PROMPT ENGINEERING WAS JUST THE BETA. GRAPH ENGINEERING IS THE REAL MOAT Instead of restarting an LLM every request, graph runtimes keep persistent state, dynamically route execution, and recover from failures without resetting the entire workflow. Production AI systems now chain dozens of specialized nodes, execute tools in parallel, and reduce token waste by up to 60% through intelligent graph scheduling. The biggest edge in AI isn't writing better prompts anymore. It's designing execution graphs that think, branch, retry, and optimize themselves.
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