Ship on every model. Commit to none.

Swap the model under a feature without touching client code, renegotiating a contract, or shipping a release.

Adaptive routing picks the model per prompt, so a better one landing next month needs no migration.
Prompt versions move behind labels — experiment and roll back without waiting on a deploy train.
The Playground runs the real gateway, so what you validate is what you ship.

Pick a model later.

The hardest part of shipping an AI feature is committing to a model before you know what the traffic looks like. Route through one endpoint and that decision stays reversible — every week, without a release.

Iterate on the prompt, not the pipeline.

Version prompts behind labels, A/B them, roll back in one move. Try the whole thing in the Playground first — it runs the real gateway, so what you validate is what you ship.