Workflows can do repetitive tasks for you. For example, this workflow moves the candidate to a technical interview round once the recruiter is satisfied with their take home test submission.

Today we’re opening access to Adept Experiments 🧪, a new way to explore the technology we are developing at Adept. Each experiment is a self-contained mini-tool or demo that showcases a part of our underlying tech.

The first Experiment we're rolling out is Workflows ⚡️ A foundational skill for an AI teammate is to 1) quickly learn a task from a user and 2) reliably run it. Workflows are designed around this philosophy. So... what can workflows do?

Workflows can turn unstructured data into structured data. Here is a workflow that enables Adept to open attached invoices, extract information, and move it into accounts payable software.

Workflows can trivially hop between tools, making moving information between them seamless. An insurance agent can easily extract information from claims emails and insert the data into forums.

Workflows can even teach a novice user to navigate the tool like an expert. Here, a new store manager uses Adept to easily create new discount codes.

You can also build your own Workflows by putting together actions like "click" and "type" through simple English in the Workflow Builder! Perhaps you could automate away ordering your dinner 🍱

Workflows is powered by ACT-2, a multimodal model fine-tuned from the Fuyu family and optimized for UI understanding, knowledge worker data comprehension, and action taking.

Because Workflows is an Experiment, it often requires some careful prompting to make it do what you want. Some sites work better than others. Stay tuned for more Experiments and research updates as we continue to iterate.