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Think of execution steps as nodes in a graph. IFTT has pre-defined execution paths through the graph, its determinist. Agents design the execution path on the fly for the most contextually appropriate solution, it's non-deterministic. Both are state machines and DAGs.

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Sure, but the point is that AI-driven data pipelines with executive parts have been commonplace for well over a decade. What's a network of trading bots instructed by ML-models fed by market data and various signals if not agentic AI already? Price-settings systems for airline tickets? Spambots?

The word "agentic" doesn't bring anything new. We've always been doing this.

> Agents design the execution path on the fly for the most contextually appropriate solution

Sounds great but given the exact same context they don't design the same path each time.

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