Failure is usually treated as something to reduce, smooth out, or remove. But there’s a specific kind of failure that does the opposite. It keeps players engaged, focused, and willing to push further. This is what I call generative resilience. It occurs when failure is produced by a system that behaves consistently, where outcomes emerge from the player’s own decisions rather than from arbitrary punishment or scripted outcomes....
AI is at its best when it’s doing work, not thinking. Bulk tasks, renaming assets, cleaning data, writing quick editor scripts, handling batch operations, setting up repetitive structures. That’s where it delivers real value. It removes friction from production so you can focus on the part that actually matters: designing the game. Used properly, it accelerates output without interfering with intent. The problem is that most teams aren’t using it this way. They’re pushing it into areas it doesn’t belong, expecting it to generate ideas, content, and even systems. That’s not acceleration. That’s substitution. And the moment you substitute design thinking with generation, you lose something fundamental...
