Original Summary

We all know that distribution is the toughest and most important thing. Getting users and feedback to improve the product. While you are working on finding users, it is tough to stress test what you are building so that when the users show up, they actually find what you have built useful. I'm finding the AI Agent > browser control + credential approach to be quite useful in this regard. I build a "talk to sql" app ( https://app.verbagpt.com/ ), and I find myself running the same stock queries as unit tests, and my pattern of usage may be different than someone else - so I don't discover issues. Since I've implemented the process where I give my agent a quota (e.g. run up to 20 queries across these databases) - it goes off and tests the app, any new features, and comes back with concrete improvements that I can review and OK for implementation. And all the usage is tagged under my agent's own credential, so I can parse it from any other users. It closes the feedback loop, and has been a big accelerator for improvement for me in the past week. Thought I'd share!   submitted by   /u/VerbaGPT [link]   [comments]

  • 情报分类：商业与市场研究
  • 分类依据：内容涉及商业、投资或市场动态
  • 信息来源：Reddit · SaaS
  • 发布时间：2026/10/16 05:03:57