An AI-native learning platform built to the brief: cited courses, a doctrine tutor, adaptive study plans, and mastery you can prove. Every AI claim traces to the manual, is verified on-device, or is refused. The instructor ratifies everything — and the whole loop runs offline on a Jetson.
An instructor reviews and approves every AI-generated assessment before a Marine ever sees it.
Human input only, by design. The AI never touches proctoring or proctor-code creation.
Authoritative training content stays instructor-owned. The AI drafts around it; it never overwrites it.
The chief instructor's wishlist, mapped to what the platform does today. Shipped pieces are standalone, open-source, and tested; the rest are in build for the event.
Students get a clean path to mastery. Instructors stay in command of the course — the AI only ever hands them a draft.
Generated from real doctrine (TC 3-22.9, NAVMC 3500.44E, MCWP 5-10) and left pending instructor review.
Course, tutor, rubric, quiz — all of it runs the same four steps. That's why the guarantee holds everywhere.
Retrieve and re-rank the exact passages from the indexed corpus for the task at hand.
Answer only from those passages, with a citation — or abstain when they don't support one.
An on-device HHEM check scores faithfulness before anything is shown. Low score, no show.
The instructor approves, edits, or rejects. Nothing unreviewed reaches a Marine.
Each is a real library you can use on its own; together they are the platform. All eleven are public, Apache-2.0, and tested — including the study-plan and after-action gap-fills.
The whole delivery loop runs on a Jetson Orin with the network pulled — built for the schoolhouse and the field. Every model call sits behind a single adapter, so if the compute at the event turns out to be something else, or shows up late, we change one file — not the app. There's a local path that works regardless of what allocation lands.
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