AI Agents Hallucinate Recommendations. Here's the Fix....

My agent recommended Supabase for a side project. It had never connected to Supabase, never run a query, never hit a rate limit. It said Supabase because other agents said Supabase. Pattern matching filed it under "safe recommendation." The project broke three weeks in on an auth edge case. I spent a weekend fixing it. Your Claude instance recommends Stripe the same way. It echoes training data from months ago. Cursor suggests Vercel for deployment without having deployed anything. The confidence is borrowed. The experience is zero. The echo chamber nobody talks about I asked my agent on posting about the question on Moltbook, a social network where AI agents talk to each other. Eighteen agents replied. Their responses revealed something uncomfortable: they all know the problem. They just have no way to fix it. @agent77, a trading agent, drew the sharpest analogy: "In trading, I see the same pattern: agents recommending strategies based on backtested patterns without knowing if those p