Steer long AI runs by breaking them into smaller steps and checking results frequently

When using Claude Code or Opus 5.5 for long tasks, break the work into smaller, manageable chunks and check the output after each step. Use explicit prompts to guide the model at each stage, and verify intermediate results before continuing. This prevents the model from going off track and wasting time on a long run that produces unusable output.