Overview

Copilot guides users through well-designed workflows, integrating deterministic intent and generative AI to perform specific tasks like scheduling and calibration.

Each workflow is divided into a series of tasks displayed in the Copilot UI upon completion, with the workflow concluding when the final task is completed. These tasks form a connected graph, with nodes representing steps and edges indicating interactions. User engagement with a step triggers progression to the next step based on the interaction edge chosen.

Each step performs a specific task, using context and generative AI to gather necessary data and update the conversation context or incorporate messages as needed.

Here are a couple of workflow tutorials using Copilot.

Invite to apply

This workflow helps users select a group of candidates and create personalized messages. These messages encourage them to apply for a job, resulting in improved response rates. Copilot also tracks the success of these messages and informs the recruiter, so they can take any neccessary recruitment steps.

Create a community

Copilot can automatically create a community with details such as description and calibration from the user’s natural language inputs. It can also start campaigns by applying filters based on the initial description.