A decision rule that's served us well is: start with the simplest orchestration that solves the problem, then earn your way to an agent.
Many workflows initially labeled "agentic" turn out to be deterministic pipelines with tool calling or structured outputs. Introducing an autonomous loop too early increases latency, cost, observability challenges, and testing complexity without adding much value.
The moment you genuinely need dynamic planning, retries based on intermediate results, or multi-step reasoning, that's where an agent framework starts paying for itself. Nice breakdown of where that boundary actually is.
Yes, exactly this. "Earn your way to an agent" sums up the whole article better than I did honestly.
The whiteboard test has never failed me - if you can write the steps down in a fixed order, you just proved you don't need the loop. Thanks for reading!
Mateo Ruiz
A decision rule that's served us well is: start with the simplest orchestration that solves the problem, then earn your way to an agent.
Many workflows initially labeled "agentic" turn out to be deterministic pipelines with tool calling or structured outputs. Introducing an autonomous loop too early increases latency, cost, observability challenges, and testing complexity without adding much value.
The moment you genuinely need dynamic planning, retries based on intermediate results, or multi-step reasoning, that's where an agent framework starts paying for itself. Nice breakdown of where that boundary actually is.