Lagrange aims to do more than just 'prove'; it seeks to make proof the default. It categorizes tasks into three types: batch aggregation focusing on reducing unit cost curves, online verification aiming to compress end-to-end latency into a user-invisible corridor, and complex reasoning emphasizing stable input distribution and clear boundaries. The routing layer then uses a triad of signals—queue depth, end-to-end latency, and unit cost—to automatically switch between low-latency and low-cost paths, expanding parallelism under pressure and conserving energy during off-peak times. You can feel that this is more like a production line than a demonstration stage.
The field is never perfect; upstream delays and network congestion are the norm. Delay verification serves as a degradation track, separating 'on-time delivery' and 'completing proof' into two phases: the former prioritizes stable experience, while the latter updates status in the background, ensuring the audit trail is not lost and finality is not compromised. Before going live, it is essential to perform exception injection, verifying state consistency under data delays, network jitter, and computational hotspots one by one; after going live, stick to minimal change fixes, avoiding large switches during high-pressure periods.
I am more concerned whether the two curves are improving simultaneously: unit costs continuously declining and tail latency consistently narrowing. If this can be achieved, along with a quarterly reduction in degradation trigger frequency, it indicates that Lagrange has industrialized verification. The valuation anchor should shift from 'technical demonstration' to 'usability utility.' The risk lies in system selection and interoperability wear, while the solution is interface abstraction and multi-system parallelism—assigning high-frequency stable tasks to the optimal unit economic path and prioritizing sensitive domains for solutions that do not require trustworthy settings. If correctness is cheaper over time, the market will naturally assign weight to it.