The first armed drone Ukraine ever fielded wasn't built in a factory or procured from a defense contractor. It was built in four months by a network engineer using a Starlink terminal and a large agricultural quadcopter frame, and the man who built it, Maj Phoenix, co-founder of Lasars Group, joins Craig Smith in Kyiv to explain exactly how it happened and what the battlefield looks like now. The conversation traces the full arc from that first prototype - with its two-person crew of pilot and navigator, operating beyond line of sight using satellite imagery and landmarks - to the layered drone architecture Lasars Group now operates: FPV drones on fiber optic covering 30 kilometers, heavy bombers reaching 65 kilometers, ISR planes surveilling the entire range, and interceptors protecting each crew position. The most unexpected part of this conversation is what drone technology has done to the physical shape of the war. As drone range has expanded - from rifles at 400 meters to FPV at 10 kilometers to heavy bombers at 65 kilometers - the kill zone between the two armies has grown to match, pushing human soldiers further apart and turning the conflict increasingly into drones fighting drones rather than people fighting people. Phoenix frames this explicitly as a reduction in human casualties. The episode also reveals a genuinely surprising institutional innovation: Ukraine's "Army of Drones Bonus" system, a gamified procurement platform where units earn virtual points for destroyed targets and spend them on a drone marketplace, creating competition among manufacturers to build cheaper, more effective systems and directing the best equipment to the highest-performing units. Craig also asks directly about the psychological reality of FPV warfare, following a specific soldier through a camera, watching him try to hide, and killing him, and Phoenix answers with a moral clarity that is both philosophically coherent and quietly unsettling. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

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