Runtime invariant to rule count in a single-pass boundary execution model

[MKuykendall]

This probably went right over everyone’s head. What it actually means is cheaper inference compute and faster, cheaper processing of JSON (or any structured data).

Requests that would normally be fully parsed, tokenized, embedded, and sent to a model are often decided early and dropped… before any of that expensive work happens.

That’s fewer tokens generated, fewer CPU cycles burned, and fewer dollars spent at scale.

[MKuykendall]

This is a small experiment showing per-record runtime independent of the number of compiled obligations in a single-pass boundary execution model.

The demo focuses on behavior, not throughput tuning. Startup cost scales; runtime does not.

Details available under NDA. I’m reachable at: michaelallenkuykendall [at] gmail [dot] com

[refulgentis]

What’s a record, obligation, and boundary execution model?

[MKuykendall]

https://github.com/Michael-A-Kuykendall/dzero