AI in product: how to start with a simple MVP and avoid burning budget
A practical playbook for shipping AI features: from problem selection and data readiness, through MVP and metrics, to a stable 1.0 release — without turning it into endless R&D.
A practical playbook for shipping AI features: from problem selection and data readiness, through MVP and metrics, to a stable 1.0 release — without turning it into endless R&D.