SAN FRANCISCO — Leading AI meeting assistant NoteTaker Pro issued a rare public statement this week acknowledging that while it transcribes every word spoken in meetings with 98% accuracy, it has “absolutely no fucking clue” what anyone actually decided.
“We can tell you who spoke for 23 minutes about ‘alignment,'” said Chief Product Officer Marcus Webb. “We can highlight seven instances of the phrase ‘circle back.’ We can even detect when someone said ‘let’s take this offline’ while clearly still online. But what got decided? No idea.”
The admission comes after NoteTaker Pro’s quarterly user survey revealed that 94% of subscribers regularly re-read their AI-generated meeting summaries three times before concluding nothing was resolved.
“It’s like reading a transcript of a fever dream,” explained Sarah Chen, Director of Operations at a Series B startup. “The AI captured every ‘um’ and ‘uh,’ correctly identified that Brian dominated the conversation, and even noted when I was ‘probably multitasking based on typing sounds.’ But did we decide on the new pricing model? I genuinely don’t know.”
The tool’s machine learning model, trained on 50 million hours of corporate meetings, has become exceptionally skilled at identifying patterns that don’t matter. Its latest release includes features like “Jargon Density Score,” “Times Someone Said ‘Just Spitballing,'” and “Probability This Could Have Been An Email” — but still struggles with basic questions like “What are the action items?”
“Our AI can detect passive-aggressive tone with 91% accuracy,” Webb explained. “It knows when ‘I think we’re all aligned here’ actually means ‘I’ve given up.’ But extracting concrete decisions from 40 minutes of corporate meandering? That’s apparently harder than protein folding.”
The company’s most popular feature, “AI-Generated Action Items,” has also come under scrutiny. Users report the algorithm typically produces variations of:
- “Team to reconvene next week”
- “Sarah to follow up on the thing”
- “Further discussion needed”
“It’s technically correct,” admitted longtime user David Park. “Those ARE things that will happen. They’re just not… actionable. Last week the AI suggested my action item was to ‘exist in a state of mild confusion until the next meeting.’ Honestly? Fair.”
NoteTaker Pro’s main competitor, MeetingMind, claimed their AI was “97% better at identifying decisions” — a statistic they later clarified meant “97% better at identifying the WORD ‘decision’ in transcripts,” not actual decisions themselves.
The company has announced a new premium tier featuring “Human Review” — a service where an actual person reads your transcript and writes “IDK, sounds like you need another meeting” in the summary section.
“We’re calling it AI-Human Hybrid Intelligence,” said Webb. “The AI does the transcription. The human does the shrugging.”
When asked what the company decided in their own product strategy meeting about this crisis, Webb paused.
“I’d have to check the AI notes,” he said. “But I’m pretty sure we’re circling back on that.”
At press time, NoteTaker Pro’s AI had flagged this interview as “probably productive” but assigned zero action items.
