PLAYERUNKNOWN Productions has released the first gameplay trailer for Prologue: Go Wayback!. Prologue: Go Wayback! is a single-player open-world survival game coming to Steam Early Access in Summer 2025.
Composed entirely of in-game footage, the trailer offers an extended look at Prologue’s core gameplay. Players will be able to explore a vast, ever-changing wilderness. The game aims to balance adventure and discovery with intricate survival systems such as caloric intake, body temperature regulation, and shelter discovery and maintenance.
Prologue: Go Wayback! aims to showcase PLAYERUNKNOWN Productions ML (machine learning)-powered terrain generation technology. It plans to offer a world where no two journeys are the same. Players start each session from nothing, forging their own path as they learn to navigate, adapt, and survive. Each run is defined by discovery and players can assess the landscape to find resources and ultimately, reach the Weather Tower.
Tech-wise, Prologue: Go Wayback! will be using Unreal Engine. As the devs have noted, the game will combine UE with custom machine-learning (ML) to generate maps and can generate millions of different maps with realistic terrain for players to explore. An evolution of this technology will be a highly specialized in-house game engine, ‘Melba’ which will be incorporated in the two games to follow Prologue, including a yet-to-be-announced title and project ‘Artemis’ — a massive sandbox world designed for emergent interactions, player creativity, and ultimate freedom.
Enjoy and stay tuned for more!
John is the founder and Editor in Chief at DSOGaming. He is a PC gaming fan and highly supports the modding and indie communities. Before creating DSOGaming, John worked on numerous gaming websites. While he is a die-hard PC gamer, his gaming roots can be found on consoles. John loved – and still does – the 16-bit consoles, and considers SNES to be one of the best consoles. Still, the PC platform won him over consoles. That was mainly due to 3DFX and its iconic dedicated 3D accelerator graphics card, Voodoo 2. John has also written a higher degree thesis on the “The Evolution of PC graphics cards.”
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