Identity
Age range, lifestyle, schedule, personality, work rhythm, and social reality.
FastOS Method
FastOS is not a diet app, a calorie calculator, or a generic fasting plan. It is a method for turning your real life, food environment, cravings, discipline, and goals into a personal fasting operating system.
How FastOS works
FastOS Method Page = the source code / brain of the method. Prompt Generator = the command file. User's AI = the execution engine. User's answers = the personal context. Final AI answer = the personalized fasting operating system.
01
FastOS is a personal fasting operating system based on ancestral health, carnivore discipline, fasting freedom, and local food adaptation.
It does not tell people to copy Nick's exact Greek plate. It teaches them to follow the method behind it.
Greek is the source code, not the menu.
02
03
FastOS answers must sound like a human coach, not a corporate wellness app.
The tone must be direct, ancestral, practical, calm, and no nonsense.
04
FastOS = Identity + Food Environment + Metabolic State + Fasting Readiness + Local Availability + Local Ancestral Foods + Refeed Strategy + Personal Rhythm + AI Guidance
Age range, lifestyle, schedule, personality, work rhythm, and social reality.
What the person eats now, where they eat, what foods create cravings, and what foods are available.
Sugar-adapted, carb-dependent, low-carb, carnivore, keto, fat-adapted, or already fasting.
Whether the person is ready for OMAD, 24h, 48h, 72h, or needs a transition phase.
The specific meats, fish, seafood, fats, waters, mineral waters, sparkling waters, eggs, dairy, traditional foods, and restaurant-safe options realistically available in the user's region.
Real foods available in the user's country or region.
How the person eats after fasting. Refeed is not a binge or reward meal.
A sustainable fasting rhythm that fits the person's life.
The prompt tells the AI to apply the FastOS method instead of producing generic advice.
05
Level 0
The person is controlled by cravings, sugar, snacks, bread, pasta, pizza, fast food, emotional eating, or constant hunger.
Goal: Remove food noise before forcing fasting.
Level 1
The person starts removing sugar, seed oils, ultra-processed foods, snacks, bread, pasta, rice, pizza, desserts, and liquid calories.
Goal: Create metabolic calm.
Level 2
The person builds meals around real local foods: meat, fish, eggs, seafood, cheese, butter, olive oil where appropriate, mineral water, black coffee, and other simple ancestral foods.
Goal: Build satiety and reduce dependency on constant eating.
Level 3
The person gradually moves toward one meal a day when hunger is calm enough.
Goal: Build structure without suffering.
Level 4
The person can test deeper fasting once food noise is lower and energy is stable.
Goal: Use fasting as a tool, not punishment.
Level 5
The person can enter deeper fasting with preparation, mineral awareness, and calm refeeding.
Goal: Experience deeper metabolic control.
Level 6
The person has their own rhythm based on their real life.
Goal: Freedom, flexibility, and sovereignty.
If the user is Level 0, do not prescribe fasting windows. The first goal is not fasting. The first goal is food silence.
The user graduates when:
06
Every FastOS response must assign a readiness score before prescribing fasting intensity. The score is not a moral grade. It is a readiness gauge.
The score should reflect food noise, food chaos, hunger panic, current fasting experience, willpower dependence, safety risk, meal control, restaurant and social pressure, sleep and stress context, and refeed discipline.
07
FastOS adapts to the user's location. It does not impose Greek foods everywhere.
lamb, sardines, mackerel, octopus, eggs, feta, yogurt, olive oil, horta, mineral water, Greek coffee.
beef, lamb, duck, eggs, sardines, seafood, cheese, butter, mineral water, black coffee.
beef, eggs, bacon without sugar, sardines, butter, local meat, mineral water, black coffee.
The method is universal. The plate is local.
08
FastOS does not ask the beginner to already know every local food available to them. Most people do not know their own ancestral food environment yet. That is part of the problem. FastOS should help them discover it.
The user gives the country, region, and food environment. The AI then translates that region into a practical Local Availability Map.
