How to Make Enemy AI Patrol, Aggro, and Reset in Dreams
Автор: Easy Dreams Cult
Загружено: 2026-02-01
Просмотров: 156
Описание:
In this tutorial, Jimmy Cultist breaks down a complete enemy AI system built in Dreams that allows an NPC to patrol along a recorded path, detect and chase the player, lose line of sight, and intelligently return to its original patrol route. This walkthrough focuses on practical logic setups rather than abstract theory, showing how selectors, laser scopes, followers, timelines, and trigger zones can be combined to create believable AI behavior without relying on complex pathfinding systems.
The video starts with a simple concealment or “safe zone” mechanic that removes the player from the enemy’s detection when hidden, then moves into enemy vision logic using laser scopes and tag detection. From there, Jimmy Cultist demonstrates how to interrupt a looping patrol path when the player is detected, switch the enemy into chase mode, and cleanly transition back into patrol once the chase ends or line of sight is broken.
A major focus of the tutorial is return behavior—how to get an enemy back to its patrol path even when it has been lured far away or into another room. Using return tags, collision-aware movement, laser-based wall avoidance, and timed logic gates, the enemy is able to navigate around obstacles and re-enter its original route reliably. This approach avoids grid-based navigation and instead relies on responsive movement logic that works well in tight spaces and custom level layouts.
This setup is ideal for stealth games, horror enemies, guards, or any NPC that needs believable patrol, pursuit, and recovery behavior. Everything shown is modular, tweakable, and built using standard Dreams gadgets, making it easy to adapt for your own projects.
If you’re experimenting with enemy AI, patrol paths, stealth mechanics, or advanced logic in Dreams, this video should give you a solid foundation and a few useful tricks to expand on.
Intro Music:
Made in Dreams by ElDavisimo, check out more of his work in Dreams PS4/PS5.
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