How does the mechanical implementation of hidden roles in Blood Rage compare to Codenames Undercover when playing with exactly six participants?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How does the mechanical implementation of hidden roles in Blood Rage compare to Codenames Undercover when playing with exactly six participants?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
"Blood Rage" board game hidden roles six players mechanics Google ↗
"Codenames Undercover" game hidden roles six participants mechanics Google ↗
- Blood Rage | Board Game · boardgamegeek.com
- Dized Rules | Blood Rage · rules.dized.com
- How to Play Blood Rage · boardgamearchive.com
- <visual_element id="e1"> · orderofgamers.com
- GAME PLAY Teams take turns. The starting team is · upload.snakesandlattes.com
- GAME REVIEW: Codenames · tabletoptherapy.org
Queries
2 queries · click a column to sort