Content component

Figma Component

Content component provides a complete set of styles for article like, semantically correct HTML content.

For styling individual textual User Interface elements, see Typography component.

Work. Reimagined.

Sema4.ai is on a mission to define the future of knowledge work. We build intelligent agents that transform how knowledge workers team up with AI to make decisions and get things done throughout the enterprise. Welcome to a new era of meaningful human-AI collaboration.

Me: Hi!

Agent: Hi, how can I help you?

Me: What time is it in Lisbon?

Enterprise AI agents are the killer app of the AI era – generating unprecedented breakthroughs in enterprise productivity and forever changing how work gets done.

What is an enterprise AI agent?

Enterprise AI agents are next generation apps that perform complex work with unprecedented levels of accuracy and efficiency.

  • Agents are driven by large language models but offer capabilities far beyond them. Agents are driven by large language models but offer capabilities far beyond them.
  • Agents are trained using plain English, making it easy for non-technical users to create and maintain them.
  • Agents can see and understand documents and images.

For the first time, LLMs enable intent to be programmable, allowing users to express and execute complex tasks using natural language. We build intelligent agents with semantic meaning at their core.

Action Python code

Use the @action that makes your Python method an Action. Use additional arguments like is_consequential to control Action's behviour. It's also possible to give your Action a human readable name. One Python file can contain several Actions, and you can have multiple Python files in a package.

  1. Metadata - Determines how Studio and Control Room Gallery display your Actions and where the documentation is located.
  2. Python Environment - How the Python environment and dependencies are build on developer's local machine and once deployed.
  3. Packaging - Additional instructions for packaging. For example, to define what should be excluded when publishing Actions.
BrowserBrowser with this engine
chromiumGoogle Chrome, Microsoft Edge (since 2020), Opera
firefoxMozilla Firefox
webkitApple Safari, Mail, AppStore on MacOS and iOS

Sema4.ai provides an extension for Visual Studio Code that brings all the Sema4.ai features into your favorite editor so you can create, run, and debug actions, and use other powerful features.

h4 - Learn more and join the community

A developer is typically the individual who will be coding the project.

  • Create a Sema4.ai Robot task which will execute on email trigger
  • Configure a process in Sema4.ai Control Room
  • Configure a flow in the Microsoft Power Automate
Agent.ai Studio
h5 - Choose the next steps

Building custom AI Actions is a powerful way to extend the capabilities of your AI Agents. You can create Actions that interact with your own systems, APIs, and data sources, or build on top of the Actions provided by Sema4.ai. This section gets you started with building your own Actions.

h6 - Choose the next steps

Building custom AI Actions is a powerful way to extend the capabilities of your AI Agents. You can create Actions that interact with your own systems, APIs, and data sources, or build on top of the Actions provided by Sema4.ai. This section gets you started with building your own Actions.

Properties

NameDescriptionDefault
gap
Flexbox gap size
-
Note: This table does not include native DOM and React properties like `onClick`, `ref`, `id`, `aria-label` (and many others) supported by this component.