Abstract: Embodiments of the disclosed technologies include receiving a first query including at least one first query term and configuring at least one prompt to cause a large language model to translate the at least one first query term into a set of functions that can be executed to obtain at least one second query term and generate and output a plan that is executable to create a modified version of the first query based on the at least one second query term. The plan is obtained by applying the large language model to the at least one prompt as configured. The plan is executed to determine the at least one second query term and create the modified version of the first query. The modified version of the first query is executed to provide, via the user interface, a response to the first query.

Abstract: A system and method for automatically targeting content to recruiting candidates are provided. A set of users that satisfy one or more search criteria is identified as candidates. A recruiting system assigns each candidate to a nurture flow that comprises multiple segments, each segment associated with one or more actions to perform relative to the candidate, such as sending certain content to the candidate through one or more delivery channels. In one approach, each candidate's progress is tracked to determine which candidate characteristics are determinative of successful recruitment.