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I personally like the idea but let me raise some questions and concerns that I didn’t do during the meeting not to go in details.\n\nDo we have any analytics results to get some insight to validate this is useful? I know it’s not going to be black and white, I think it’s better to get some insight beforehand. For instance, if majority of our users don’t care about the notes, I am not sure if it provides any value.\n\nPossible questions here can be if we can answer: \n- How many of our users enabled “Always autofill note based on memories”? \n- What is the median time between time entry open and time entry created (assuming this difference would be the time that a user writes the notes).\n\nFrom the technical perspective, we can do this by calling API for generative LLM models. But there are some questions to be asked in advance: \n- probably there’ll be some latency (of course we need to test it to know how much). Because we don’t know in advance which memories are in the time entries (e.g. when users add memories one by one, when users add or remove memories from AI drafts).
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