
Legion Command Papers
Agents are becoming infrastructure. The question is who governs them. These papers examine what changes structurally when AI moves from tool to operator in the environments national security cannot afford to get wrong, and what it takes to deploy, govern, and prove those systems under human authority.
Blogs Posts
10 minute read
https://legionintel.com/command-papers/
military-ai-beyond-the-kill-chain
The Kill Chain Is Not a Theory of Victory
Maven compressed the targeting cycle to machine speed. But a faster kill chain wins fights, not wars. The decisive advantage goes to the force that helps commanders turn data into meaning before the decision is made.
16 minute read
https://legionintel.com/command-papers/
earning-a-seat-on-the-staff
Earning a Seat on the Staff
The staff has absorbed new machines for 160 years, each by meeting its standards for coordinated work. What it takes for AI to earn a seat: the five requirements, the three architectural commitments, and how leaders should evaluat
12 minute read
https://legionintel.com/command-papers/
forward-deployed-engineering
The Forward Deployed Engineering Model Is Backward
Does a vendor's forward deployed engineering model build customer-owned capability or permanent dependency? In defense software, a growing FDE team often signals a product that never matured, not a strength.
7 minute read
https://legionintel.com/command-papers/
agentic-ai-tactical-edge
Disconnected Is the Baseline: Designing Agentic AI for the Tactical Edge
Most AI architectures treat connectivity as a background condition. At the tactical edge, the assumption fails first. Why disconnected-first design, narrow planners, and sustainment determine if agentic AI works.
11 minute read
https://legionintel.com/command-papers/
why-retrieval-agents-fail
Why Retrieval Agents Fail: It’s Not Just the Model
Retrieval-focused agents fail for reasons beyond model capability. Performance is bounded by three independent constraints: the model, the retrieval stack, and prompt guidance. Evaluation finds the real bottleneck.
10 minute read
https://legionintel.com/command-papers/
ai-agent-evaluation-building-an-evaluation-platform-that-scales
AI Agent Evaluation: Building an Evaluation Platform That Scales
Teams deploy agents faster than they can test them. A single prompt change can silently degrade three agents while improving one. Here's how immutable datasets, purpose-driven metrics, and vendor-agnostic design make agentic evaluation reproducible at scale.
12 minute read
https://legionintel.com/command-papers/
agentic-ai-security-architecture
Agentic AI Security is an Architectural Decision
Agentic AI security is an architectural property, not a feature you add after deployment. Governed workflows, strong typing, least-privilege access, and ephemeral agents address 20 OWASP vulnerabilities by design, validated at IL2 through IL6.








