Adept logo

Adept

AI lab building a machine learning model that can use every software tool in the world.

About Adept

Adept is an AI research and product lab building a new way for humans and computers to work together. Their primary product, ACT-1, is a large-scale transformer model trained to use digital tools. It can take high-level natural language requests and turn them into actions across any software, from spreadsheets and CRMs to design tools and web browsers.

Whether you need help writing code, drafting emails, brainstorming creative ideas, or explaining complex topics, Adept serves as a versatile digital assistant capable of handling a wide array of linguistic tasks with remarkable nuance and accuracy.

Key Features

ACT-1 Model

A specialized LLM designed to interact with and control software interfaces.

Natural Language Actions

Perform complex tasks across apps by simply describing them.

Cross-App Workflows

Seamlessly move data and perform actions between different software tools.

Universal Interface

A single point of interaction for all your digital tools.

Enterprise Automation

Designed to handle the scale and complexity of corporate workflows.

Pros & Cons

Pros

  • +Potentially revolutionary way to interact with software
  • +Can automate tasks in any application, not just those with APIs
  • +Reduces the need for manual data entry and context switching
  • +Built by a team of world-class AI researchers

Cons

  • -Still in early development and not widely available
  • -The full capabilities and limitations are not yet fully known
  • -May require significant integration effort for certain enterprise environments

Frequently Asked Questions

What is ACT-1?
ACT-1 is Adept's first model, designed to take natural language instructions and execute them in software tools.
Can I use Adept now?
Adept is currently in a limited release phase. You can join their waitlist on the official website.

Updated on May 2026

Tool Details

PricingContact for Pricing
DeveloperUnknown
Launched2022
API AvailableYes