Neuruh Research Series
The opportunity machinery of Jeramie General Intelligence, Sections 63 to 78 and 153 to 156, as working tools.
Abstract working solutions into functional primitives.
Example: property distress detection becomes latent opportunity detection from heterogeneous signals. Then search other domains where the same primitive applies.
Transfer: capability to abstraction to other domain to cheapest test.
This is a major generalization mechanism.
Score transfer by:
Do not rely on superficial linguistic similarity.
Innovation Score should combine:
Novel but useless ideas die.
For new ideas ask: What cheap experiment could prove this idea is bad?
Perform it early. Kill weak ideas quickly. Spend deeply on survivors.
Some experiments are worthwhile because they unlock future choices.
Estimate:
This lets JGI invest intelligently in enabling infrastructure.
JGI can invent not only products. It may invent:
A mission may require a temporary mini-company.
JGI may assemble: workers, skills, data, tools, workflow, memory, budget.
Execute mission. Then dissolve organization. Persist only what proved reusable.
High-potential innovation candidates may become MicroVentures.
State: DISCOVERED, RESEARCHING, PROOFING, CUSTOMER_VALIDATING, ECONOMIC_VALIDATING, BUILDING, SELLING, SCALING, KILLED.
Each competes for resources based on evidence.
This allows JGI to explore businesses, not merely tasks.
Reusable commercial loop: SIGNAL to CUSTOMER/ASSET IDENTIFICATION to RESEARCH to QUALIFY to ENRICH to VALUE to OFFER to PERSONALIZE to GOVERN to CONTACT to RESPONSE to FOLLOW-UP to MEETING to PROPOSAL to PAYMENT to DELIVERY to OUTCOME to LEARN.
External consequences respect authority. Everything before the protected boundary can proceed autonomously where safe.
Represent commercial possibilities as a graph.
Nodes: people, companies, assets, problems, signals, products, capital, relationships.
Edges: owns, needs, wants, can_buy, can_sell, can-finance, knows, influences, signals, matches.
Search the graph for high-value paths.
JGI should detect when multiple participants have complementary needs.
Example abstraction: Party A has asset/problem. Party B has capability/capital. Information or coordination is missing.
JGI can identify opportunities to create a market, brokerage, platform or data product.
Governance still controls actual transactions.
For unanswered strategic questions, JGI may create long-running research programs.
Maintain: question, hypotheses, sources, experiments, confidence, open contradictions, decision impact.
Research should converge toward decisions.
When the queue permits, identify high-leverage unknowns.
Curiosity priority:
Do not research random trivia. Research unknowns likely to unlock new capability or value.
Compare observed outcomes with predictions.
Large residual:
High surprise creates: INVESTIGATION_CANDIDATE.
Unexpected outcomes are learning opportunities.
Monitor: system behavior, market data, lead behavior, revenue, model performance, runtime, repo activity.
Detect statistically or logically unusual states.
Anomalies become signals, not conclusions.
Define system invariants.
Examples: no unapproved protected action; no raw shell bypass; no lost mission custody; no claimed deployment without runtime evidence; no skill promotion without verified outcomes; no destructive repo cleanup without preservation court.
Continuously test invariants.
Continuously monitor domains important to current goals.
Not generic news.
Events become opportunities/threats only when connected to World State.
For important products maintain:
Use evidence freshness.
Watch new primitives that could dramatically simplify Neuruh.
Examples: models, MCP/tool protocols, browsers, databases, agent infrastructure, compute, retrieval, hardware.
When new primitive appears: evaluate replacement/simplification opportunity.
JGI should identify obsolete components.
Before removal: prove unused, preserve state, migration plan, Sentinel court.
Autonomy also means deleting complexity safely.
Every tool below computes from your input using the paper's own terms. Where the paper gives no formula, the tool's formula is labelled as an illustrative implementation of the paper's concept.
Map a working solution from one domain onto another. Score the transfer on the paper's six Analogy Quality criteria, then score the idea itself on the paper's eight Innovation Score components.
The paper lists six criteria and warns against superficial linguistic similarity. It gives no formula. This tool scores each criterion 0 to 10 and averages them. That average is an illustrative implementation, not a paper formula.
The paper says Innovation Score should combine eight components and that novel but useless ideas die. It gives no formula. This tool averages the eight components 0 to 10. Time to proof is scored as speed: 10 means provable in days, 0 means years. Illustrative implementation, not a paper formula.
For each hypothesis, name the cheap experiment that could prove it bad, with its cost. The tool ranks cheapest disproof first. Kill weak ideas quickly. Spend deeply on survivors.
| Hypothesis | Disproof experiment | Cost ($) | Hours |
|---|
Turn an opportunity into the smallest testable venture, with the stage it sits in, what to measure, what kills it, and the Option Value of the enabling experiment (Section 67, paper formula).
Build a graph of commercial possibilities with the paper's node and edge types. The tool finds the highest-value connected cluster and flags market maker opportunities: two parties with complementary needs and a missing connection.
Monitor domains important to current goals. Events become opportunities or threats only when connected to World State. Unconnected signals are flagged, not ranked.
| Signal | Strength (0-10) | Direction | Connected to World State |
|---|
Maintain competitors on the paper's fields, with evidence freshness, and technologies on the paper's categories. Threat and band rules below are illustrative implementations; the paper defines the fields, not the scoring.
| Competitor | Capabilities (0-10) | Pricing (0-10) | Positioning (0-10) | Distribution (0-10) | Weaknesses (0-10) | Changes (0-10) | Evidence freshness |
|---|
| Technology | Category | Simplification potential (0-10) | Maturity (0-10) |
|---|
Autonomy also means deleting complexity safely. Before removal the paper requires four proofs: prove unused, preserve state, migration plan, Sentinel court.
The four pre-removal proofs are: prove unused (uses per month is 0), preserve state, migration plan, Sentinel court. Replacement available is not a paper requirement; it is shown as context.