Category:
Category:
Planning & Execution (Agents)
Category:
Agentic AI & Orchestration
Definition
The process of breaking down goals into steps and executing them using reasoning, retrieval, and tools.
Explanation
Planning allows agents to translate high-level goals into actionable sub-tasks. Execution carries out these tasks through tool calls, retrieval actions, and reasoning steps. Modern AI planning techniques include chain-of-thought, ReAct (Reason+Act), planner–executor architectures, self-reflection, and hierarchical planning. Planning is the brain of agentic systems, enabling them to operate autonomously and adjust when encountering errors or new information.
Technical Architecture
Goal → Planner → Step List → Executor Agent → Tool Calls → Validation → Next Step → Final Output
Core Component
Planner, executor, validator, memory, evaluator, tool layer
Use Cases
Research pipelines, document analysis, automation workflows, coding agents, marketing automation
Pitfalls
Over-decomposition, hallucinated steps, runaway loops, incorrect sequencing
LLM Keywords
Agent Planning, Task Decomposition, LLM Execution Patterns
Related Concepts
Related Frameworks
• Chain of Thought
• ReAct
• Self-Reflection
• Tool Use
• Planner–Executor Pattern
• Multi-Step Workflow Diagram