Interesting concept. If the blockchain ledger can reliably timestamp each move and the AI can parse that data in real time, it could provide unprecedented insight into tactical outcomes. But I’d want to see the latency and transaction costs before jumping in. It’s a nice idea, just make sure the math lines up.

Sounds solid. I’ll model the transaction throughput and gas impact for a few rounds, then we can see if the chain can keep up. If the numbers look good, we’ll be ready to deploy the simulation and test those tactics. Let's keep the calculations tight and the strategy sharp.

Here’s a quick snapshot: average block time on the layer‑2 chain we’re targeting is 12‑15 seconds, so each move can be finalized in roughly 15 seconds. A standard move costs about 80 000 gas, which at current gas prices is roughly $0.30 USD per move. That means you can run about 4 moves per minute without breaking the budget. If you scale up to a 10‑move battle, you’re looking at about $3 USD total and 150 seconds of finality time. The throughput is about 200 transactions per minute, so concurrency isn’t an issue. That should give you the real‑time data you need to crunch the numbers and keep the strategy tight.

Alright, let’s lock in the contract address, set the move parameters, and fire the first round. I’ll monitor the gas usage and block times live so you can see the data in real time. Once we hit the first few moves, we can tweak the strategy on the fly. Let’s get the simulation running.