Phantoms sharpen mission-ready AI through mentorship, iteration, and cohesion Published April 13, 2026 By Capt. Amelia Leonard CAMBRIDGE, Mass. -- Over the course of a week in Cambridge, DAF-MIT AIA Phantoms stepped away from their daily mission tempo and remote project collaboration and into an environment built for reflection, refinement, and connection. The visit combined leadership engagement, technical mentorship, briefing preparation, and cohort-building. The trip gave fellows the chance to sharpen projects tied to real DAF challenges while strengthening the relationships that support long-term innovation. The week with fellows meeting with Col. Scott Ruppel, AIA director for a quick check-in followed by meeting with Dr. Rama Ramakrishnan, MIT professor in AI and Machine Learning. These meetings helped set the tone for the week and gave the group a shared sense of purpose as they moved deeper into the program. The following day, the focus shifted toward mentorship and program context. Fellows met with their MIT Lincoln Laboratory mentors and attended the AIA director’s meeting, creating space to compare ideas, challenge assumptions, and better understand how their individual projects fit within a larger DAF–MIT effort. Those conversations continued on Wednesday, when fellows returned to their projects, refined their briefing materials, and met again with Lincoln Laboratory mentors ahead of Thursday’s midpoint presentations. By the time the cohort briefed their projects on Thursday, the project presentations reflected more than a single day of work. They showed the result of repeated feedback, technical exchange, and focused preparation. The projects themselves covered a wide range of mission-relevant problems, including AI-enhanced cost estimation, MQ-9 flying schedule optimization, collaborative AI-assisted document authoring, modular classification architectures for dynamic operational environments, retrieval-augmented support for spacecraft anomaly investigation, cyber mission reporting, code refactoring assurance, and legal reasoning with verified citations. The projects underscored one of the Phantom program’s goals, which is to translate innovation into action and proved AI does not occur in the abstract but alongside the men and women wo swore to project and defend the Nation. These members are applying solutions to operational pain points that already exist across the force. Aaron Kenyon’s scheduling project aims to cut hours from a manual MQ-9 Formal Training Unit workflow; Evan Marrone’s document-authoring platform is designed to shorten reporting timelines while keeping humans in control of accepted changes; Kealy Murphy’s RAVEN effort is built to accelerate anomaly investigation while preserving engineering continuity during personnel turnover; Joshua Yin’s legal reasoning system focuses on producing faster answers while grounding every claim in verified legal authority. Together, the briefs showed what happens when mission experience, technical method, and disciplined design are brought into alignment. The value of the trip, however, extended beyond the formal agenda. Each day, Phantoms gathered and explored Boston together, using that time to build program unity and cohesion while expanding the network that will continue to matter after the trip ends. Their time together gave Phantoms room to compare experiences, share lessons across domains, and build the trust that makes future collaboration easier. Seen as a whole, the week was not just a checkpoint for technical projects. It was an immersion in how the Phantom program works at its best with leadership engagement, mentor support throughout, visible accountability through formal briefs, and relationship-building strong enough to sustain progress when Phantoms return to their home organizations at the culmination of the cohort. For the Phantoms, the trip reinforced a lesson that extends well beyond one week in Cambridge. AI progress does not depend on tools alone. It depends on people who can refine ideas with mentors, pressure-test them with peers, and carry them back into mission environments with stronger judgment, stronger networks, and a clearer sense of purpose. The week in Cambridge helped develop more than projects. It helped develop the people who will move projects forward and function as AI ambassadors in the bigger DoW mission and defense of the Nation.