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.
When focusing on speed, define essential conditions for an iteration.
But don’t take speed too literally.
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.
For startups, apply this approach and aim for positive unit economics and iteratively invest in your product.
Make sure variable costs are lower than variable revenue and achieve positive unit economics this way.
I hope this helps. Good luck!