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Strategic decomposition of complex goals into ordered sub-goals that can be executed sequentially or in parallel. Problem addressed: Reasoning depth — the failure mode where one-shot reasoning collapses for tasks needing many steps. Stabilization: When a task requires more than three sequential decisions, when failure at one step demands backtracking, or whe…
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Theoretical construct: explains a term, principle, or mental model.
What organizes, connects, or makes decisions possible.
The agentic planner pattern lets an agent decompose a goal into executable steps, identify dependencies, and choose subsequent actions dynamically.
The pattern combines planning approaches from artificial intelligence with large language model tool use; it grew from the need to steer open-ended tasks across multiple steps.
An agent works like a travel planner: it receives a destination, drafts a route, checks conditions after each leg, and adapts the next stages.
An explicit plan connects a goal, intermediate steps, and decisions.
Planning structures tasks whose path becomes clear only during execution.
The agent plans, invokes tools, evaluates intermediate results, and replans when needed.
The pattern helps with research and automation tasks involving multiple dependent actions.
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