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

**Status:** `PASSED_AUTONOMOUS_RSI_UNIT_ECONOMICS_PROFIT_ENGINE_MARKET_PROOF`

## Workflow

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

## Why this matters

This is a business-domain proof for a highly profitable, scalable operating model. It is not an email example, invoice example, CloudOps example, cyber defense example, silicon example, metamaterials example, or generic corporate OS example.

The system must decide how to capture profit from real business levers: enterprise value pricing, compute margin, onboarding churn, usage expansion, SLA risk, support monetization, marketplace supply gaps, compliance unlocks, discount controls, renewal risk, workflow bundles, private skill registry moats, and more.

## Recursive Self-Improvement

SkillOS runs recursive self-improvement:

training failures → lessons → candidate unit-economics rules → validation → released skill versions → holdout proof

## Holdout results

| Metric | Baseline | Final SkillOS RSI |
|---|---:|---:|
| Fully correct decisions | 11.3% | 100.0% |
| Opportunity accuracy | 11.3% | 100.0% |
| Intervention accuracy | 11.3% | 100.0% |
| Priority accuracy | 11.3% | 100.0% |
| Value capture rate | 9.3% | 84.7% |
| Material miss rate | 55.5% | 0.0% |
| False intervention rate | 0.0% | 0.0% |
| Avg decision cycle | 25.98 days | 0.38 days |
| Avg decision cost | $142891.57 | $2091.7 |

## Improvements

- Fully correct gain: +88.7 pts
- Opportunity accuracy gain: +88.7 pts
- Value capture gain: +75.4 pts
- Material miss reduction: 100.0%
- Decision-cycle reduction: 98.5%
- Decision-cost reduction: 98.5%
- Synthetic annual value captured on holdout: $10,220,080,559.98

## RSI release history

- Gen 0: `baseline` — fully correct 11.9%, value capture 10.2%, material miss 55.2%, decision cost $142135.45 — released
- Gen 1: `skillos-unit-economics-rsi-v1` — fully correct 23.3%, value capture 22.7%, material miss 43.8%, decision cost $117841.17 — released
- Gen 2: `skillos-unit-economics-rsi-v2` — fully correct 34.8%, value capture 39.1%, material miss 32.4%, decision cost $93546.88 — released
- Gen 3: `skillos-unit-economics-rsi-v3` — fully correct 45.7%, value capture 53.0%, material miss 21.4%, decision cost $70264.86 — released
- Gen 4: `skillos-unit-economics-rsi-v4` — fully correct 56.7%, value capture 63.8%, material miss 10.5%, decision cost $46982.83 — released
- Gen 5: `skillos-unit-economics-rsi-v5` — fully correct 67.6%, value capture 73.3%, material miss 4.8%, decision cost $31228.74 — released
- Gen 6: `skillos-unit-economics-rsi-v6` — fully correct 78.6%, value capture 76.1%, material miss 4.8%, decision cost $23686.93 — released
- Gen 7: `skillos-unit-economics-rsi-v7` — fully correct 90.0%, value capture 79.0%, material miss 4.8%, decision cost $15817.21 — released
- Gen 8: `skillos-unit-economics-rsi-v8` — fully correct 97.1%, value capture 82.1%, material miss 2.9%, decision cost $8161.21 — released
- Gen 9: `skillos-unit-economics-rsi-v9` — fully correct 100.0%, value capture 84.6%, material miss 0.0%, decision cost $2087.64 — released
- Gen 10: `skillos-unit-economics-rsi-v10` — fully correct 100.0%, value capture 84.6%, material miss 0.0%, decision cost $2087.64 — released

## Final learned unit-economics skills

- **skill_usage_expansion** — Detect high retained usage and convert it into expansion without harming retention.
- **skill_marketplace_supply_gap** — Detect supply-constrained marketplace demand and create new skill supply.
- **skill_compliance_pack** — Detect blocked regulated pipeline and package compliance evidence as a repeatable sales asset.
- **skill_workflow_bundle** — Detect adjacent workflow demand and bundle it into a higher-retention package.
- **skill_onboarding_retention** — Detect churn caused by activation failure and repair onboarding before adding demand.
- **skill_sla_quality_gate** — Detect SLA penalty risk and add QA gates before scaling high-risk volume.
- **skill_discount_floor** — Detect discount leakage and protect price integrity through approval controls.
- **skill_renewal_save_motion** — Detect renewal risk and run a save motion before the renewal window closes.
- **skill_private_registry_moat** — Detect opportunity for private skill registry lock-in and create customer-specific compounding releases.
- **skill_support_monetization** — Detect support-heavy accounts and convert repeated support load into self-service plus premium support pricing.
- **skill_standardize_custom_work** — Detect bespoke work that destroys margin and convert it into repeatable skill packages.
- **skill_partner_channel_scale** — Detect partner-led demand and scale through a margin-protected co-sell motion.
- **skill_cut_low_conversion_segment** — Detect bad acquisition segments and reallocate spend toward higher-fit ICP.
- **skill_capacity_reservation** — Detect runtime capacity bottleneck and preserve margin through capacity reservation and off-peak scheduling.
- **skill_payment_risk_guardrail** — Detect payment-risk patterns and protect margin through verification and prepay guardrails.
- **skill_enterprise_value_pricing** — Detect enterprise willingness-to-pay gap and repackage the tier around measured workflow value.
- **skill_compute_margin_optimization** — Detect compute-heavy margin leakage and improve unit economics through routing, caching, and skill reuse.
- **skill_clean_profitable_growth** — Recognize clean profitable growth and avoid unnecessary intervention.

## Proof gates

- ✅ business domain highly scalable profit workflow
- ✅ not email workflow
- ✅ not invoice workflow
- ✅ not cloudops workflow
- ✅ not cyberdefense workflow
- ✅ not silicon workflow
- ✅ not metamaterials workflow
- ✅ not generic corporate os workflow
- ✅ no human review required
- ✅ no customers contacted
- ✅ no private data used
- ✅ no api keys required
- ✅ deterministic reproducible benchmark
- ✅ recursive self improvement releases at least 9
- ✅ rsi validation improves monotonically
- ✅ train cases at least 400
- ✅ validation cases at least 200
- ✅ holdout cases at least 800
- ✅ final rules at least 18
- ✅ fully correct gain at least 80 points
- ✅ opportunity accuracy at least 99 percent
- ✅ intervention accuracy at least 99 percent
- ✅ priority accuracy at least 99 percent
- ✅ value capture rate at least 70 percent
- ✅ material miss rate zero
- ✅ false intervention rate zero
- ✅ decision cycle reduction at least 90 percent
- ✅ decision cost reduction at least 90 percent
- ✅ synthetic value captured positive

## Boundary

This is a 100% autonomous reference workflow proof using deterministic synthetic/redacted-style business data and benchmark assumptions. It is not audited customer ROI, live customer market proof, financial advice, investment advice, or a guarantee of future outcomes.
