Voice your research thoughts while they're fresh. AI extracts hypotheses, literature connections, and research questions.
Research ideas are often nonlinear and exploratory. Speaking lets you capture connections before they fade, without the friction of organizing your thoughts first.
Connections spark while reviewing papers, but capturing them breaks flow.
Early-stage ideas are nonlinear—hard to write but easy to speak.
You see a link between papers but forget it by the time you write.
Good advice gets lost in the noise of back-to-back research discussions.
Voice your research thoughts. AI extracts hypotheses and connections.
Automatically generate questions to investigate based on your brainstorms.
Track connections between papers and concepts with voice notes.
AI suggests new directions and gaps in your research thinking.
Voice your reactions while reading. Get structured questions and hypotheses.
Record discussions privately. Extract feedback, next steps, and decisions.
Capture your thoughts during presentations. Get organized takeaways.
Ramble about your thesis structure. AI organizes into coherent sections.
"This paper claims attention mechanisms are sufficient but they only tested on NLP tasks... what about computer vision? And their baseline is weak, they didn't compare against the 2024 transformers... I wonder if the results would hold with larger datasets..."
Document feedback from advisor meetings without awkward recording bots. No one knows you're taking notes unless you tell them.
Learn about bot-free meeting notes →