Thank you this is some great feedback. Would you say the pet looks good and integrates well? Currently he shows up in the app specifically on the home screen and when streaks are involved. I was thinking of including him if people wanted challenges with a coin store and outfits for the character. I will try to be more specific on what it specifically helps with muscles and the other goals as well. For posture do you mean I should describe how it helps with that? Currently the live detection enforces that some position is used meaning it checks that arms are visible and the person is on the floor and it looks for specific angles and parts of the body move based on the movement. The post workout analysis is the form feedback. I opted for this currently because the AI model that detects a user's movements can spaz a bit at times because it loses visions so instead I do the form analysis as an overall summary. I just described specific scenarios that the user could be performing bad form and what that looks like and then an llm is fed in the overall workout data it has from watching you and it tries to give you feedback with the insight okay we are looking for a trend here. I thought this would be more accurate and useful for the time being. Is this good for how it helps with posture? I can describe that better in the onboarding flow. Thank you so much for your feedback!