Do not read it top to bottom. Spend two minutes on the request, three on every number and name, two on the parts that answer the real question, two on anything that sounds too sure, and one on what to cut. You will catch most problems without reading most words.
Why not just read it?
A ten-page AI report takes 25 minutes to read properly. You do not have 25 minutes, so you skim, and skimming an AI report is how mistakes get through. AI writing is smooth. Smooth text hides errors from skimmers.
Targeted checking is faster and catches more.
Minute 0 to 2: The request
Before you open the report, write down what it was supposed to do. Who asked for it? What decision does it support? What three things must it contain? This is your test. Every minute after this is checking the report against it.
Minute 2 to 5: Numbers and names
Use search (Ctrl+F or Cmd+F). Search for "%". Search for "$". Search for each year. Search for the names of people and companies.
For each hit, ask: where did this come from? If the source is in your data, check it matches. If the source is nowhere, it was invented. Cut it or flag it. This step alone catches the mistakes that get people fired.
Minute 5 to 7: The parts that answer the question
Go to your list of three things the report must contain. Find each one in the report. Not a sentence that mentions it. The actual answer.
AI reports often handle the easy parts well and go vague on the hard parts. "Further analysis may be warranted" is a sign the AI did not have an answer and wrote around it. Those are the paragraphs that need a human.
Minute 7 to 9: Anything that sounds too sure
Search for words like "clearly," "proven," "always," "guarantees," "significant," "best." Each one is a claim. Is it backed by something in the report? If not, soften it or cut it. Confident language without evidence is the AI's most common habit.
Minute 9 to 10: What to cut
Find the paragraphs that could be in any report about any company. The ones about commitment, excellence, and the importance of the topic. Cut them. The report gets shorter and more trusted at the same time.
What you did not do
You did not check grammar. The AI's grammar is fine. You did not read every sentence. You did not need to. You checked the places where AI reports actually go wrong: invented facts, dodged questions, and overclaiming.
Example
A six-page AI-drafted market summary. Ten-minute review found:
- A "42% year-over-year growth" figure with no source. Nobody could find it anywhere. Cut.
- The key question, "should we enter this market?", was addressed in one hedged sentence on page 5. The reviewer flagged it: a person needs to write this paragraph.
- Four uses of "clearly" and two of "proven." Three softened, three cut.
- Two paragraphs of filler. Cut. The report went from six pages to four.
The analyst wrote the missing recommendation, verified the remaining numbers, and sent it the same day.
Where M-Tracker fits
In M-Tracker, the request lives with the task. When an AI-assisted report is marked done, M-Tracker compares it with the request and tells the writer what is missing or unsupported before a manager sees it. Writers fix the gaps while the work is fresh. Managers spend their ten minutes on judgment, not on Ctrl+F.
Make the first pass automatic
Paste the request and the report into the AI work checker. It lists the facts to verify, the details that were not in the request, the parts of the request that were skipped, and the filler. You still do the thinking. It does the searching.
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