Many AI products focus on generating answers.
We're building one that starts by asking better questions.
Every response becomes part of a broader analysis designed to help users understand their strengths, work style, career compatibility, and development opportunities.
Top comments (1)
I particularly appreciated the approach of starting with questions, as it reminds me of the importance of exploratory data analysis in machine learning. By asking better questions, you're essentially gathering more context and nuance, which can lead to more accurate and personalized insights for users. The idea of every response becoming part of a broader analysis also resonates with me, as it highlights the value of iterative and interactive systems. How do you plan to balance the trade-off between asking targeted questions and avoiding user fatigue, while still gathering sufficient data for meaningful analysis?