Auto chooses the right model for each stage of work

Task Machine can now choose models automatically for each stage of a task, so you can assign the work once instead of maintaining provider-specific model choices as the task moves from planning through delivery. We built it because keeping a model choice current for every stage of every task was manual upkeep that fell behind.

Auto starts planning with an available high-capability model. While producing the Work Spec, that same model uses its concrete plan to rank models separately for implementation, review, verification, and follow-up. There is no second classification call or wait after planning.

Each stage keeps multiple eligible choices. When availability or budget conditions change during a run, Task Machine can use another ranked choice without replacing the stored route or changing earlier run records. Local and cloud workers follow the same route, while an explicit model selection remains a fixed override.

See what each stage cost

The task sidebar now breaks total agent cost down by execution stage. Planning and implementation spend stay visible alongside the existing token totals, so you can see where a task used its budget without opening each run individually.

Auto is now the default for new agent profiles. Choose a fixed model when the work requires one. Otherwise, Task Machine will match the model to each stage and keep the concrete selection in the run history.