aetherlang-strategy

# AetherLang Strategy Ω V3 — Nobel-Level Business Intelligence

> Game theory, Monte Carlo simulations, behavioral economics, and competitive war gaming. The most advanced AI strategy engine available.

**Source Code**: [github.com/contrario/aetherlang](https://github.com/contrario/aetherlang)
**Author**: NeuroAether (info@neurodoc.app)
**License**: MIT

## Privacy & Data Handling

⚠️ **External API Notice**: This skill sends queries to `api.neurodoc.app` for processing.

- **What is sent**: Natural language business/strategy queries only
- **What is NOT sent**: No credentials, API keys, personal files, or system data
- **Data retention**: Not stored permanently
- **Hosting**: Hetzner EU (GDPR compliant)
- **No credentials required**: Free tier, 100 req/hour

## What This Skill Does

Three V3 strategy engines in one skill:

### 📈 APEX Strategy V3 — Nobel-Level Analysis
Every response includes:
- **EXECUTIVE SUMMARY** — 3-4 actionable proposals with numbers
- **SITUATION ANALYSIS** — Quantified current state, challenges with impact scores, stakeholder mapping
- **STRATEGIC OPTIONS** — Min 3 alternatives with complexity (1-10), time_to_value, investment €, ROI%, risk
- **GAME THEORY** — Nash Equilibrium analysis, payoff matrix
- **BEHAVIORAL ECONOMICS** — Anchoring, Loss Aversion, Social Proof, Endowment Effect strategies
- **MONTE CARLO** — 10,000 simulations: P(ROI>100%), P(Break-even<12mo), P(Loss), 90% CI
- **DECISION TREE** — Expected Values with probabilities for each option
- **IMPLEMENTATION ROADMAP** — Foundation 0-30d, Build 30-90d, Scale 90-180d, Optimize 180+d
- **RISK MATRIX** — Probability × Impact + mitigation + contingency + early warnings
- **COMPETITIVE WAR GAMING** — "If we do X → competitor likely Y → counter-move Z"
- **FINANCIAL PROJECTION** — CAPEX, OPEX, 3-year revenue, break-even, ROI%, NPV, IRR%
- **UNIT ECONOMICS** — CAC, LTV, LTV:CAC ratio, payback period, gross margin%
- **BLUE OCEAN CANVAS** — Eliminate / Reduce / Raise / Create
- **OKR...