The Case for an Agent Operating Layer
Settlement, fraud checks, and disputes don't scale if a person has to look at every one of them. Here's why we're designing PLLAY's back end to run mostly on its own.
A prediction pool is only as good as its resolution: the audience needs to trust that the outcome gets decided correctly and the payout happens promptly. At any real scale, that can't be a person manually reviewing every pool — the volume doesn't work, and the audience shouldn't have to wait on a queue.
Our approach is to design the operational layer — settlement, fraud detection, dispute handling — as something that runs continuously and mostly without a person in the loop, with a human able to step in on the cases that genuinely need judgment rather than on every case by default.
This is a design commitment we're making early, before any of it is live, because retrofitting automation onto a system built around manual review is a much harder problem than building for it from the start.
It also shapes how we think about trust: an audience should be able to see that a pool resolved because a real outcome was checked, not because someone got around to it. Being able to show that clearly is part of the design goal, not an afterthought.
More on how this actually gets built as the pieces come together this spring.