Read the original request again. Then check six things in the draft: every fact, every specific detail that was not in your request, every part of the request the draft skipped, filler, tone, and promises you cannot keep. Ten minutes. It is faster than apologizing.
Smooth is not the same as right
AI drafts read well. That is their trick. A draft can be polished, confident, and wrong in three places. Because it sounds sure, we trust it more than a rough draft from a person. We should trust it less.
Clients do not care who wrote it. They care if it is true and if it answers their question.
Before you read the draft, re-read the request
What did the client actually ask? What did you ask the AI to do? Write down the two or three things the answer must contain. Now you have a test. Without it, you will judge the draft on how it sounds, and it always sounds fine.
The six checks
1. Every fact
Numbers, dates, names, prices, places, quotes. Each one came from somewhere. Where? If you cannot point to the source, check it or cut it. AI tools make up statistics that sound real. "Studies show a 37% increase" is a sentence, not a fact.
2. Specific details you did not provide
If your request did not mention a delivery date and the draft says "by the end of Q3," where did that come from? It was invented to fill a gap. Invented specifics are the most dangerous mistake, because they look like knowledge.
3. The parts of the request it skipped
AI drafts often answer the easy half of a question and skip the hard half, filling the space with pleasant sentences. Go back to your list. Is every item answered? Really answered, not mentioned?
4. Filler
Paragraphs that could be about any company. "We truly value our partnership and remain committed to excellence." Cut them. Clients notice filler, and it makes them trust the rest less.
5. Tone
Is this how you talk to this client? AI defaults to a bright, slightly over-eager voice. A law firm does not want exclamation marks. A longtime client does not want to be addressed like a stranger.
6. Promises
"We guarantee…" "Available 24/7…" "Industry-leading…" If you would not say it in a meeting, do not let a draft say it in writing.
An example
Request to the AI: "Write a reply to Acme explaining that the report will be delivered Friday instead of Wednesday because we are waiting on their data team, and offer a 30-minute walkthrough next week."
The draft was friendly and clear. It also said the delay was "due to unforeseen technical issues on our end" (not true, and it takes the blame off their data team, which matters), promised "a comprehensive 60-minute deep-dive" (you offered 30), and ended with two paragraphs about valuing the partnership.
Three fixes. Without the check, the client would have been told something false about the cause and been promised twice the time.
Where M-Tracker fits
When your team uses AI for client work, you cannot read every draft. In M-Tracker, each task holds the request. When the draft is marked done, M-Tracker compares it with the request and tells the writer what is missing or unsupported before it goes anywhere. The same check runs whether a person, an AI tool, or both did the writing.
Make it fast
Paste the request and the draft into the AI work checker. It lists the facts to verify, the details that look invented, the parts of the request that were skipped, and the filler. You still decide. It just points.
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