There's a huge difference between one shot and few shot versus building a robust harness with deterministic and adversarial quality gates. And I'm finding that agents can actually do a pretty good job of a surprising number of things if you are very clear about your dimensions of quality and the rubrics that you get agents to research and then use to validate against those dimensions of quality.

Make sure to use a deterministic pipeline or harness to go step by step so agents aren't checking their own work and I sometimes get alpha from having a codex check the work of a clod but I am seeing pretty good output across multiple domains when I have three independent quality gates and a loop which only spits it out to a human if it doesn't converge at a reasonable cost.