Abstract: Systems and techniques are disclosed for augmenting and/or automating aspects of vision examinations. In some implementations, context data is obtained from a plurality of data sources. A candidate command for adjusting a hardware component of optometric equipment is determined based on the current state of the vision examination. Prompt data for one or more trained machine learning models is generated based on the candidate command. The prompt data is provided to a hosting system associated with the one or more trained machine learning models. Model output data generated by the one or more trained machine learning models is obtained from the hosting system in response to providing the prompt data. The model output data is parsed based on the candidate command to generate one or more command-specific executable instructions for the hardware component. Output data representing the one or more command-specific executable instructions is provided for output.

Abstract: This invention discloses embodiments which disclose a handgun frame conversion and adapter system which provides for the conversion of use of a handgun frame from use with a first slide to use with a second and dissimilar slide (such as allowing a Glock® Gen 1, Gen 2 or Gen 3 slide to be used on a Gen 4 or Gen 5 Glock® compatible frame). Aspects of this frame conversion system include a conversion adapter which is installable and removable from the frame portion of the handgun, thereby allowing any one of a number of handgun slides to be mounted or installed on one frame.