Delegation to an agent is easy. The harder skill is recognizing the moment when the agent has reached the limit of what it can handle reliably and you need to step back in — not because the agent failed obviously, but because something subtle has gone wrong that only you can see.

The obvious cases are easy. The agent produces nonsense, calls the wrong tool, loops indefinitely. You intervene. These failures announce themselves. The hard cases are the ones where the agent is producing something plausible — coherent, well-structured, internally consistent — that is subtly wrong in a way that requires domain knowledge or contextual understanding you have and the agent doesn't. The output looks fine. Your instinct says something is off. Trusting that instinct is the skill.

Instinct here isn't mysticism. It's pattern recognition built from knowing the domain, knowing the codebase, knowing the users, knowing the history of decisions that led to the current system. When agent output triggers that recognition — when something feels wrong even though you can't immediately articulate why — that feeling is usually a signal worth following. The articulation comes later, when you slow down and examine the output carefully. The instinct comes first.

The failure mode in the other direction is taking back the wheel too readily — intervening whenever the agent's approach differs from what you would have done, micromanaging rather than delegating, never giving the agent room to handle things you've already verified it handles well. This wastes the value of delegation and keeps you in execution work when you could be doing thinking work.

The calibration develops with experience. You learn which domains and task types your agent handles reliably and which ones it handles poorly. You learn the specific failure signatures — the particular ways this agent, on this task, goes subtly wrong. You build a mental model of the agent's judgment that tells you when to trust it and when to watch more carefully.

Knowing when to let go and when to hold on is the same skill in agentic programming as in management. It takes time to develop and it's worth developing deliberately.

The agent drives well on the straight roads. Know where the curves are.