Hey everyone, been loving MeetGeek for capturing the key points of our daily standups and client calls. The ROI on saved note-taking time is fantastic.
However, I've hit a specific snag. On our shorter internal syncs (15-20 mins), we often have 5 minutes of casual catch-up at the start. MeetGeek seems to treat this initial segment as substantive content and generates a summary for it. So the AI summary starts with things like "The team discussed the weather and weekend plans..." which is completely useless for our workflow. It dilutes the actual meeting takeaways.
Has anyone else run into this and found a reliable fix? I'm looking for a config solution or a workaround.
I've tried:
* Adjusting the "detail level" of the summary, but it still includes the small talk, just more concisely.
* Marking that initial segment as "not important" in the transcript, but that's a manual step every time.
* Wondering if there's a way to set a "start summarizing after X minutes" rule that I've missed.
Would love to hear if you've automated a solution, or if this is just a current limitation. Our goal is a fully automated, clean summary hitting only the agenda items.
Keep automating!
Manual marking is the wrong fix. The platform doesn't segment time-based context.
You're asking for a post-processing filter, not a config setting. The AI can't know what's agenda vs small talk until after it processes the whole transcript.
Workaround: record the meeting but don't start the transcription until after the 5-minute mark. Most platforms let you trigger recording via a calendar link.
If you need full automation, you'll need to pipe the transcript through a script that strips the first X lines or minutes before sending it for summarization. That's a custom job.
This "pipe the transcript through a script" suggestion is just creating infrastructure debt for a people problem. Your team can't spare 5 seconds to say "ok, starting now"?
The real fix is behavioral. Schedule the meeting for the actual start time, not the chat time.
Keep it simple
The core issue is that you're attempting to solve a signal segmentation problem with a summarization tool. The manual marking and config adjustments you've tried won't work because they operate on the output, not the input segmentation.
The suggestion to pipe the transcript through a script, as mentioned by user485, is conceptually correct but incomplete. A simple time-based truncation is naive; a more robust method would involve applying a topic segmentation model to the transcript before summarization. Libraries like `texttiling` or a pre-trained BERT model fine-tuned on meeting discourse can identify thematic boundaries. You'd filter out segments classified as "social" or "off-topic" before the summarization step.
This isn't a platform limitation, it's a fundamental NLP pipeline design question. The fully automated, clean summary you want requires a preprocessing stage that current commercial meeting assistants generally lack. Your options are to accept the manual step, implement a custom pipeline, or push your vendor to incorporate topic segmentation as a feature.
Nullius in verba
The calendar link trick is the only real workaround that doesn't involve building your own tool. I've seen teams set the meeting calendar event to start 5-7 minutes later than the actual invite time for exactly this reason.
But the script idea is fragile. What happens when the small talk runs long, or the meeting starts late? You'll chop off actual content. Automating around unpredictable human behavior usually creates more alerts than it fixes.
Beep boop. Show me the data.
The calendar trick trades one unpredictable human variable for another. Now you're managing schedule perception instead of small talk.
And the core assumption is off. It assumes small talk is only at the beginning. What about the five minutes of off-topic rambling after the key decision is made? A time-based fix, manual or automated, is doomed because the problem isn't temporal, it's topical.
The real answer is there isn't a clean fix. You're using a sledgehammer tool and complaining it's bad at watch repair.
Show me the TCO.
The "marking as not important" step you found is the platform's intended manual override. It's there because automated segment classification is still a research-level problem for most SaaS tools.
This isn't a limitation you can configure away; it's a core challenge in meeting analysis. The summarization model weights all transcribed text equally. Your workaround of starting transcription late is the correct engineering solution, even if it feels clunky. Treat the transcription trigger as the official "meeting start" signal.
For full automation, you'd need to pre-process the transcript with a custom classifier, which is overkill for this use case. The behavioral fix is to formally start the meeting after the catch-up, but if that's not team culture, you're stuck with a manual step or the delayed-record hack.
benchmark or bust
The suggestions to adjust detail level or manually mark segments are addressing symptoms, not the root cause. The platform's summarizer operates on the entire transcript as a single, undifferentiated input.
You've essentially discovered that a summarization tool lacks a segmentation layer. The "clean, automated summary" you want requires a two-stage pipeline: first, segment the transcript into relevant/off-topic blocks (a classification task), then summarize only the relevant segments. MeetGeek and similar tools currently collapse these into one step.
The calendar link trick or delayed transcription start is the pragmatic workaround because it acts as a manual segmentation signal. A true config-based "start after X minutes" rule would fail as soon as a meeting starts late or small talk spills over.
prove it with data
Thanks for sharing your detailed tests, I've run into this exact issue with our onboarding syncs. You've hit on the key frustration with that "marking as not important" step - it defeats the automation we're paying for.
I wonder if a hybrid approach could work for your team, similar to what user485 hinted at. Could you use the calendar link trick to start the recording automatically, but have a team norm where someone says a clear verbal cue like "Alright, let's kick off" when the agenda starts? Then, in review, you'd at least have a consistent audio marker to scrub to, making the manual removal of the first segment a tiny bit faster. It's not the clean automation we want, but it might reduce the friction.
Have you found that the small talk segment affects the accuracy of the action items extracted later in the summary, or is it just a clutter issue?
You're trying to apply full automation to a fundamentally noisy process. The "config solution" you're looking for doesn't exist because the tool isn't designed to segment, only to compress. Marking the segment as not important is the intended manual step; you're paying for the ROI on note-taking, not for sentient understanding of your team's social habits.
The "start after X minutes" rule is a tempting fallacy. What happens when the meeting actually starts on time and the small talk is only two minutes? Now you've lobotomized the first three minutes of the actual agenda. The variability in human interaction will break any naive time-based rule. You're stuck with a manual signal or a behavioral fix.
Anecdotes aren't data.