Original Summary

Onboarding is where most SaaS products lose people. For the past few months I’ve been building an AI layer for the SaaS I work on, so users can describe their history or drop in photos instead of filling out forms. Here’s what I learned. 1. Fewer flows beat more features I merged three separate flows into one experience and deleted over 20k lines of code. Less to maintain, and users only learn it once. 2. Speed is an activation metric The first reply used to take 2m18s. Showing replies instantly and running searches in the background cut it to about 48s. Two minutes of silence is where people leave. 3. The most expensive model isn’t the best one The app was silently running a premium model and one reply took 105s. A faster, cheaper model fixed most of it. Check your AI cost per user. 4. Never let AI touch customer data without approval The AI once saved 9 entries to someone’s profile without review. Now it only creates drafts, and saving is always a button the user clicks. 5. Your AI will claim it did things it didn’t It would say “added that” when nothing was added. Now the server checks every reply against what actually happened. Biggest takeaway Let AI remove effort, not control. Question for founders: Where do you draw the line between what your AI does automatically and what needs user approval?   submitted by   /u/Yz31LL [link]   [comments]

  • 情报分类：开源项目与落地
  • 分类依据：内容涉及项目实践、创业、副业或变现
  • 信息来源：Reddit · SaaS
  • 发布时间：2026/10/12 11:14:38