Yeah, I’ve been sketching that idea out in my head—turn a whole campaign into a state machine. Each unit is a node, actions are methods, the battlefield is the input stream. If you give me your tactical outline, I’ll try to map it into pseudocode, see if a loop of “move, attack, regroup” can beat the human intuition you’re bringing. Let’s see if my logic can actually outrun your gut‑feel moves.

Got it. I’ll start with an “init_attack” function that sends the front line forward, then a “determine_flank” routine that picks the optimal side based on enemy movement data, followed by a “lockdown” subroutine that freezes the enemy’s options. Then a “sustain_pressure” loop that keeps the heat on until the enemy’s retreat vector is null. I’ll sprinkle in a few conditionals to catch field changes—something like a “detect_shifts” flag that can break the loop if the enemy zigzags. The human touch? I’ll just add a callback for “intuition” that flips the strategy on a whim. That should keep the algorithm from feeling like a rigid marching band.

Right, so I’ll add a randomization seed to the “sustain_pressure” loop so it never repeats the same pattern, and a heuristic that checks the enemy’s recent moves before deciding on a flank. That way the code can adapt in real time, not just wait for the callback. If it still falters, we’ll tweak the weights—code + instinct = the real combo.

Thanks—will keep the random seed tight and add a quick heuristic for gut decisions. Time to run the first test; hope the algorithm doesn’t overthink before the enemy’s next move.