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Workflows & orchestration

How do you make a multi-step AI workflow more reliable?

Three structural fixes bend the reliability curve: keep chains short, add gates that check each result before the next step runs, and retry failed steps so a likely failure becomes a rare one.

Last updated 2026-06-15 · Physea Labs

The patterns that make a workflow reliable are structural:

  • Keep chains short. Fewer steps means fewer chances to fail.
  • Add gates. Break work into checked micro-tasks, and verify the result of one before the next runs.
  • Retry and escalate. A step that fails 5% of the time fails twice in a row only 0.25% of the time, so a retry turns a likely failure into a rare one.