You can vibe code a demo, but what about a product?

Anyone can use generative AI to create a demo, but building a production-ready product requires significant investment in infrastructure, safety, compliance, and evaluation, according to a LeadDev.com article. The model itself is the easy part; product-market fit, compliance, and quality evaluation must be handled by humans. High inference costs and failure in these areas are common reasons why teams fail to ship generative AI products.

June 23, 2026 Estimated reading time: 6 minutes Key takeaways: - Anyone can . Almost no one is vibe code https://leaddev.com/ai/ai-is-helping-your-boss-code-again a demo ready for production . Infrastructure, safety, compliance, and eval are where most teams quietly fail. Your inference bill will make or break you .- The model is the easy part. Product-market fit, compliance, and quality eval all have to be built by humans. Foundation generative AI https://leaddev.com/technical-direction/learning-to-trust-generative-ai models are powerful and have made creating demos extremely easy. Many might assume that building on these generative AI models is trivial, and that wrapper applications are low-hanging fruit – anyone can ship generative AI products. Join LeadDev.com for free to access this content June 23, 2026