MONTREAL.AI / SKILLOS

# Autonomous RSI Capital-to-Capability Engine

Large-scale specialist-agent coordination for turning capital, compute, energy, data, trust, talent, and distribution into compounding productive capability.

Current status
PASSED_AUTONOMOUS_RSI_CAPITAL_TO_CAPABILITY_ENGINE_PROOF

256 agents. 32 specialist roles. Adversarial holdout benchmark. No human review. No customers. No private data. No API keys.

256 coordinated agents
+100.0 pts gain vs single agent
96 productive capacity index
$94,755,510,849.57 benchmark-implied value captured over baseline

## Safe Kardashev-scale operationalization

The benchmark does not claim Kardashev Type II achievement. It tests the business mechanism underneath the thesis: autonomous coordination that compounds productive capability through capital allocation, compute, energy, data, trust, distribution, talent, validation, and reinvestment.

## Specialist agent organization

market intelligence enterprise demand pricing strategy margin architecture compute capacity energy infrastructure data moat model capability product packaging distribution strategy customer success retention strategy ecosystem partnerships supply creation validation science trust and security regulatory boundary risk governance capital allocation capex planning talent allocation operations automation quality evaluation procurement strategy research option value portfolio correlation private registry network effects sales conversion proof and auditability safety boundary coordination chair

## Recursive self-improvement curve

## Ablation: single agent vs uncoordinated pool vs static coordination vs SkillOS RSI

Metric | Single | Uncoordinated | Static | SkillOS RSI
--- | --- | --- | --- | ---
Fully correct | 0.0% | 0.0% | 33.3% | 100.0%
Adversarial fully correct | 0.0% | 0.0% | 33.3% | 100.0%
Coordination accuracy | 0.0% | 0.0% | 33.3% | 100.0%
Risk-control accuracy | 12.5% | 29.2% | 33.3% | 100.0%
Value capture rate | 3.3% | 9.4% | 35.4% | 90.5%
Compounding index | 6.9 | 13.9 | 34 | 97
Productive capacity index | 5.3 | 12.7 | 33.3 | 96
Risk breach rate | 66.7% | 50.0% | 45.8% | 0.0%

