> For venue recommendations [...] we do not rely purely on the language model. We embed both user requirements and venues into vector representations and retrieve candidates using similarity search. Hard constraints such as capacity and dates are applied first, and results are ranked before being presented.

Huh this surprised me as a forgone opportunity.

I heard second-hand about the process for organizing our last offsite. Searching for venues was not the time-consuming part.

The time-consuming part was actually engaging with the venues to confirm specific details not available online. Our teammate who did this engaged with _hundreds_ of venues. It was a lot of work on their part ... and probably not the most fun part of their job.

That seems like an ideal agent scenario?