Commercial Product: Zero Overshoot is proprietary technology. Patent applications are in preparation. Commercial use requires a license.
Zero Overshoot (GSRF) is a deterministic safety filter for recursive and feedback-driven systems. I designed it to enforce bounded update dynamics and prevent runaway amplification in systems where outputs feed back into inputs.
The framework operates on mathematical foundations: stability bounds are derived analytically and are designed to provide deterministic constraints within a defined envelope, bounded-by-construction under stated assumptions. This distinguishes it from probabilistic monitoring systems that provide statistical guarantees on average.
Zero Overshoot is not a plug-and-play library. It requires system-specific analysis to configure stability bounds and integration points. There is no generic "install and run" implementation.
Zero Overshoot is not a SaaS product. It is deployed through tailored engineering work, not a hosted service.
Zero Overshoot is not probabilistic or heuristic-based. The boundedness criteria it is designed to provide are deterministic. If probabilistic monitoring is sufficient for your application, Zero Overshoot may be more rigorous than necessary.
Zero Overshoot acts as a pre-decision constraint layer. It sits between the system's decision-making or optimization logic and the actuators or outputs that affect system state. When a proposed update is generated, Zero Overshoot evaluates it against stability bounds before it is committed.
This is different from post-execution monitoring: Zero Overshoot prevents unstable updates from being applied, rather than detecting and responding to instability after it occurs.
Zero Overshoot is designed to enforce bounded behaviour within a defined envelope under stated assumptions. When correctly configured, it can provide deterministic boundedness criteria relative to declared system constraints and update limits.
The boundedness criteria hold for the specific system configuration and bounds that were established during integration. They are not universal guarantees for arbitrary systems or configurations.
Deterministic boundedness criteria require deterministic assumptions. If your system operates under conditions that violate the stated assumptions—for example, if feedback pathways change dynamically in ways not accounted for in the configuration—the boundedness criteria may not hold.
For manufacturing, aerospace, and other safety-critical teams, the lowest-friction starting point is usually a narrow supervisory deployment rather than immediate full-loop authority.
Evaluation should focus on a small set of metrics that make the cost-of-safety trade-off inspectable:
For teams evaluating runaway feedback risk in an existing system. Includes review of signal → actuator loop, identification of instability / overshoot points, and written assessment and recommendation.
For teams ready to deploy Zero Overshoot in a real system. Includes reference implementation guidance, parameter selection + constraints, and validation and testing support.
For organisations embedding Zero Overshoot in a product or platform. Includes deterministic filter logic, patent-pending system, and commercial license required for production use.
If you're evaluating Zero Overshoot for a production system, email info@boonmind.io with:
I'll respond with relevant documentation, integration guidance, and licensing information tailored to your system.