I am truly proud of this study—not only for its results, but for the direction it points to. With this work, we show that computer vision–derived spatial metrics of suturing can be meaningfully linked to real mechanical performance (burst pressure). Spatial features alone are not yet sufficient as standalone predictors of suture quality—but that is not the main message. The real takeaway is that precision can be quantified, compared, and ultimately automated. This, in my view, is the real turning point for robotic surgery—including laparoscopic robotics. The future is not about vaguely claiming “greater precision.” The real breakthrough will come when the robot itself is able to plan and execute optimal trajectories autonomously, completing a suture in true task autonomy. Crucially, this autonomy must be human-in-the-loop: the robot operates autonomously, but always under human supervision and control, with the surgeon retaining authority, responsibility, and the ability to intervene at any time. This is not about replacing the surgeon—it is about augmenting human skill with measurable, reproducible precision. This is the approach robotic surgery advocates should take to demonstrate real value in the operating room: •quantitative metrics, •verifiable automation, •objectively demonstrable technical benefits, rather than generic statements about precision. At MITIC-Lab, we believe this circle can close very soon. Within the year, at least in the laboratory setting, we expect to see genuine integration of automated routines into robotic surgical gestures. At that point, the benefit of robotic technology will no longer be a matter of opinion. It will be evidence-based. Research on surgical automation is now becoming truly exciting, concrete, and useful. And this is only the beginning.