The AI note taking app landscape is becoming increasingly crowded, with numerous solutions promising to transform the way we capture meeting notes. However, upon closer inspection, it becomes apparent that many of these apps falter when faced with lengthy or disorganized conversations.

Certain apps, such as Bluedot, demonstrate potential in minimizing manual typing during meetings, but they still require human oversight and editing to ensure accuracy. This disparity between promise and performance raises an important question: are we currently caught up in a hype cycle surrounding AI note taking apps, or have we already reached the technological limitations of this emerging field?

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