An AI task can work well at first and still get worse later.
The information may change. A person may stop checking the answer. A draft may slowly turn into a promise.
The rule is simple:
Check one AI task every week.
What to look at
Pick one task that uses AI.
Ask:
Did AI make a mistake?
Did a person check the answer?
Should we keep it, fix it, or stop it?
That is the whole review.
Example
AI turns sales call notes into follow-up tasks.
Most of the tasks are useful.
But one task says the customer will receive an order next week.
The call notes never promised that date.
The answer is simple:
remove the made-up date
remind the person to check each task
tell AI not to add dates that are missing
Then test it again next week.
Your action today
Choose one AI task you already use.
Make one decision:
Keep it.
Fix it.
Stop it.
Do not leave it running just because it worked once.
Which task will you check this week? Reply with the task. Leave out private details.
10XEveryday
Try the workflow, share what happened, and ask a real implementation question in the 10XEveryday community: https://www.skool.com/10xeveryday-3593?utm_source=beehiiv&utm_medium=web_article&utm_campaign=always_on_growth&utm_content=beehiiv_article_library_bridge
