Rachel Chan

I'm not a solo dev so my approach might be a bit different. From my personal working experience, having a dashboard is the key for organizing product and project management tasks. I use it to prioritize tasks and link them directly to specific projects. I also create detailed product requirements documents that cover everything from the background (why we need news product or changes or new...

Can’t believe i missed this genius idea😂

I believe a product doesnt need to be completely bug-free at launch, but it should be stable enough to provide a smooth experience for its primary use cases and key functions. Launching early (maybe as a beta version) allows us to gather real-world issues that we might not detect in test env and iterate rapidly to improve the overall product

The first two benefits that come to mind are time and labor saving. Based on my personal experience, making cold calls is time-consuming and mentally exhausting... So if AI can do that for me (while ensuring good quality of course) that would be a 100% great thing for me😂

It sounds great, but I have a few amateur questions about this idea. Will AI agents introduce themselves as AI at the start of the interview? If so, will interviewees might behave or respond differently to a non-human interviewer compared to a human one? For example, they might not take the questions as seriously or provide more casual responses.

Great share! I’ve also noticed that, although most people around me prefer Claude or other AI-generated products, I’m just more used to ChatGPT and can’t quit it, never really asked myself why😂. Never thought about the differences in prompts.