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Interactive 3D/Agent Task Planning and DAG Execution
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Replanning
A: Query rewritePendingB: Web searchPendingC: Read sourcesPendingD: Extract claimsPendingE: Fact-checkPendingF: SynthesizePending
EXECUTION LOG
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Goal
Speed800ms
Agent Planning decomposes goals into a dependency DAG. Tasks execute in topological order. Enable failure simulation to watch the agent detect failure and replan automatically. Hover any node to see the task description.

Agent Task Planning and DAG Execution - Interactive Visualization

LLM agents decompose complex goals into directed acyclic graphs (DAGs) of subtasks with explicit dependencies. Tasks execute in topological order - respecting which tasks must complete before others begin. When a task fails, the agent detects the failure, marks downstream tasks as blocked, and replans by retrying or substituting alternative approaches.

  • Goal decomposition converts a natural language objective into a structured dependency DAG
  • Topological execution ensures prerequisite tasks always complete before dependent tasks start
  • Failure detection immediately halts downstream tasks and triggers replanning logic
  • Replanning can retry a failed task, use a different tool, or restructure the remaining subgraph

Part of the EngineersOfAI Interactive 3D - free interactive visualizations covering every major concept in machine learning and AI engineering. Hover any element for a plain-English explanation. No code required.