Brutal feedback on prototype that analyzes datasets automatically

I've been building a side project for data analysis and wanted some honest feedback from people who actually work with datasets.

The idea is simple: upload a dataset and get an automated review of data quality, cleaning suggestions, generate business insights, feature engineering ideas, and recommendations on which ML models might fit the data with proper evidences.

Before I spend more time improving it, I'm trying to understand whether this is solving a real problem or just something I personally find useful.

A few questions:

1. When starting a new dataset, what usually consumes the most time?

2. Which parts of exploratory analysis do you wish were automated?

3. What would make you trust (or not trust) recommendations generated by a tool like this?

4. What's the first thing you'd test if you were evaluating such a tool?

I'm not looking to sell anything here—just trying to understand whether I'm building something people would genuinely use.

Any brutal feedback is welcome.