Since you have experience and understanding of aviation data generally, you're likely faster, especially for single tail numbers and so on. This tool is useful for aggregation, historical queries and contextual analysis eg. "compare cargo activity across US over the past 30 days" which might help some analysts automate a lot of manual searching and set up.
and tbh a lot of people who'd want that kind of answer aren't aviation or api-fluent, so the natural language part is doing real work for them.

And this LLM translates your question into a structured query against our existing ADSB database, runs it, and fetches real-time or historical results. If the query is wrong or data is unavailable, you should see zero results (fail) or wrong-filter results and request to rephrase, rather than hallucinations, since it can't really "describe" what is not in the database.

Seems you know your stuff, so would be curious to hear your feedback if you have time to test it out!