## Final learned capital-to-capability protocols

- protocol_data_moat_privacy_boundary — Coordinate data moat, private registry, risk governance and related specialist agents to apply `privacy_preserving_data_moat_council` safely.
- protocol_distribution_without_retention — Coordinate distribution strategy, retention strategy, customer success and related specialist agents to apply `retention_before_distribution_council` safely.
- protocol_high_revenue_low_margin_trap — Coordinate margin architecture, capital allocation, operations automation and related specialist agents to apply `profit_quality_council` safely.
- protocol_capex_option_value_under_uncertainty — Coordinate capex planning, capital allocation, research option value and related specialist agents to apply `staged_capex_option_council` safely.
- protocol_regulated_high_value_beachhead — Coordinate regulatory boundary, risk governance, enterprise demand and related specialist agents to apply `regulated_beachhead_council` safely.
- protocol_model_quality_regression_risk — Coordinate model capability, quality evaluation, validation science and related specialist agents to apply `quality_regression_response_council` safely.
- protocol_pricing_power_churn_risk — Coordinate pricing strategy, retention strategy, customer success and related specialist agents to apply `segmented_value_pricing_council` safely.
- protocol_demand_spike_capacity_mirage — Coordinate compute capacity, quality evaluation, customer success and related specialist agents to apply `capacity_reality_council` safely.
- protocol_security_trust_blocker — Coordinate trust and security, proof and auditability, enterprise demand and related specialist agents to apply `security_trust_council` safely.
- protocol_capital_allocation_correlation_risk — Coordinate portfolio correlation, capital allocation, risk governance and related specialist agents to apply `portfolio_resilience_council` safely.
- protocol_clean_capability_compounding_lane — Coordinate coordination chair, validation science, risk governance and related specialist agents to apply `clean_compounding_monitoring_council` safely.
- protocol_do_not_scale_negative_option — Coordinate capital allocation, risk governance, portfolio correlation and related specialist agents to apply `negative_option_kill_switch_council` safely.
- protocol_compute_demand_energy_bottleneck — Coordinate compute capacity, energy infrastructure, capex planning and related specialist agents to apply `compute_energy_capex_council` safely.
- protocol_enterprise_supermargin_trust_gap — Coordinate enterprise demand, trust and security, proof and auditability and related specialist agents to apply `enterprise_trust_premium_council` safely.
- protocol_research_breakthrough_no_productization — Coordinate research option value, product packaging, validation science and related specialist agents to apply `research_productization_council` safely.
- protocol_service_to_software_productization — Coordinate operations automation, product packaging, margin architecture and related specialist agents to apply `service_to_skill_package_council` safely.
- protocol_partner_distribution_arbitrage — Coordinate ecosystem partnerships, distribution strategy, capital allocation and related specialist agents to apply `partner_arbitrage_council` safely.
- protocol_supply_constrained_marketplace_lane — Coordinate supply creation, market intelligence, validation science and related specialist agents to apply `supply_liquidity_council` safely.
- protocol_proof_gap_blocks_enterprise_sales — Coordinate proof and auditability, enterprise demand, sales conversion and related specialist agents to apply `proof_to_revenue_council` safely.
- protocol_energy_cost_arbitrage_compute_route — Coordinate energy infrastructure, compute capacity, margin architecture and related specialist agents to apply `energy_aware_compute_routing_council` safely.
- protocol_talent_bottleneck_release_speed — Coordinate talent allocation, operations automation, validation science and related specialist agents to apply `expert_leverage_council` safely.
- protocol_workflow_bundle_network_effect — Coordinate network effects, product packaging, data moat and related specialist agents to apply `multi_skill_bundle_network_council` safely.
- protocol_customer_specific_private_registry_moat — Coordinate private registry, data moat, customer success and related specialist agents to apply `private_registry_moat_council` safely.
- protocol_validator_bottleneck_release_drag — Coordinate validation science, quality evaluation, operations automation and related specialist agents to apply `validation_capacity_council` safely.

## Pre-registered proof gates

- ✅ business domain capital to capability compounding workflow
- ✅ kardashev quote operationalized without claiming type ii achievement
- ✅ large agent collective at least 200 agents
- ✅ specialist roles at least 24
- ✅ compares single uncoordinated static and rsi systems
- ✅ adversarial market trap classes at least 12
- ✅ not email workflow
- ✅ not invoice workflow
- ✅ not cloudops workflow
- ✅ not cyberdefense workflow
- ✅ not silicon workflow
- ✅ not metamaterials workflow
- ✅ not generic corporate os workflow
- ✅ not unit economics profit engine workflow
- ✅ not marketplace flywheel workflow
- ✅ not revenue experiment factory workflow
- ✅ not multi agent market command workflow
- ✅ no human review required
- ✅ no customers contacted
- ✅ no private data used
- ✅ no api keys required
- ✅ deterministic reproducible benchmark
- ✅ proof receipts generated
- ✅ recursive self improvement releases at least 12
- ✅ rsi validation improves monotonically
- ✅ train cases at least 720
- ✅ validation cases at least 360
- ✅ holdout cases at least 1440
- ✅ final protocols at least 24
- ✅ beats single agent by at least 95 points
- ✅ beats uncoordinated pool by at least 95 points
- ✅ beats static coordination by at least 60 points
- ✅ adversarial fully correct rate 100 percent
- ✅ coordination protocol accuracy 100 percent
- ✅ risk control accuracy 100 percent
- ✅ role quorum accuracy 100 percent
- ✅ capability lever accuracy 100 percent
- ✅ value capture rate at least 88 percent
- ✅ compounding index at least 96
- ✅ productive capacity index at least 96
- ✅ risk breach rate zero
- ✅ material miss rate zero
- ✅ decision cycle reduction at least 99 percent
- ✅ benchmark implied value captured over single agent positive
- ✅ agent messages on holdout at least 500000

Boundary: This is a deterministic market-readiness benchmark using synthetic/redacted-style business cases and benchmark assumptions. It is not audited customer ROI, financial advice, investment advice, actual superintelligence, Kardashev Type II achievement, or a guarantee of future outcomes.

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