Switch AI models during a coding project when the task type changes enough that a different model is better for cost, speed, or reasoning quality. Do not switch just because a new model is available.
This matters because different project phases need different strengths. A high-reasoning model may be better for architecture and ambiguous requirements. A code-focused model may be better for implementation. A cheaper model may be enough for documentation, cleanup, or simple fixes.
Verdent supports multi-model workflows through built-in models and BYOK-enabled models. The practical approach is to keep the project plan stable, then route each phase to the model that fits the job. If the current phase is fragile, finish the step, review the diff, then switch models for the next phase. Model choice should follow the work, not interrupt it.
