What if your AI agent stopped thinking in a straight line and started planning like a graph? In this episode of AI Sparks, Praveen breaks down Graph-based Agent Planning (GAP) – a new way for AI agents to plan tasks as graphs instead of boring to-do lists.

We explore how GAP lets agents run multiple tool calls in parallel, cut down latency and token costs, and behave less like a slow intern and more like a high-speed digital team. If you’re building AI products, agents, or workflows, this episode will change how you think about “planning” in AI.

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