# How to Get Better AI Meeting Notes (Guide the AI While You Record) > Generic AI meeting summaries miss what matters. Here's how guiding the AI with your own notes while recording produces sharper meeting notes in 2026. - **Author**: Sami AZ - **Published**: 2026-06-19 - **URL**: https://klu.so/blog/guide-ai-meeting-notes-while-recording --- AI meeting summaries are often generic because the AI does not know what mattered to you in the room. The fix is to add your own notes, key points, names, and context while you record, so the AI weights its summary toward what you flagged instead of guessing. In 2026, the best way to do this on a phone is an app like Flint, which lets you type highlights mid-recording, keeps the full audio and a speaker-labeled transcript so you can verify anything, and works without a meeting bot or a laptop. Most people record a meeting, get an AI summary afterward, and feel vaguely let down. The summary is technically accurate but misses the thing that actually mattered, the offhand commitment, the number someone mentioned, the decision that changes your week. This is not a bad-AI problem. It is a context problem, and there is a simple way to fix it. Why Generic AI Meeting Summaries Fall Short An AI summarizing a meeting has to guess what was important. It sees a transcript with no idea which moments carried weight, so it does what any summarizer does: it pulls out what looks structurally significant and evens everything else into a tidy recap. The result reads fine and misses the point. The trouble is that importance in a meeting is mostly invisible in the words themselves. A quiet "let's just go with option B then" can be the single most important sentence in an hour, and a long animated tangent can be worth nothing. You knew which was which while you were sitting there. The AI did not. So it flattens the two, and you end up rebuilding the meeting from memory later, which is the exact work you were trying to avoid. The other common failure is verification. Many AI note tools give you a clean summary but no way to check it against what was actually said, because they do not keep the audio. When the summary is your only record and you cannot confirm a detail, you are trusting a guess on things like deadlines, pricing, and approvals, which is risky. The Fix: Tell the AI What Matters While It Listens The technique that solves this is simple. Instead of recording silently and hoping the AI guesses well, you add your own notes during the recording, the same way you would jot a word on a pad in a meeting. A name. A number. A "decision:" tag. A reminder to yourself about why a moment mattered. Those notes do two things. They mark the moments you care about, and they give the AI context it could never infer on its own, the correct spelling of a client's name, the project the conversation refers to, the fact that a vague "we'll handle it" actually means a specific commitment. When the AI then writes the summary, it weights toward what you flagged instead of treating every sentence equally. You are not writing the notes for yourself to read later. You are steering the AI. This hybrid approach, your light human cues plus the AI's full transcription, consistently produces sharper summaries than either alone. The AI handles the tedious complete capture. You handle the judgment about what counts. It is the difference between a summary that is correct and one that is useful. What You Need to Do This Well A few things have to be true for this technique to actually work, and most tools miss at least one. You need to be able to add notes without stopping the recording. If flagging a point means pausing, the moment is gone before you have captured it. The notes have to go in live, in a second, while the conversation keeps moving. You need the full audio and transcript kept, not discarded. The entire point is that you can verify what was said. A tool that throws away the audio after summarizing removes your ability to check the one detail that matters most, and it is precisely the detail you will want to check. You need speaker labels for anything with more than one person. A transcript that does not separate who said what turns a multi-person meeting into an unattributed wall of text, and action items lose their owner. Being able to set the number of speakers and name them turns the transcript into something you can actually act on. And for real-world meetings, you need it on your phone. Most AI note tools are built to join a video call as a bot, which is useless the moment you are sitting across a table in a coffee shop or a boardroom with no dial-in. The phone in your hand is the only tool that is always in the room. How to Do It With Flint Flint is built for exactly this technique on iPhone, and it is one of the few mobile apps that supports guiding the summary while you record. While Flint is recording, there is a notes field right on the recording screen. You type your key points, names, terms, or context as the meeting happens, a quick "decision: ship Friday," a name spelled correctly, a flag on a number that matters. When you stop, Flint generates the summary using both the full transcription and the notes you added, so the output reflects what you marked as important rather than a generic pass over the transcript. It is the same guide-the-AI idea that made desktop meeting tools popular, but it happens in your pocket, in the actual room. Crucially, Flint keeps everything. You get the full audio recording and a timestamped transcript alongside the summary, so you can tap any point and hear exactly what was said. Nothing is discarded, so you can always verify a detail rather than trust a guess. For meetings with more than one person, Flint handles long recordings with multiple speakers. You set how many speakers to detect, name them, and the transcript attributes each line, so a long meeting comes back as a readable, labeled record instead of an anonymous block. There is no recording limit, so an hour-long discussion is captured in one take. Flint is also bot-free and laptop-free. You are not adding a bot to a call or opening a laptop; you press record on the phone already sitting on the table. It is local-first, so your audio stays on your device, which matters for sensitive meetings about strategy, money, or people. And it is a one-time $12, not a recurring per-seat fee. The main limitation is platform: Flint is iOS-only for now, with Android coming. If your meetings live entirely inside scheduled video calls and you want a bot to join them, a desktop meeting-bot tool may suit you better. If your important conversations happen in person, on the move, or anywhere a laptop is awkward, Flint is the stronger fit. Flint is available on the App Store. A Simple Workflow for Your Next Meeting Put it together and the routine is light. Before the meeting, press record on your phone and set the notes aside, you will only touch them when something matters. During the meeting, when a decision lands, a number gets quoted, or someone commits to something, type a few words into the notes field, no more than a phrase. Keep listening; the AI is capturing everything else. After the meeting, stop the recording and let the summary generate, then skim it against your flags. If something is off, the full audio and transcript are right there to check, and you can add an instruction and regenerate the summary if you want a different shape. The whole point is that you do almost nothing extra and get a summary that reflects the meeting you were actually in. Frequently Asked Questions Why are AI meeting summaries so generic? Because the AI does not know which moments mattered to you. It sees a transcript with no signal about importance, so it produces an even recap and often misses the decisions or commitments that carried the most weight. Adding your own notes while recording gives the AI that signal. Can I add my own notes while an app records a meeting? Yes. Flint has a notes field on the recording screen where you type key points, names, and context as the meeting happens, and it uses those notes to guide the summary it generates afterward. Do AI meeting tools keep the audio recording? Some do and some do not. Several popular tools discard the audio after summarizing, which means you cannot verify what was said. Flint keeps the full audio and a timestamped transcript alongside the summary, so you can always check a detail. How do AI notes handle multiple speakers? Better tools detect and label speakers so the transcript shows who said what. In Flint you set the number of speakers and name them, and the transcript attributes each line, which keeps action items tied to the right person. Do I need a laptop or a meeting bot for in-person meetings? No. Meeting bots only work inside video calls. For in-person meetings, a phone app like Flint records the conversation in the room with no laptop and no bot, which is why it fits coffee-shop, boardroom, and on-the-move conversations. Is there a meeting notes app without a subscription? Yes. Flint is a one-time $12 purchase rather than a recurring per-seat subscription, and it includes the recording, transcript, speaker labels, and guided summaries. Stop settling for meeting summaries that miss the point. With Flint, you flag what matters while you record, keep the full audio and speaker-labeled transcript to verify anything, and get a summary built around the meeting you were actually in, no bot, no laptop, one-time $12. Download Flint free on the App Store. --- - [All articles](https://klu.so/blog)