by M-Tracker | Oct 22, 2026 | Checking AI work
Checking AI work · 3 min readAI-assisted work is fine. Unchecked AI work is the problem. Look for eight signs: it answers a slightly different question, it is generic, facts or sources cannot be found, numbers do not add up, it ignores your context, it...
by M-Tracker | Oct 22, 2026 | Checking AI work
Checking AI work · 3 min readA small team's AI policy should fit on one page and answer four questions. What can we use AI for? What information must never go into it? Who checks AI-made work before it goes out? Do we tell clients when AI was used? Write...
by M-Tracker | Oct 22, 2026 | Checking AI work
Checking AI work · 3 min readAI tools can state wrong facts with full confidence. Before AI-made work goes out, mark every number, date, name, quote, statistic and source. Check each one against something you trust. Delete anything you cannot check. It...
by M-Tracker | Oct 22, 2026 | Checking AI work
Checking AI work · 3 min readAI does what a new colleague would do with a vague request: something generic. Brief it the same way you would brief a person. Say the result, the reader, the must-haves and the must-nots. Paste an example or the facts it...
by M-Tracker | Oct 22, 2026 | Checking AI work
Checking AI work · 3 min readAI-written emails go wrong in five common ways: they invent details, write for the wrong reader, run too long, sound fake, or bury the ask. Read the draft once for each pattern before you send. It takes two minutes and saves...
by M-Tracker | Oct 21, 2026 | Checking AI work
Checking AI work · 4 min readDo not ban it, and do not pretend it is not happening. Set four rules. The request comes first. The person who sends it owns it. Every AI draft gets checked against the request. Facts get a source or get cut. Then make the...
