That doesn't make sense, considering that the idea of an "agentic workflow" is essentially to invoke the model in a loop. It could probably be done in much less than 100 lines.

This doesn't refute the fact that this simple idea can be very useful. Especially since the utility doesn't come from invoking the model in a loop, but from integrating it with external tools and APIs, all of which requires much more code.

We've known for a long time that feeding the model with high quality contextual data can improve its performance. This is essentially what "reasoning" is. So it's no surprise that doing that repeatedly from external and accurate sources would do the same thing.

In order to back up GP's claim, they should compare models from a few years ago with modern non-reasoning models in a non-agentic workflow. Which, again, I'm not saying they haven't improved, but that the improvements have been much more marginal than before. It's surprising how many discussions derail because the person chose to argue against a point that wasn't being made.