Hey folks, I'm Yuval. I run a tiny startup called Glitter AI. It's just me full-time here, with a couple of freelances to help here and there.<p>A couple of months ago, I went from managing zero requests to hundreds -- overnight (won Product of the day on Product Hunt). As someone who gets VERY easily distracted (maybe you relate), I had to find some sort of way of handling all the chaos if I didn't want to burn out. I came up with a pretty cool automation flow that I thought folks on HN here may be interested in reading about :)<p>So here goes:<p>Most of my interactions come through Intercom. After the product hunt launch, I got waves of bug reports and feature requests. So I link every incoming message to a webhook. I do manually trigger this step through Intercom after replying to the customer (so there's context for the AI - more on that in a bit), but then everything from there on out is automatic.<p>Next, Make.com grabs the conversation details and runs them through prompts that guide OpenAI to "act like a savvy product manager." The task is to act like a customer-support-rep-meets-PM: parse and summarize conversations into actionable points—be it a bug report, feature request, or feedback (I'll include a link to a post with the full prompt below).<p>But summarizing wasn’t enough. I needed this flow to live somewhere, and to categorize everything.<p>I chose Notion, but it could have just as easily been Airtable or the likes (or Excel, honestly). I call the space in Notion my "Second Brain."<p>Once in Notion, every request is linked back to its original Intercom conversation, which helps me quickly see patterns like repeated feature requests or pesky recurring bugs. It’s like having a high-level map of what users need.<p>Then in Notion I do manually quickly go through the summary and tags to ensure everything is in place. I then attach those clean summaries to existing pages using a variation of the RICE framework to prioritize my action items.<p>Every page counts the number of requests linking to it, so I can keep track of recurring bug reports / feature requests / product feedback etc and prioritize accordingly.<p>I can't include screenshots here, so I'm linking to my original post. It's mostly the same content as here, but with the prompt and a bit more detail, if you're interested:
<a href="https://www.glitter.io/blog/how-i-use-ai-and-automation-to-run-glitter-ai" rel="nofollow">https://www.glitter.io/blog/how-i-use-ai-and-automation-to-r...</a>