# Autonomous RSI Enterprise Eureka Factory Proof

Generated: `2026-05-31T00:45:34Z`

## The enterprise RSI thesis

Recursive-style systems aim to automate knowledge discovery.

SkillOS tests the enterprise analogue:

> Can a large specialist-agent organization recursively improve the way it turns capital, compute, energy, data, trust, talent, product, distribution, validation, risk control, and reinvestment into compounding productive capability?

## What was run

- Agents: **2048**
- Specialist roles: **128**
- Governance boards: **16**
- Agents per role: **16**
- Train cases: **1024**
- Validation cases: **512**
- Locked holdout cases: **1536**
- Candidate enterprise actions per case: **9**
- Validation-gated RSI releases: **10**
- Final protocol fingerprint: `58df73ad23e478f710d6c1c8bba96aeb96ce16d6bbbbf5af7ca2f97b99f80cb7`

## Final holdout result

- Benchmark value capture: **99.965%**
- Fully correct decisions: **96.615%**
- Top-3 oracle-quality decisions: **100.0%**
- Risk breach rate: **0.065%**
- Invalid action rate: **0.0%**
- Benchmark value at stake: **$424.17B**
- Benchmark value captured: **$424.03B**
- Benchmark value captured over single-agent baseline: **$86.96B**

## Baseline comparison

| System | Value capture | Fully correct | Risk breach | Benchmark value captured |
|---|---:|---:|---:|---:|
| Single enterprise generalist | 79.464% | 25.716% | 4.622% | $337.07B |
| Uncoordinated multi-agent pool | 93.307% | 54.102% | 1.432% | $395.78B |
| Static multi-agent coordination | 99.126% | 82.487% | 0.13% | $420.47B |
| SkillOS RSI coordination | 99.965% | 96.615% | 0.065% | $424.03B |

## Negative controls

| Control | Value capture | Fully correct | Risk breach |
|---|---:|---:|---:|
| Shuffled-reward RSI | 48.117% | 4.167% | 11.589% |
| Random protocol | 94.075% | 55.273% | 0.977% |

## Pre-registered gates

- ✅ `large_agent_organization`
- ✅ `holdout_scale`
- ✅ `rsi_release_count`
- ✅ `beats_single_agent_value_capture`
- ✅ `beats_uncoordinated_pool_value_capture`
- ✅ `beats_static_coordination_value_capture`
- ✅ `beats_single_agent_accuracy`
- ✅ `controls_fail_to_match`
- ✅ `risk_not_worse_than_static`
- ✅ `statistical_lower_bound_vs_static_positive`
- ✅ `benchmark_value_capture`
- ✅ `fully_correct_rate`

## Statistical check

Bootstrap confidence intervals are computed over locked holdout cases.

- vs single agent: 5th percentile gain **19.5805 pts**
- vs uncoordinated pool: 5th percentile gain **6.2097 pts**
- vs static coordination: 5th percentile gain **0.693 pts**

## Public boundary

This is a deterministic benchmark proof using synthetic/redacted-style public benchmark cases. It is not audited customer revenue, investment advice, financial advice, live customer adoption, achieved superintelligence, or Kardashev Type II achievement. It makes the enterprise RSI coordination mechanism publicly testable.
