I largely analyze data and create software to automate business tasks. This allows people in my company to make informed decisions about the business, how money is or should be spent, who & where to hire, helping non-techical people automate repetitive tasks. I also present/interpret data and influence decision-making.
This might mean creating forecasts. Automating data analysis with reports. Building data sources (gathering and manipulating data from different places and compiling it). Building interactive software or excel sheets for non-technical users. Creating white papers or presentations on analysis I've done. Etc.
I use excel, google sheets, google app script (basically javascript), tableau, python, and SQL.
Their CEO said he liked that people are saying please and thank you. Imo it's because he thinks it's helpful to their brand that people personify LLMs, they'll be more comfortable using it, trust it more, etc.
Additionally, because of how LLMs work, basically taking in data, contextualizing user inputs, and statistically determining the output iteratively (my understanding, is oversimplified) - if being polite yields better responses in real life (which it does) then it'll probably yield better LLM output. This effect has been documented.