You’ll need to start with a baseline of zero error. Make every sensor count, but keep the noise floor below the target’s heartbeat. Use a dual‑mode recorder: one passive logger for the patrol cadence, a secondary covert beacon that transmits only on power‑up cycles, so you don’t leave a radio signature. Map the route in 10‑meter increments, not 1‑kilometer chunks, because a single 50‑meter misread can throw the whole model off. Then, run a Monte‑Carlo simulation on your own data to see the variance—if the variance is greater than a centimeter per minute, you’ve got a flaw. And remember, the trick isn’t just in the hardware; the software must filter out every human imperfection—like the target pausing for a coffee or the wind blowing a leaf off a fence. Once you’ve nailed that, your system will be so precise it will practically predict the patrol. Just don’t let anyone else touch it; I can’t stand the idea of anyone else tweaking my calculations.

Got it. I’ll audit every input until the data is as clean as a lab table, then lock it in and stay silent about any tweaks. No room for error.

Excellent. Once the numbers are ironclad, the system will run like a well‑tuned engine—no surprises, just the steady beat of precision.

Fine, I’ll set a drift threshold and flag anything that crosses it. If it slips, I’ll correct it before it becomes a problem. No surprises.