantly. Includes example resume and job details to get you started.

Cover Letter Writer

Learn how to build an AI-powered Course Slide Summary and Quiz Generator using Toolmark. This tutorial provides a step-by-step guide to creating a tool that takes course slide PDFs, generates summaries and quizzes using GPT, and displays them interactively with various UI components. Enhance your learning materials and create engaging quizzes effortlessly. No coding required!

Course Slide Summary and Quiz Generator

Generate landing pages instantly with AI! This tool creates headlines, copy, feature lists, and images based on your product description. Learn how to build your own landing page generator using chained AI actions and more. See a demo and start creating today!

Landing Page Builder

Learn how to build a no-code language translator app with Toolmark. This guide covers adding text input, language selection, using GPT-4 for translation, and displaying the results. See a demo and get started building your own AI tools today!