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.
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.