Start with the job the product must do.
A prototype makes an idea tangible. It helps a team discuss a flow, explore an interface, and test an assumption. Before taking it further, define the useful outcome: who is the product for, what are they trying to do, and how will you know the first release helps?
Make failure part of the design.
A production workflow needs a path for the moments when things do not go as expected. A service can be unavailable. A person can lose access. An integration can return incomplete information. Decide what users see, what the system records, and who can resolve the problem.
Understand the boundaries.
Map where information enters the system, who can access it, where it goes, and how it is changed. For AI features, include the model and tools in that map. A clear permission model and a deliberate review process are easier to build early than to reconstruct after the product has grown.
Connect the operational work.
Shipping software creates an ongoing responsibility. Teams need a way to deploy changes, observe errors, respond to support requests, and recover from incidents. These are product decisions as well as engineering decisions, because they affect the experience customers actually have.
Keep the first release focused.
Production readiness does not mean building every possible feature. It means choosing a useful scope and taking responsibility for that scope. Agree what the product does, what it does not yet do, and what the team will learn from putting it into use.
Build the next step into the plan.
A launch should create a feedback loop. Decide which signals will help the team choose the next iteration, and make room for that work. The value of getting to market sooner comes from what you can learn and improve once the product is there.