Starzl Operator Training
A multi-day course on nine skills that still matter after the next software update.
Tools change faster than people
Units still need people who can work AI, cyber, and OSINT problems after the current toolkit is replaced.
We run that under authorized conditions, with an after-action review the unit can keep.
Bootcamp, range, and targeted red teams
Starzl Operator Training is a multi-day intensive. It covers nine skills through bootcamps, a simulation range, and targeted red-team work.
The course includes mission decomposition, context engineering, tool-interface design, and red-teaming. Each engagement is sized to the unit and the problem it actually has.
- Non-perishable skills that can be used with any tool, anytime
- 5-day or 3-day formats
- Full days, morning and afternoon
- Delivered to: USMA, 780th MI BDE, DCDC, and others
- AI-enabled simulation and interactive learning range
- Cohort-led mission execution against representative scenarios
- Bounded adversary emulation
- Operator-led after-action review
- Focused red-team work against defined AI, cyber, and OSINT surfaces
- Scoped to a question the program needs answered
- Clear deliverable
Specs
| Capability | Detail |
|---|---|
| Format | 5-day / 3-day intensive |
| Cadence | Immersive, AM/PM |
| Curriculum | Nine non-perishable skills |
| Delivered To | USMA, 780th, DCDC, and others |
| Simulation Range | Campus Martius — AI-enabled, cohort-led |
Nine skills
Mission decomposition, context engineering, tool-interface design, red-teaming, and related operator work. The full nine-skill list is scoped at the briefing.
How a course runs
Assess the team, train, run an exercise on the range, then review.
Baseline the team against the AI, cyber, or OSINT problem they actually have, and against the products in play.
Build the skills hands-on, under instruction, against authorized targets.
Run a cohort mission on the Campus Martius range.
Operator-led after-action review: what worked, what to harden, what to train next.
Related work
RF processing, GPS-free navigation, and adversarial AI.
Compresses IQ, classifies emitters, and sends the result over a constrained link.
Starzl EW →Position and timing from ambient RF. No GPS, no transmissions. Same feed maps nearby emitters.
Starzl PNT →The same listen-only feed catalogs transmitters: who they are, where they sit, and how they move.
Starzl PNT →Red-team tools for models and networks. The same stack is used on infrastructure defense.
Starzl Adversarial AI →