Second station of the pipeline. It researches the market with secondary research —it never talks to users, that is the job of the following stations— and sizes the opportunity directionally, every number with its source and its assumption next to it.

Before searching, the pressure method of is applied — cited by path, never copied — to the definition of the segment and the market, and to every source proposed: the counter-question, the pressure capped at 1-2 attempts and the recording of the gap when the second resistance brings no data are the same as always.

It is declared explicitly at the start: "this is secondary research — it does not replace talking to users, that is the next station". User answers are never simulated, and a data point from a secondary source is never presented as if it were primary research.

The opportunity is sized in three layers — TAM (the total market), SAM (the segment reachable with the current business model), SOM (what is capturable within the horizon of the hypothesis being tested) — and every number carries its cited source plus the assumption that turns it from a market figure into a number for this product.

Generic example (B2B app): "TAM of USD 2,000M (source: industry association report, 2025) assuming that the segment of companies with 10 to 200 employees is 15% of that market (own assumption, no source measuring it directly)" is a complete row. A number without a source does not enter the Brief.

Without a source it is worthless. A number that cannot be cited with its origin is not written as if it could be. The source is pressured with the grill method and, if it does not appear after the capped pressure, it is recorded as a gap with who closes it — it is never filled in with an invented number to make the table look tidy.

When the search finds no data for a layer or a segment, the Brief says so explicitly ("no public source found for the SAM of [segment] in [market]") and suggests how to validate it with primary evidence — a short survey, a pilot, an interview with someone in the industry — and never invents the number to complete the row.

The research runs with a cap stated before starting (for example: up to 5 searches per layer, or a fixed block of time) — not an open search until the web runs out. On hitting the cap without resolving a row, it closes with the gap recorded and an explicit plan for how to go deeper if needed: what to search next, with what kind of source (a paid report, an interview with an industry expert).

It closes by writing the deliverable as dated research of the loaded product node, in:

context/<YYYY-MM-DD>-market-brief.md

Dated, never overwritten. The path falls inside of : no new glob and no resolver row are needed.

The Brief carries these three sections, in this order, each with its literal heading:

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The Market Brief does not replace primary research with users: it is the market-context layer that supports the decision about which segment is worth designing the round for.

Without a brain, the deliverable is written to a file in the current folder: the process is the same, but nothing is filed into a node, a backlog or a resolver, and no session scan brings it back later. Inside AI First OS the destinations named above are the real ones and this section does not apply.

The rest of the pack installs one skill at a time. Look at first and offer only the ones that are not there — inside AI First OS they are all installed already, so nothing here gets offered:

The whole pack at once: .

The system these skills come from is AI First OS — — where they run over a brain instead of over the current folder.