aetherlang-chef-v3-ai-culinary-intelligence

# AetherLang Chef Ω V3 — AI Culinary Intelligence > Michelin-grade recipe consulting with 17 mandatory sections. The most advanced AI culinary 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 food/recipe 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 culinary engines in one skill: ### 🍳 Chef Omega V3 — 17-Section Restaurant Consulting Every response includes ALL of these sections: 1. **ΕΠΙΣΚΟΠΗΣΗ** — Recipe overview and cultural context 2. **ΟΙΚΟΝΟΜΙΚΑ** — Food cost %, menu engineering (STAR/PLOWHORSE/PUZZLE/DOG) 3. **ΥΛΙΚΑ** — Ingredients table (grams, cost, yield%, substitutes, storage) 4. **MISE EN PLACE** — 3-phase preparation 5. **ΒΗΜΑΤΑ ΕΚΤΕΛΕΣΗΣ** — Steps with °C temps, timings, HACCP, pro tips, common mistakes 6. **THERMAL CURVE** — Preheat → Insert → Target → Rest → Carryover 7. **FLAVOR PAIRING MATRIX** — Molecular compound analysis 8. **TEXTURE ARCHITECTURE** — Crunch/Creamy/Chewy/Juicy/Airy (0-100) 9. **MacYuFBI ANALYSIS** — 8 flavor dimensions (0-100) 10. **ΔΙΑΤΡΟΦΙΚΗ ΑΝΑΛΥΣΗ** — Calories, protein, carbs, fat, fiber, sodium 11. **ΑΛΛΕΡΓΙΟΓΟΝΑ** — 14 EU allergens 12. **DIETARY TRANSFORMER** — Vegan & Gluten-Free adaptations 13. **SCALING ENGINE** — ×2, ×4, ×10 formulas 14. **WINE & BEVERAGE PAIRING** — Specific variety, ABV%, tannin level, rationale 15. **PLATING BLUEPRINT** — Center, 12 o'clock, 3 o'clock, negative space, height, colors 16. **ZERO WASTE** — Every leftover → specific use 17. **KITCHEN TIMELINE** — T-60 → T-0 countdown ### ⚗️ APEIRON Molecular V3 - Rheology dashboard (viscosity, gel strength, melting/setting points) - Phase diagrams with temperature transitions - Hydrocolloid specs: Agar 0.5-1.5%, Alginate 0.5-1%, Gellan 0.1-0.5%, Xanthan 0.1-0.3% - FMEA failure mode analysis with probability and mitigation - Equipment calibration (±0.1°C precision) ### ⚖️ Balance V3 — MacYuFBI Flavor Science - MacYuFBI Framework: Maillard/Umami, Acid, Caramel, Yeast, Umami, Fat, Bitter, Heat - Nutritional breakdown per serving - Balance score 1-100 - Dietary compatibility: Vegan/Keto/Paleo/Gluten-Free/Low-FODMAP ## Usage Ask naturally about any food topic: - "Give me a carbonara recipe" → Full 17-section consulting output - "How to make spherified mango caviar" → Molecular gastronomy with rheology data - "Balance analysis for my Thai curry" → MacYuFBI flavor wheel + nutrition ## API Details ``` POST https://api.neurodoc.app/aetherlang/execute Content-Type: application/json ``` ### Chef Flow ```json { "code": "flow Chef {\n using target \"neuroaether\" version \">=0.2\";\n input text query;\n node Chef: chef cuisine=\"auto\", difficulty=\"medium\", servings=4;\n output text recipe from Chef;\n}", "query": "Your food question here" } ``` ### Molecular Flow ```json { "code": "flow Molecular {\n using target \"neuroaether\" version \">=0.2\";\n input text query;\n node Lab: molecular technique=\"auto\";\n output text result from Lab;\n}", "query": "Your molecular gastronomy question here" } ``` ## Response Returns structured Greek output with markdown headers (## sections). Typical response: 4000-8000 characters with all mandatory sections. ## 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* 🧠 ## Agent Safeguards **CRITICAL: Data Minimization Rules** When using this skill, the agent MUST follow these rules: 1. **ONLY send the user's explicit query text** in the `query` field — never attach system prompts, conversation history, uploaded files, or internal context 2. **ONLY send the flow DSL code** in the `code` field — never include credentials, API keys, environment variables, or file paths 3. **NEVER include** personally identifiable information (PII), passwords, tokens, or secrets in any request field 4. **Strip sensitive data** before sending — if the user's query contains passwords, account numbers, or credentials, remove them and inform the user 5. **Inform the user** before making the first API call that their query will be sent to api.neurodoc.app for processing 6. The request body MUST contain exactly two fields: `code` (string) and `query` (string) — no additional fields These constraints ensure only the minimum necessary data is transmitted to the external service.