When you cannot tell what you do not know,Documentation Index
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Use this file to discover all available pages before exploring further.
/mos:map-unknowns plots known, unknown, and unknowable in a Rumsfeld matrix. The unknowable column is usually where the risk lives. The core insight this command is built on: the most dangerous assumptions in a venture are not the ones you know you are guessing — those you watch. The dangerous ones are the claims you are confident about, state as fact, and have never actually tested. Larry cross-references your room entries to find exactly those: high-confidence claims with thin evidence behind them. This command serves the validate-idea job and pairs naturally with any stage where you have accumulated beliefs about the market, the problem, or the solution.
Usage
room/STATE.md and scans existing entries across all sections before opening. Works at any stage of a venture — the earlier you run it, the more time you have to address what it surfaces.
The unknowable quadrant is not a reason to stop. It is a reason to design experiments that reduce the blast radius of the things you cannot confirm before committing.
autonomous_safe: true — this command runs the Knowns and Unknowns Matrix Framework without requiring human confirmation gates. It files the artifact only after asking for your approval.What happens
Context load
Larry reads
room/STATE.md and scans the full room — problem-definition, market-analysis, solution-design, and any other filed sections — to build a picture of what the room currently claims.Pace check
Larry asks: Quick pass or deep dive? Quick pass produces a ranked matrix in a single pass. Deep dive works one quadrant at a time — Larry never rushes this exercise, because it is a thinking exercise, not a checklist.
Known knowns quadrant
Larry surfaces the claims the room states with high confidence and backs with solid evidence. These are the things you actually know. Larry challenges each one lightly — what’s the source? how recent is it? — before marking it confirmed.
Known unknowns quadrant
Larry surfaces the questions the room has explicitly flagged as open: things you know you don’t know yet. These are already on your radar. Larry checks whether any have been informally answered in room entries without being formally closed.
Unknown unknowns quadrant
This is the high-value quadrant. Larry cross-references room entries looking for claims stated with confidence — no hedging language, no source citation, no evidence tier marker — and checks whether the underlying evidence actually supports the confidence level. These are the assumptions you didn’t know you were making.
Unknowable quadrant
Larry identifies the claims that cannot be resolved with currently accessible evidence — things that depend on future market behaviour, regulatory change, or competitor decisions. For each, Larry notes the minimum viable signal that would reduce the uncertainty.
Prioritisation
Larry ranks the unknown unknowns and unknowables by a confidence × evidence-gap score: the higher the confidence and the thinner the evidence, the higher the priority. This gives you an ordered list of the most dangerous beliefs to address first.
Artifact creation and filing
Larry composes the unknowns matrix artifact. Before writing, Larry asks: File this to problem-definition? On confirmation, the artifact is filed to the room’s unknowns path.
Output / Artifacts
The command produces a Rumsfeld matrix document filed to the room:- Known knowns — confirmed claims with evidence
- Known unknowns — open questions the room already tracks
- Unknown unknowns — high-confidence claims with thin evidence, prioritised by confidence × evidence gap
- Unknowables — claims that cannot be confirmed yet, with minimum viable signals for each
- Priority list — the top assumptions to address, ordered by risk weight
Example
Related commands
/mos:bono
Run a six-hat governed research debate — the unknown unknowns become what-if hypotheses.
/mos:beautiful-question
Reframe before you map — surface the real problem before auditing your assumptions about it.
/mos:analyze-needs
Ground the unknowns in real customer jobs before deciding which to address first.
/mos:grade
Grade the room’s evidence quality — pairs with the unknowns matrix to close the loop.