𝗧𝗵𝗲 𝗻𝗲𝘅𝘁 𝗽𝘂𝗯𝗹𝗶𝗰-𝗵𝗲𝗮𝗹𝘁𝗵 𝘄𝗼𝗿𝗸𝗲𝗿 𝗺𝗮𝘆 𝘄𝗲𝗶𝗴𝗵 𝟰𝟬 𝗴𝗿𝗮𝗺𝘀. Tornyol is developing a tiny autonomous drone that can identify a mosquito through its acoustic signature, estimate its position using ultrasonic sonar, and intercept it in flight. The spectacular part is the chase, but the more important part is the precision. Most mosquito control treats an entire place because locating and targeting one insect is impractical. We spray rooms, cover large areas, and expose everything nearby because our intervention is broader than the problem. Tornyol is attempting to reverse that logic. Its system resembles a physical SPAR loop: it Senses a target, Plans an interception, Acts in the real world, and continuously updates from environmental feedback. This is where agentic AI becomes much more interesting. Once sensing and autonomous action become cheap enough, we can replace broad interventions with thousands of narrow, coordinated decisions. The future of automation may not belong to larger machines. It may belong to smaller agents making more precise decisions at enormous scale. Tornyol’s claims of ten drones covering a square kilometre at 100 times lower cost remain projections. The prototype still has to prove itself outside controlled demonstrations. Where else are we treating an entire environment simply because we cannot yet find and act on the individual target? #SPARFramework #AgenticAI #AutonomousRobotics #PublicHealthTechnology