When Fakespot shut down in July 2025 I started building reviewai.pro — paste Amazon URL, get a BUY/SKIP/CAUTION verdict in 10 seconds. The most interesting engineering problem wasn't the data pipeline. It was getting GPT-4 to commit to a verdict instead of hedging. LLMs naturally want to say "mixed results, depends on use case." That's the technically correct answer but it's completely useless as a product output. Forcing a confident verdict without sacrificing accuracy took weeks of prompt iteration. Anyone else built products where the AI's tendency to hedge was the core UX problem? How did you solve it?
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