A hosting agent, grounded in Qloo's taste graph
Dinner for people who don't share a taste. Yet.
Give Hostwise two or three favourite films, songs, shows or books for each guest. Its agent works across Qloo's cultural graph to plan the menu, the soundtrack, the film for after, who sits next to whom, and what they'll talk about, then checks that nobody is left out.
How the agent plans an evening
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1
Pool the table
Every guest's favourites go to Qloo together, across films, music, series, books and games, to find what the room as a whole leans towards.
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2
Score for each guest
The shortlist is then scored against each guest's taste on its own, so one person's favourite can't quietly drown out another's.
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3
Critique and re-plan
If anyone would be left out, the agent fetches picks from their side of the graph and re-scores them for everyone. It also checks film length and dietary needs.
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4
Seat and spark
Qloo's audience comparison shows what each pair of guests has in common. That decides the seating and writes the conversation cards.
Who's coming?
Two to eight guests. One to four favourites each, in any mix of domains.
Guest names stay in your browser. Only the favourites you pick are sent to Qloo; dietary needs are used on our server to choose dishes and are never sent to Qloo.
Tonight's plan
An evening for
Why not just ask a chatbot?
A language model will happily suggest "a crowd-pleasing film and some Italian food". It cannot tell you that the crowd-pleaser leaves one guest at the bottom of their own taste, or which two people at your table quietly share a soft spot for funk. Hostwise can, because every pick is scored against each guest in Qloo's taste graph, and the evidence is right there on the plan.
Qloo results describe aggregate cultural affinities, not individuals. Hostwise uses them as a starting point for a good evening, not a verdict on anyone.