# SkillOS Autonomous RSI Revenue Experiment Factory Market-Readiness Proof

This proof is intentionally in the highly scalable business domain.

It is not an email example, invoice example, CloudOps example, cyber defense example, silicon example, metamaterials example, generic corporate OS example, unit-economics profit-engine example, or marketplace-flywheel example.

It is a 100% autonomous proof for a scalable business workflow:

> Revenue experiment design, causal validation, portfolio allocation, and scalable growth-plan selection.

## What makes this proof different

It explicitly includes Recursive Self-Improvement:

training failures → lessons → candidate causal-experiment rules → validation → released skill versions → holdout proof

## Autonomy constraints

The proof uses:

- no human review
- no customers contacted
- no private data
- no API keys
- no external services
- deterministic holdout benchmark

## Why this workflow is market-relevant

Profitable, scalable businesses win by running better experiments faster without fooling themselves. This proof tests whether SkillOS can improve decisions across acquisition, pricing, activation, retention, cross-sell, sales-cycle compression, causal guardrails, cannibalization, underpowered tests, novelty effects, and margin risk.

## What it proves

It proves that SkillOS can autonomously mine growth-experiment failure modes, release improved causal-experiment skills, and improve holdout performance across value capture, causal confidence, guardrails, and experiment-cycle time.

## What it does not prove

It is not audited customer ROI, financial advice, investment advice, live customer adoption, or a guarantee of future outcomes.

## Generated outputs

- `site/rsi-revenue-experiment-factory-proof.html`
- `docs/rsi_revenue_experiment_factory_market_proof.md`
- `data/rsi_revenue_experiment_factory_market_proof.json`
- `data/rsi_revenue_experiment_factory_benchmark.json`
- `badges/rsi_revenue_experiment_factory_market_proof.svg`
