# SkillOS Autonomous RSI Unit Economics Profit Engine Market-Readiness Proof

This proof is intentionally in the business domain.

It is not an email example, invoice example, CloudOps example, cyber defense example, silicon example, metamaterials example, or generic corporate OS example.

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

> AI workflow marketplace unit-economics optimization and scalable profit-capture planning.

## What makes this proof different

It explicitly includes Recursive Self-Improvement:

training failures → lessons → candidate unit-economics 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

A scalable AI workflow marketplace is valuable only if it can capture profitable volume. This proof tests whether SkillOS can improve decisions across pricing, routing, margin, retention, SLA risk, marketplace supply, customer-specific skill registries, and value capture.

## What it proves

It proves that SkillOS can autonomously mine failure modes, release improved business skills, and improve holdout performance on a scalable profit-engine workflow.

## 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-unit-economics-proof.html`
- `docs/rsi_unit_economics_market_proof.md`
- `data/rsi_unit_economics_market_proof.json`
- `data/rsi_unit_economics_benchmark.json`
- `badges/rsi_unit_economics_market_proof.svg`
