I Failed Building with AI Until I Learned This Workflow

A developer who struggled to ship AI products has distilled his failures into a replicable framework that challenges the conventional wisdom dominating Silicon Valley's AI gold rush. Felix Pappe's workflow suggests that the bottleneck isn't the models themselves—it's how teams structure their work around them, a distinction that could reshape how companies allocate resources in the race to build with large language models. The approach arrives as venture capitalists pour billions into AI infrastructure while most startups still can't translate the hype into functioning products.

Data Science Collective·6d ago