AI for Business | By Christopher Ross (https://thisismyurl.com) The Meeting Notes Looked Fine ============================= 901 words | June 23, 2026 --- Dana runs a renovation business with a crew of two. Every Monday morning, the three of them sit down for about twenty minutes and sort out the week. For years she scribbled the notes on a legal pad. A few months ago she started using an AI note-taking app instead. It listens to the meeting, types out everything that gets said, and then writes a short summary at the end with the decisions and the to-do list. The first time she tried it, she was a little stunned. It caught things she would have missed on the pad. After three or four weeks, she stopped taking her own notes entirely and just read the summary when it landed in her inbox. Then came the Monday that cost her. That morning, her crew member Marcus brought up the Saturday schedule. They had a job that needed weekend coverage, and Marcus mentioned he had something going on that weekend, a family thing he had committed to a while back. It was a quick exchange. Dana said she would look into it and figure out the coverage. Then the meeting moved on to other things and wrapped up. The summary came through a few minutes later. Under the heading for the week’s schedule, it read: “Saturday schedule confirmed, crew on board.” Dana read it, it matched her sense that the meeting had gone fine, and that afternoon she emailed the Saturday plan to the client. Marcus showed up Saturday thinking the conflict was still being sorted out. Dana thought it was settled. The site sat with nobody on it for three hours while they got each other on the phone and worked out who was driving where. The client noticed the empty site. That is the part that stings. Why the summary said something that wasn’t true Here is the thing worth understanding, because it is not what most people assume. The app did not malfunction. It did exactly what it was built to do. It listened to the conversation and wrote a tidy version of it. The trouble is that “a tidy version of what was said” and “what actually got decided” are two different things, and the app cannot tell them apart. When Marcus raised his weekend conflict, that was a problem being opened, not closed. Dana saying “I’ll look into it” was her leaving it open. But a back-and-forth that ends politely, with nobody arguing, reads to the app like agreement. It heard the Saturday topic come up, it heard the conversation move on without a fight, and it summed that up as “confirmed.” It rounded an unfinished conversation up to a finished one, because finished is what most conversations that end peacefully sound like. Dana trusted the summary for a good reason. For three weeks it had been right. Every to-do it listed was a real to-do. Every name it attached to a task was the right name. It had earned her trust on the easy stuff, the stuff where what got said and what got decided were the same thing. So when it handed her a summary on a Monday where those two things came apart, she had no reason to look twice. The tool was reliable right up until the one moment it mattered that it wasn’t. That is the trap. An AI summary is a transcription and shortening tool. It is very good at telling you what words were spoken. It has no way of knowing which of those words were a decision, which were a worry someone parked, and which were just talk. It gives you a smooth, confident, plausible version of the meeting every single time, including the times the meeting was not actually smooth. Two things to do You do not have to give up the app. It is genuinely useful. You just have to stop letting it be the last word on what got decided. First, for the next five meetings where you use the tool, do a two-minute check before you act on anything. Open the summary, look at the action items, and next to each one write either “confirmed” or “to be resolved.” Just from memory, your own memory of the room. Then compare. You will find out fast which parts the tool nails (most of them) and which parts it quietly smooths over (the unfinished ones). After five meetings you will know exactly where it tends to round up. Second, once you have done those five checks, set one rule for your crew. If something in a meeting is not settled, somebody has to say “we’re leaving this open” out loud before the meeting ends. Say it plainly so the app catches it in the recording. The summary can only work with the words it hears, so give it the words. Unfinished business that nobody names out loud is the thing that gets smoothed into a fake “confirmed.” Name it, and the tool writes it down correctly. Both of these take a couple of minutes a week. Neither one needs new software, a login, or a setting buried in a menu. It is a pen and a sentence said out loud. Dana still uses the app every Monday. Now she reads the summary with her own memory sitting next to it, and when something was left open, she is the one who writes that down. ======================================================================== ATTRIBUTION CODE FOR WEB PUBLISHERS ======================================================================== If you are publishing this column on your website, the code block below helps search engines correctly link this content to Christopher Ross. It is optional but recommended. HOW TO ADD IT IN WORDPRESS -------------------------- 1. In your WordPress dashboard, go to Plugins > Add New and install the free plugin "WPCode" (search for that name). 2. Once installed, go to Code Snippets in your dashboard menu. 3. Click "Add New Snippet" and choose "HTML Snippet." 4. Give it a name like "Christopher Ross byline - AI for Business" 5. 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