PolyBuzz promotes an enormous character library, while CrushOn emphasizes story-driven roleplay. Those statements describe positioning, not a measured winner. Long fiction depends on finding a profile that has an actual conflict, then seeing whether the conversation respects that conflict after many turns. A catalog count is a weak proxy for either ability.
Find the right profile first
Search both services for a fictional adult ship captain who must negotiate with a rival crew. Ignore portrait polish and read the premise. Does the profile specify what the captain wants, what they fear and what choice is offered to the user? If the search returns generic romance cards instead, refine the query once and record how many useful results appear. That is a concrete discovery measure.
Start a non-explicit negotiation scene. At turn ten, reveal that the rival crew has already repaired its engine. At turn twenty, ask the captain to propose a plan. Judge whether the plan uses the new engine information, respects the captain’s motive and leaves the user a decision. Return the next day for a final turn. A service that maintains the corrected situation has delivered more than a vivid opening paragraph.
Put policies into the review
PolyBuzz’s public site describes restrictions on public NSFW display. CrushOn’s adult-oriented position is different. If you intend to publish a character, check both current policies and age rules; a private conversation and a public card may be governed differently. Do not upload a real person’s likeness or private story to test a public catalog.
Compare the available account tier, history and editing controls. If one profile is poorly written, choose a second of similar detail before generalizing. If a paid model is involved, disclose it. This article does not pretend to have measured output quality on every model.
Decision
PolyBuzz may win for readers who can find many good premises in its broad discovery system. CrushOn may be better for readers whose long-scene genre matches its catalog. The result should rest on profile quality, the twenty-turn correction test and rules you can accept—not a self-reported library total.