AetherLang Strategy Ω V3 — Nobel-Level Business Intelligence

Name: AetherLang Strategy V3
Availability: InStock
Rating: 5 (92 reviews)
Author: contrario

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

Source Code: 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 GENERATOR — Objectives & Key Results
KPIs — Leading & lagging with min/target/stretch
NEXT ACTIONS — 3 things for TODAY

📊 Market Intel V3

TAM/SAM/SOM with € values and CAGR%
Category design (create new vs compete)
Porter's 5 Forces analysis
Customer segmentation with WTP and LTV
Pricing elasticity and optimal price point
Network effects and viral coefficient (K-factor)
Distribution matrix (Direct/Partners/Marketplace)

💼 NEXUS-7 Consult V3

Causal loop diagrams (reinforcing/balancing loops)
Theory of constraints (Bottleneck → Exploit → Subordinate → Elevate)
Wardley Maps (Genesis → Custom → Product → Commodity)
ADKAR change management with timeline
Anti-pattern library with historical failure rates
System dynamics modeling

Usage

Ask naturally about any business/strategy topic:

"Strategy for AI OCR platform in Greece with €1000 budget" → Full APEX analysis
"Market analysis for Greek food delivery apps" → TAM/SAM/SOM + competitive landscape
"How to scale my SaaS from 0 to 1000 users" → NEXUS-7 consulting with Wardley maps

API Details

POST https://api.neurodoc.app/aetherlang/execute
Content-Type: application/json

APEX Strategy Flow

{
  "code": "flow Strategy {\n  using target \"neuroaether\" version \">=0.2\";\n  input text query;\n  node Guard: guard mode=\"MODERATE\";\n  node Engine: apex analysis=\"strategic\";\n  Guard -> Engine;\n  output text report from Engine;\n}",
  "query": "Your strategy question here"
}

Market Intel Flow

{
  "code": "flow Market {\n  using target \"neuroaether\" version \">=0.2\";\n  input text query;\n  node Engine: marketing analysis=\"competitive\";\n  output text report from Engine;\n}",
  "query": "Your market question here"
}

Response

Returns structured Greek output with markdown headers. Typical response: 4000-8000 characters covering all mandatory sections with quantified data.

Languages

Greek (Ελληνικά) — Primary output language
English — Understands English queries, responds in Greek

Technology

AI Model: GPT-4o
Backend: FastAPI + Python 3.12
Rate Limit: 100 req/hour (free)

Built by NeuroAether — From Kitchen to Code 🧠

AetherLang Strategy V3