How we think about building AI that works in the real world — not just the demo.
AI coding assistants are generating quantum-vulnerable cryptographic code at unprecedented scale, and federal PQC deadlines leave no room for manual audit. Here's what the evidence has to look like — and why it has to be signed.
NIST and the Department of War both want AI that can show its work. But audit-readiness is an architecture decision, not a compliance checkbox — and the systems that weren't designed for it can't be retrofitted into it.
We built a four-phase research pipeline to test whether a curated substrate could turn a 3B local model into a harness expert. What we found changed our fine-tuning plan.
The hybrid pipeline: graph-deterministic agents for speed, guided reasoning for depth. Zero API calls on the fast path. From $8–12 per run down to under sixty cents.
Fine-tuning a 3B model on military intelligence doctrine using QLoRA. Sixteen minutes of training, zero dollars of cost, running on an RTX 5070 laptop.
Most AI vendors assume you have internet. We assume you don't. Here's why that single design decision changes the entire architecture — and why it matters for government.