Jan 14
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I thought GPT-5 Pro would crush the cheaper models. 15 minutes vs 15 seconds to generate a PRD—there had to be a difference. Then I built the same app 9 times and discovered something I wasn't expecting at all. This video documents an experiment: take one intent document, feed it to 8 different AI models (GPT-5.2 Instant through GPT-5.2 Pro, Claude Opus 4.5, Sonnet, and more), generate a PRD from each, then build every PRD using the exact same system—Claude Code with Opus 4.5 in planning mode. The hypothesis was obvious: smarter model = better PRD = better app. The results broke that assumption completely—and led to a much more useful discovery about where requirements actually get lost in AI-assisted development. If you're building applications with AI tools and wondering whether you should pay for premium models to write your specs, this will save you time and money. Engineers evaluating AI coding workflows, developers curious about Claude Code's planning mode, and anyone who's ever wondered "does the PRD actually matter?" will find something useful here. Whether you're just starting with AI-assisted development or you've shipped dozens of AI-built projects, the finding about intent preservation applies to your workflow. #ClaudeCode #GPT5 #AICoding #PRD #AIAgents 00:00 - Intro 00:54 - The first experiment 02:45 - First build results 06:25 - Initial scores 08:46 - But. now what 09:44 - So, wait, what? 12:37 - Build the perfect PRD 13:56 - Even perfect PRD is not good enough 15:06 - After forcing a better plan 16:48 - Conclusion