Original Reddit post

(Disclosure: I built this) The concept: people confess their tech and AI sins anonymously to a rubber duck. The duck listens. The duck judges. Confessions go on a public Wall of Shame. The AI Sins category filled up fast:

  • “I apologized to AI when I was rude in a prompt”
  • “I used AI to win an argument with my partner”
  • “I ask AI for therapy instead of going to an actual therapist”
  • “I used AI to write my wedding toast”
  • “I don’t know whose ideas are mine anymore” How the judging works: When someone submits a confession, it gets routed through an LLM prompt that’s specifically tuned to respond as a disapproving rubber duck — dry, judgmental, but never mean. The tone calibration was the hardest part. Early versions were either too harsh or too encouraging, which killed the joke. The sweet spot was: the duck acknowledges the confession, adds one dry observation, and says nothing more. Silence is funnier than commentary. Confessions go through a moderation layer before hitting the Wall of Shame — filtering for anything genuinely harmful while keeping the edge that makes the category funny. The challenge is that “I ran rm -rf in production” looks alarming to a content filter trained on harm but is completely benign in context. Lots of tuning on the moderation prompt to handle developer humor correctly. The Wall of Shame is categorized (Deployment, Code Quality, AI Sins, Habits, Security, Teamwork, Testing) because I found during testing that uncategorized confessions create a chaotic feed that’s harder to engage with. Categories let people self-select into the content they find most relatable. Limitations:
  • The duck’s judgment is LLM-generated so it can be repetitive across similar confessions
  • Moderation still misses edge cases in niche developer humor
  • No way to verify confessions are real vs. people farming likes with fictional ones Stack: Next.js, Go, Claude for the judging layer. Demo: rubduck.ai/booth submitted by /u/curious_foodster

Originally posted by u/curious_foodster on r/ArtificialInteligence