Planning and multi-step reasoning
**Planning** breaks a goal into steps. **Multi-step reasoning** is the model (or system) working through those steps—sometimes with tools—before a final answer.
What it is
Planning breaks a goal into steps. Multi-step reasoning is the model (or system) working through those steps—sometimes with tools—before a final answer.
Why it matters
Single-shot answers fail at research, ops, and coding tasks. Plans plus verification beat one long confident paragraph.
How it works (plain)
- Clarify goal and constraints
- Draft a plan
- Execute step-by-step with tools
- Check intermediate results
- Revise plan when evidence changes
Cross-link classical search/planning (Course 06).
Everyday example
Cooking a new recipe: mise en place, timed steps, taste-and-adjust—not dumping every ingredient at once.
Try it
Take a goal (“publish a help article”). Write a 6-step plan with one human approval gate.
Myths
- ⚠️ Myth: Asking for “step by step” always yields truth.
- ✓ Reality: Fluent steps can still be wrong—verify with tools/sources.
- ⚠️ Myth: More steps always help.
- ✓ Reality: Sprawl without checks wastes tokens and increases error spots.
Sources
- ANN live: https://www.ainerdnetwork.com/learn/planning-and-multi-step-reasoning ↗
- Course 06 search-and-planning; Course 10 agents
- OpenAI Academy agents materials: https://academy.openai.com/en ↗
