This is really cool as far as the application goes, but I do have a question on how you plan to compete/differentiate, if at all. I fed the same image to one of the flagship LLMs and was able to generate, more or less, the same dapr scaffold. You might probably be able to fine tune towards dapr use case better, but if one of the flagship models that people already use is going to come close, then it becomes a hard sell.
I suppose it's also a general question about the many new AI applications in the market, because these flagship models are getting really good by the day, and seem to be eating up into each and every of those use cases.