Adept

9.1(240)

ACT-1 is a large-scale Transformer trained to use digital tools — among other things, it is recently taught how to use a web browser. Right now, it’s hooked up to a Chrome extension which allows ACT-1 to observe what’s happening in the browser and take certain actions, like clicking, typing, and scrolling, etc. The observation is a custom “rendering” of the browser viewport that’s meant to generalize across websites, and the action space is the UI elements available on the page.

ACT-1 can take a high-level user request and execute it. The user simply types a command into the text box and ACT-1 does the rest.

Natural language interfaces, powered by action transformers like ACT-1, will dramatically expand what people can do in front of a computer/phone/internet-connected device. A few years from now, we believe:

Most interaction with computers will be done using natural language, not GUIs. We’ll tell our computer what to do, and it’ll do it. Today’s user interfaces will soon seem as archaic as landline phones do to smartphone users.

Beginners will become power users, no training required. Anyone who can articulate their ideas in language can implement them, regardless of expertise. Software will become even more powerful as advanced features become accessible to everyone and no longer constrained by the length of a drop-down menu.

Documentation, manuals, and FAQs will be for models, not for people. No longer will we need to learn the quirky language of every individual software tool in order to be effective at a task. We will never search through forums for “how to do X in Salesforce or Unity or Figma” — the model will do that work, allowing us to focus on the higher-order task at hand.

Breakthroughs across all fields will be accelerated with AI as our teammate. Action transformers will work with us to bring about advances in drug design, engineering, and more. Collaborating with these models will make us more efficient, energized, and creative.

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What to know

Key features

Natural language command execution for software interaction
UI interaction via computer vision (pixel-based navigation)
Multi-application workflow orchestration across different SaaS tools
Web browser automation including clicking, typing, and scrolling
Generalizable AI capabilities across various digital interfaces
Document and data visualization interpretation (graphs and charts)

Best for

Automating repetitive data entry across multiple business applications
Navigating complex enterprise software using plain English instructions
Consolidating multi-source web data into spreadsheets autonomously
Executing multi-step workflows in CRMs like Salesforce
Extracting key information from PDFs and contracts to update internal systems

Pros

Significant reduction in software learning curve for new users
Eliminates need for custom API integrations for automation
Increases productivity by automating tedious multi-app tasks

Cons

Limited public availability due to private beta status
Requires human supervision for highly complex tasks
Lack of transparent public pricing

Adept FAQ

What is Adept used for?

Adept is commonly used for Automating repetitive data entry across multiple business applications, Navigating complex enterprise software using plain English instructions, Consolidating multi-source web data into spreadsheets autonomously.

Is Adept free?

Adept uses custom pricing.

How do I compare Adept with alternatives?

Review pricing, feature coverage, ratings, and similar tools on this page before visiting the product site.