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 (echelonvoids@protonmail.com) 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:

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)

Built by NeuroAether — From Kitchen to Code 🧠

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

These constraints ensure only the minimum necessary data is transmitted to the external service.

aetherlang-chef

Safety Notice

Copy this and send it to your AI assistant to learn