Building Powerful Agents with Adept
Adept Workflow Language (AWL) is an expressive, custom language that allows users to easily compose powerful multimodal web interactions on top of Adept’s models.
Here at Adept, we define AI agents as “software that can translate user intent into actions.” We envision a world in which AI can assist users in everything from the handling of complex, taxing tasks to executing a high volume of rote chores — all in service of freeing up a user’s time and headspace.
Building our agent requires powerful multimodal capabilities: our agent understands the screen, reasons about what is on the page, and makes plans. Our suite of multimodal models have been trained on these capabilities from the earliest training stages. To build a truly usable agent on top of this — one that you can depend on in production — requires even more carefully-designed characteristics.
Key to these features is Adept Workflow Language (here on out referred to as AWL): a proprietary, custom language developed at Adept. AWL is a syntactic subset of Javascript ES6, and provides users with powerful abstractions to dictate multimodal web interactions. Users write agent workflows in AWL that directly translate to model calls. Some specific AWL functions (described in the next section), also allow users to write instructions in natural language, which our model subsequently translates into detailed AWL.
