Multi-Step Reasoning Workflows
Some tasks are too complex for a single model response. Planning, research synthesis, document analysis, and tool-using agents often perform better when the system moves through clear intermediate steps rather than trying to do everything at once.
Why Stepwise Workflows Help
- They reduce cognitive overload in one prompt
- They make failures easier to inspect
- They allow different models or tools to handle different stages
- They create natural checkpoints for validation
Example Pattern
A system might first classify a request, then retrieve evidence, then draft an answer, then run a verification pass. Each stage has a narrower job and a clearer success criterion.
Practical Benefit
Multi-step workflows often improve reliability more than simply swapping in a larger model. Structure is a force multiplier for model capability.