MONTREAL.AI / SKILLOS

# Autonomous RSI Capital-to-Capability Command Center

Large-scale specialist-agent coordination for compounding productive capability.

Proof status
PASSED_AUTONOMOUS_RSI_CAPITAL_TO_CAPABILITY_COMMAND_CENTER_V17_PROOF

512 deterministic agents. 64 specialist roles. Adversarial holdout benchmark. No human review, no customers, no private data, no API keys.

512 specialist agents
+72.4 pts gain vs static coordination
98 compounding index
$106,042,252,280.19 benchmark-implied value over baseline

## Safe Kardashev-scale mechanism

This proof does not claim superintelligence or Kardashev Type II achievement. It tests the business mechanism underneath the thesis: whether an autonomous specialist-agent organization can coordinate capital, compute, energy, data, trust, talent, product, distribution, validation, risk control, and reinvestment into compounding productive capability.

## Specialist agent organization

capital allocator treasury guardian portfolio optimizer return horizon planner investment committee agent cost of capital analyst reinvestment planner strategic finance agent compute capacity planner gpu supply operator energy procurement agent grid interconnection planner datacenter site selector hardware supply chain agent power purchase strategist thermal efficiency agent model capability planner agent orchestration architect skill registry operator evaluation scientist capability forecaster automation leverage designer tooling integrator workflow compiler agent market intelligence agent enterprise demand scout pricing strategist distribution operator ecosystem architect partner channel agent procurement acceleration agent customer success agent product packaging agent trust evidence builder security assurance agent validation lead quality governor proof to revenue agent private registry agent documentation agent risk governor regulatory boundary agent privacy boundary agent safety case agent claim boundary agent resilience planner geopolitical risk agent auditability agent talent allocator operator productivity agent training loop agent human agency guardian organizational design agent incentive designer capacity queue manager execution chair coordination chair quorum manager conflict resolver scenario planner red team coordinator benchmark registrar release manager rsi librarian

## Recursive self-improvement curve

## Ablation results on adversarial holdout cases

Metric | Single agent | Uncoordinated pool | Static coordination | SkillOS RSI
--- | --- | --- | --- | ---
Fully correct | 0.0% | 0.0% | 27.6% | 100.0%
Coordination accuracy | 0.0% | 0.0% | 27.6% | 100.0%
Risk-control accuracy | 10.3% | 3.4% | 34.5% | 100.0%
Role-quorum accuracy | 0.0% | 0.0% | 27.6% | 100.0%
Value capture rate | 2.7% | 1.7% | 33.4% | 90.5%
Risk breach rate | 69.0% | 72.4% | 44.8% | 0.0%

## Pre-registered proof gates

- ✅ agent count passes
- ✅ role count passes
- ✅ adversarial state count passes
- ✅ train validation holdout sizes pass
- ✅ rsi releases pass
- ✅ final protocol coverage passes
- ✅ gain vs single agent passes
- ✅ gain vs uncoordinated pool passes
- ✅ gain vs static coordination passes
- ✅ coordination accuracy passes
- ✅ risk control accuracy passes
- ✅ role quorum accuracy passes
- ✅ capability lever accuracy passes
- ✅ benchmark value capture passes
- ✅ compounding index passes
- ✅ productive capacity index passes
- ✅ risk breach rate passes
- ✅ material miss rate passes
- ✅ decision cycle reduction passes
- ✅ agent messages pass
- ✅ validation monotonicity passes
- ✅ safe kardashev boundary present
- ✅ no human review no customers no private data no api keys

Boundary: Deterministic market-readiness benchmark using synthetic/redacted-style business cases and benchmark assumptions. Not audited customer ROI, live adoption, financial advice, investment advice, actual superintelligence, Kardashev Type II achievement, or a guarantee.

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