New job, new industry, two weeks until you're expected to have opinions. The standard onboarding — a reading list, some analyst reports, frantic Wikipedia — produces vocabulary without a map: you know the terms but not how the money flows, who hates whom, which "well-known truths" insiders actually dispute. The map is what makes you functional in meetings, and it normally takes months of osmosis.

The fastest mappers ask naive questions relentlessly — but there's a social budget for naivety at a new job, and it runs out. The industry's practitioners, though, have answered every naive question on the record somewhere: on podcasts, panels and explainers. Asked at scale, with no social budget at all.

deep_query is naive-question infrastructure: ask the things you can't keep asking colleagues — how does money actually flow in this industry? who are the real power centers? what do insiders complain about? — and get answers researched across practitioner conversations, cited to the moments, so the map you build is checkable, not vibes.

deep_search layers the curriculum on top: filtered to beginner-friendly explainers for the basics, then to podcast and interview content where operators talk shop — the register where the industry's actual texture lives. A weekend of this produces what osmosis delivers in months: not expertise, but the map — enough to know which meeting questions are smart and which reveal you haven't done the homework. Monday's version of you has done the homework.