When to Stop Using AI on a Task

Why this matters

Not every task benefits from AI. Some become slower and worse once you add the tool and the verification overhead. Stopping is a skill. Continuing out of habit is not efficiency.

What you will be able to decide after this

• When the verification overhead has eaten the time advantage — with numbers.
• When the task's exactness or accountability needs are beyond what the model can provide.
• When the tool is a way of avoiding starting the work.

Core lesson

Clear signals it is time to stop:

• Verification consistently takes longer than doing the work yourself
• The output requires so much rewriting that you have lost the time advantage
• The task needs exactness or accountability that the model cannot provide
• You are using the tool mainly to avoid starting

Each signal is checkable. The first two are arithmetic. The third is a judgment about the task. The fourth is the uncomfortable one — it is about you, not the tool.

Worked example

A team member drafts a weekly compliance note with AI. Drafting takes three minutes; verification takes forty-five, because every regulatory claim must be traced to a source and the model's citations are unreliable. The rewriting adds another twenty. Total: over an hour, against twenty minutes by hand. The post-mortem is not "the AI is bad." It is "the verification cost makes this task net negative, and the stop signal was visible after the second week."

Practice

Look at your last three AI uses — not the impressive ones, the actual recent ones. For each, estimate: time saved, verification time, rewriting time, and whether the task demanded exactness the model could not provide. Write the numbers.

Apply — produce the artifact

Review three recent AI uses (including the one from this pack). For each, write a short post-mortem: net value, what worked, what did not, and a clear decision — keep, modify, or drop the AI involvement.

Verify

Pick the decision you are least sure about and defend it out loud or in writing to someone else. If the defense relies on "it feels faster," go back to the numbers.

Sources

This module is original practice guidance based on the authoring standard and does not depend on a specific external factual claim. Editorial review is still required.