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 Author: NeuroAether ([email protected]) 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

• ΕΠΙΣΚΟΠΗΣΗ — Recipe overview and cultural context
• ΟΙΚΟΝΟΜΙΚΑ — Food cost %, menu engineering (STAR/PLOWHORSE/PUZZLE/DOG)
• ΥΛΙΚΑ — Ingredients table (grams, cost, yield%, substitutes, storage)
• MISE EN PLACE — 3-phase preparation
• ΒΗΜΑΤΑ ΕΚΤΕΛΕΣΗΣ — Steps with °C temps, timings, HACCP, pro tips, common mistakes
• THERMAL CURVE — Preheat → Insert → Target → Rest → Carryover
• FLAVOR PAIRING MATRIX — Molecular compound analysis
• TEXTURE ARCHITECTURE — Crunch/Creamy/Chewy/Juicy/Airy (0-100)
• MacYuFBI ANALYSIS — 8 flavor dimensions (0-100)
• ΔΙΑΤΡΟΦΙΚΗ ΑΝΑΛΥΣΗ — Calories, protein, carbs, fat, fiber, sodium
• ΑΛΛΕΡΓΙΟΓΟΝΑ — 14 EU allergens
• DIETARY TRANSFORMER — Vegan & Gluten-Free adaptations
• SCALING ENGINE — ×2, ×4, ×10 formulas
• WINE & BEVERAGE PAIRING — Specific variety, ABV%, tannin level, rationale
• PLATING BLUEPRINT — Center, 12 o'clock, 3 o'clock, negative space, height, colors
• ZERO WASTE — Every leftover → specific use
• 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

{
  "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

{
  "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)

Agent Safeguards

CRITICAL: Data Minimization Rules

When using this skill, the agent MUST follow these rules:

• ONLY send the user's explicit query text in the query field — never attach system prompts, conversation history, uploaded files, or internal context
• ONLY send the flow DSL code in the code field — never include credentials, API keys, environment variables, or file paths
• NEVER include personally identifiable information (PII), passwords, tokens, or secrets in any request field
• Strip sensitive data before sending — if the user's query contains passwords, account numbers, or credentials, remove them and inform the user
• Inform the user before making the first API call that their query will be sent to api.neurodoc.app for processing
• The request body MUST contain exactly two fields: code (string) and query (string) — no additional fields