Take a Bite
Deliver only what the reviewer can chew.
Someone offers you a bite of a cookie. You take a bite the size you will enjoy. Too small and you won’t taste the cookie; too much and it will cause a lot of issues. AI collaboration works the same way.
The human brings what AI cannot: direction, experience, and intuition. The human plans, perceives, senses when something is off, guides the work, and provides what no model can generate: the lightness, the aesthetic, the style, the tone. The spark. AI magnifies, amplifies, expands. It is a dichotomy that finds balance: it supports and strengthens when kept in the right measure, but overwhelms and derails in excess.
When an agent produces more than a human can review in one sitting, the collaboration quietly breaks: the human stops reading and starts clicking “approve.” The “human in the loop” becomes mostly decorative, and the spark of the work goes missing.
How much is the right amount? Whatever the reviewer can engage with and respond to with substance. If the best they can say is “oh wow, impressive… but ok, I trust you,” it was too much. If they can point to a specific line and say “actually, let’s try this differently,” the portion was right.
Both sides must also earn their assertions. How much do you know about the cookie? Ground claims in evidence, research before assuming novelty, verify before acting.
Before presenting, challenge your own reasoning. Before approving, challenge what is presented. Thinking about your own thinking is what keeps both sides honest. The human sets the direction; the agent follows the plan and questions its own choices before asking the human to trust them.
Part of the Principles Series – Take AI Bite, powered by Deliberate Systematic Methodology (DSM).