Work-Out Sim β€” Monte Carlo idea generator

You bring the problem. A population of grounded noses argues it out, thousands of times, with the dice shaken. The product is a distribution, not a meeting.
flowchart TB
    Problem[["🎯 Problem
'deploys take 3 days'"]] subgraph Pop["🧬 Population (evolves across sessions)"] direction LR N1["SRE-nose"] N2["New-hire-nose"] N3["Finance-nose"] N4["Legacy-nose"] N5["Skeptic-nose"] N6["…variants"] end Code[("πŸ“š GitNexus
code + graph + history")] subgraph Harness["🎲 Monte Carlo harness β€” N runs"] direction TB Dice["Shake the dice per run:
β€’ which noses are in the room
β€’ which evidence each pulls
β€’ proposal order
β€’ vote order
β€’ persona temperature
β€’ problem rephrasing"] Run["Run the room:
propose β†’ vote β†’ record"] Dice --> Run Run -->|"Γ—10,000"| Run end subgraph Dist["πŸ“Š Distribution over ideas"] direction TB Scatter["Frequency Γ— Agreement scatter
(four quadrants below)"] Sens["Sensitivity:
which ideas survive if
we remove SRE-nose? etc.
"] Var["Variance flags:
ideas the room couldn't
agree with itself about
"] end Human["πŸ§‘ Human
explores the distribution"] HumanActs{{"Human actions:
β€’ keep / ignore
β€’ start a branch
β€’ add own idea
β€’ rephrase problem
β€’ spawn / retire a nose"}} subgraph Sakana["🧬 Sakana loop β€” mutates the population"] direction TB F1["Proposer fitness
does this nose surface
ideas the human keeps?"] F2["Catalyst fitness
does this nose's presence
shift the distribution
toward kept ideas?"] F3["Judge fitness
do this nose's votes
correlate with human's picks?"] F4["Gap signal
human-added ideas
no nose found β†’ spawn new lens"] Mut["Mutate / prune / spawn:
prompts, search strategies,
priors, temperature"] F1 --> Mut F2 --> Mut F3 --> Mut F4 --> Mut end Problem --> Harness Pop --> Harness Code -.grounds every run.-> Harness Harness --> Scatter Harness --> Sens Harness --> Var Scatter --> Human Sens --> Human Var --> Human Human --> HumanActs HumanActs --> F1 HumanActs --> F2 HumanActs --> F3 HumanActs --> F4 Mut -.next session.-> Pop classDef problem fill:#3b2a0a,stroke:#d97706,color:#fde68a; classDef human fill:#0b2a3f,stroke:#38bdf8,color:#e0f2fe; classDef harness fill:#2a0f24,stroke:#ec4899,color:#fce7f3; classDef dist fill:#2a2208,stroke:#ca8a04,color:#fef3c7; classDef pop fill:#0a2416,stroke:#16a34a,color:#dcfce7; classDef sakana fill:#0a2416,stroke:#16a34a,color:#dcfce7; class Problem problem; class Human,HumanActs human; class Harness,Dice,Run harness; class Dist,Scatter,Sens,Var dist; class Pop,N1,N2,N3,N4,N5,N6 pop; class Sakana,F1,F2,F3,F4,Mut sakana;
Rare goldlow freq Γ— high agreement β€” ideas only a specific lens finds, but everyone nods when they do. The quadrant a single Work-Out session can't see.
Obvious winshigh freq Γ— high agreement β€” you probably already knew. Good sanity check that the room isn't broken.
Noiselow freq Γ— low agreement β€” prune. Signal that some noses are chasing hobbyhorses.
Contested evergreenshigh freq Γ— low agreement β€” the stuff every retro re-litigates. Worth naming, rarely worth solving in this session.