I Built an AI That Analyzes Pet Behavior — Here's the Surprising Tech Behind It

So I shipped a project that most people told me was a dumb idea: an AI that listens to your pet and helps you understand what's going on with them emotionally and behaviorally. Spoiler: it turned out to be one of the most technically interesting things I've built. Here's what I learned — including a few things that surprised even me. The Problem Nobody Talks About Pet owners spend billions every year on vet visits for issues that turn out to be behavioral, not medical. Anxiety, stress, boredom — these masquerade as physical symptoms. The average vet appointment is 15 minutes. There's no time for a deep behavioral interview. I wanted to build something that could bridge that gap: a lightweight AI layer that helps owners understand their pet before (or instead of) that expensive trip. The Stack: Simpler Than You Think I see a lot of posts overengineering AI projects. Here's what actually powers this: # Core analysis pipeline from openai import OpenAI import json client = OpenAI () def an