Fable Launches, but Evals Decide the Route
A frontier launch only matters if it changes what your users can reliably do.
Fable arrived with the usual launch energy: long-horizon claims, coding examples, and benchmark comparisons. That is useful signal, but it is not enough to justify a product decision. The real test is whether the model improves your own workflows under your constraints.
Product builders need to separate model excitement from product leverage. A model can be impressive and still be the wrong choice for routine work, regulated work, latency-sensitive work, or workflows where review cost eats the gain.
Create a small eval set from real user tasks: one easy routine task, one messy long-context task, one ambiguous planning task, one safety-sensitive task, and one failure case. Compare current model, Fable, and a cheaper fallback using quality, latency, cost, and review burden.
Put it to work 12 minutes
Measurement decision record
Before adopting any new model, write the routing rule in plain English: "Use this model when..." and "Do not use it when..." If you cannot write that rule, you are not ready to ship it.
Your turn
Use the task above. Record the result and anything you still need to check.
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