Adept Unveils Advanced AI Agents with Multimodal Capabilities

Tony Kim Aug 25, 2024 08:31 Adept introduces AI agents powered by Adept Workflow Language (AWL) to streamline complex web interactions and enterprise automations.

Artificial intelligence company Adept has unveiled a new generation of AI agents powered by Adept Workflow Language (AWL) to streamline complex web interactions and enterprise automations.

Built on Adept.ai's custom-built AWL, these agents are designed to translate user intent into actions, handling tasks ranging from the intricate to the mundane. Adept.ai describes AWL as a powerful language that enables users to create advanced workflows with ease.

Adept's AI agents are engineered to be reliable, robust, and user-friendly. These agents can handle everything from complex tasks to repetitive chores. They are built on a suite of multimodal models that are trained to understand screens, reason about content, and make plans from the earliest stages of training.

Key characteristics of Adept's AI agents include:

1. Adept Workflow Language (AWL)

Adept.ai's proprietary AWL is a syntactic subset of JavaScript ES6 that offers powerful abstractions to define multimodal web interactions. Users write workflows in AWL, which directly translate to model calls.

Specific AWL functions enable users to write instructions in natural language, which the model translates into detailed AWL. For instance, AWL functions like click(“Compose”) and act() provide a flexible way to define agent behavior. The former locates elements on the screen and generates function calls to interact with them, while the latter takes natural language inputs to invoke an agent reasoning loop, allowing the agent to make plans and execute tasks dynamically.

2. Practical Applications

Adept demonstrated how AWL can be used to create workflows for various applications. One example involved viewing a PDF of event attendees, extracting information, and creating a new lead in Hubspot. The same workflow was replicated for Salesforce with minimal changes, showcasing the flexibility and efficiency of AWL.

Another example highlighted the extraction of patient diagnosis notes from a PDF and entering them into an EMR system. The agent could also handle tasks like creating customer records in Stripe from Google Sheets data and managing leads in Salesforce based on inbound emails.

3. Transformative Potential

Adept's AI agents have the potential to revolutionize business operations. The ability to create automations in natural language lowers the barrier for adoption, enabling more users to become citizen developers. This can reduce costs, speed up time to value, and increase the appetite for automations across various workspaces.

Furthermore, Adept's agents can handle more complex workflows involving unstructured data, offering increased resilience and robustness. Their inference-time reasoning allows them to adapt to underlying web changes, making them suitable for a wide range of applications.

Adept is committed to making automations easier for a broader audience, enabling more types of workflows more frequently. The potential for business transformation with Adept's AI agents is significant, offering simpler, faster automations and the ability to automate more complex tasks.

For more detailed examples of workflows built with AWL, visit the Adept.ai blog.

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