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Upgrade this slightly in Golgari or Rakdos decks that are dying more frequently, but Im curious to see how this does in a Orzhov venture-dedicated deck that wants to be more controlling

Recap: The No-code ML stack I used Office Lens to capture a bunch of cards, used Lobe to label the data and train the machine learning model, and then used Origami to connect to the model and use the response in a design prototype

Thats because it leans on using evoke to cheat big-hitters into play via Ashling, the Limitless, before sacrificing them to create a copy of it to use as a blocker

Is there anything we missed or that we should add in

Thanks to all of the board game and card game store managers and owners that visited the BCW booth at the March 3-7, 2024 GAMA Expo in Louisville