I often share the same guidance with teams at both bld.ai and l2m.vc, so I thought it would be valuable to discuss it here as well.
In AI product development, speed is crucial. It’s more important than cost and quality. We want all three, but speed comes first.
Optimizing for cost hurts quality. Prioritizing quality wastes time. Focus on speed to save costs, reduce scope, and fix quality later.
Shipping broken products won’t work. Aim for “good enough” products that are useful and don’t need explanation. This forces you to cut unnecessary features.
After shipping, step back and evaluate. Check if people want your product, measure your ROI, and plan the next features. Then, release again with a working product people want.