Pipeline Diagnostician with Meta Glasses (updated on Oct 25, 2023) With the launch of ChatGPT-4V and Meta smart glasses , we've managed to integrate CRESt to visualize the lab earlier than anticipated, with the demonstration video available on YouTube. By the time the demo was concluded, Meta smart glasses were closedsource, and OpenAI had yet to unveil official support for image uploads via its API. Consequently, we resorted to incorporating numerous clunky automation code snippets to ensure the workflow's functionality, much of which we anticipate will become redundant soon. Figure is a breakdown of the primary workflow: The users will be wearing Meta Wayfarer smart glasses, paired with a physical Android phone (as the Windows Subsystem for Android doesn't support Bluetooth connectivity and therefore can't be employed). Upon verbal command "Hey Meta, take a picture", the glasses capture an image, storing it locally. An additional step is required to transfer the image from the glasses to the Android phone, achieved through a WIFI hotspot connection originating from the glasses. This extra step is automated by mirroring the Android screen on a PC (via scrcpy ) and simulating gestures (via PyAutoGUI 20 ). Following this, the ADB tool is utilized to retrieve the image from the Android device to the PC. An automated web script, powered by gpt4-image-api , subsequently uploads the image to the ChatGPT website, auto-fetching a text response from ChatGPT-4V, which is then channeled to the CRESt platform for the final answer.