I haven’t fully implemented AI in my data workflow yet, but I’ve been exploring it a lot recently, especially after hearing about tools like Snowflake Cortex, Secoda, and dbt’s AI features. One thing I’ve noticed is that many of these tools are trying to make it easier for non-technical users to interact with data—like writing SQL queries just by typing a question in plain English or generating documentation automatically. I’m still figuring out how effective they are in real-world use. Some seem promising for speeding up routine tasks like exploring datasets or cleaning data, but I wonder how reliable they are for more complex analysis. I’ve also been trying to understand where exactly these tools fit in—should they be used during data exploration, dashboarding, or governance? It does feel like there’s a lot of hype right now, so I’m curious to know from others who are ahead in this journey: which tools have actually made a difference in your workflow? And are there areas where AI still falls short?