flowchart TB
Problem[["π― Problem
'deploys take 3 days'"]]
subgraph Pop["𧬠Population (evolves across sessions)"]
direction LR
N1["SRE-nose"]
N2["New-hire-nose"]
N3["Finance-nose"]
N4["Legacy-nose"]
N5["Skeptic-nose"]
N6["β¦variants"]
end
Code[("π GitNexus
code + graph + history")]
subgraph Harness["π² 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 -->|"Γ10,000"| Run
end
subgraph Dist["π 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["π§ 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["𧬠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.