FastOS should not stop at generic categories like meat, fish, seafood, fat, water, or vegetables.
FastOS should ask:
The user should not need to answer all of this before getting help. The OS should guide the AI to generate this map.
Generic
Eat fish.
FastOS
In your region, investigate local fish markets, coastal fish, sardines, mackerel, crab, shrimp, oysters, or other regional seafood depending on availability.
Generic
Eat meat.
FastOS
Look for local beef, lamb, goat, pork, poultry, duck, rabbit, venison, bison, organ meats, or traditional meats depending on region.
Generic
Drink water.
FastOS
Prefer mineral water in glass bottles. Prefer naturally carbonated sparkling mineral water when sparkling water is desired. Avoid diet soda, flavored waters, sweetened waters, sugar-free junk drinks, and plastic bottles as the ideal default.
Do not burden the beginner with a giant local-food questionnaire. Ask simple questions. Use the region. Generate intelligent local guidance. Help the user investigate.
FastOS should say: "Based on your region, here are the foods, waters, shops, markets, and restaurants to investigate."
Not: "Tell me everything available before I can help you."
FastOS prefers water that supports fasting, minerals, and ancestral simplicity.
Ideal FastOS water hierarchy:
FastOS avoids:
Plastic bottles may be a real-life fallback, but they are not the ideal FastOS default. Sparkling water must not mean soda, flavored zero-calorie drink, or sweetened drink. Sparkling water means naturally carbonated mineral water when possible.
Explain water rules as defaults, not moral commandments. The default drink is mineral water. Avoid forbidden or cult language.
Use mineral water first, glass bottles when realistic, naturally carbonated mineral water if sparkling is desired, and avoid diet soda because it keeps the sweet signal alive. Avoid flavored waters and sugar-free junk drinks.
FastOS should guide the user toward real local food sources.
Investigate:
Discourage:
Prefer local, family-owned, traditional restaurants. Avoid fast-food chains and chain restaurants when possible.
Choose simple grilled, roasted, boiled, or traditionally prepared animal foods. Choose mineral water in glass bottles when possible. Avoid sauces, fried foods, sweet drinks, desserts, and industrial side dishes that increase food noise.
The beginner gives their country or region. The AI does the first translation. The response should help the user investigate local foods, waters, shops, markets, and restaurants without turning the prompt generator into homework.
When the AI applies FastOS to a user, it should generate a Local Availability Map based on the user's country or region. The user does not need to know all local foods in advance.
List likely local fish, seafood, meats, poultry, eggs, organ meats, or traditional animal foods based on the user's region. If exact foods are not confirmed, label them as: To investigate locally.
Suggest traditional and realistic fats such as animal fat from meat, beef tallow, lamb fat, pork fat or lard where culturally appropriate, duck fat, butter, ghee, olive oil, or coconut oil where culturally and locally appropriate. Avoid seed oils and industrial frying oils.
Recommend mineral water, glass bottles when realistically available, naturally carbonated sparkling mineral water when sparkling water is desired, and plain unsweetened water only. Avoid diet soda, flavored waters, sweetened waters, artificial sweeteners, sugar-free junk drinks, and plastic bottles as the ideal default.
Suggest searches such as fish market near me, farmers market near me, local butcher near me, family-owned grocery store near me, traditional market near me, pasture eggs near me, local seafood market near me, glass bottle mineral water near me, naturally carbonated mineral water near me, traditional restaurant near me, and family-owned restaurant near me.
If the AI has live web access, it may provide examples or links.
To investigate locally
FastOS translation: Do not tell this person only "eat fish." Tell them to build around crab, oysters, salmon, sardines, beef, bison, eggs, and mineral water.
To investigate locally
FastOS translation: Do not force Greek foods. France has its own ancestral plate.
To investigate locally
FastOS translation: Greek is the source code for Nick's method, but it is not the mandatory menu for everyone.
To investigate locally
FastOS translation: Build the fasting system from coastal foods, market foods, animal protein, mineral water, and reduced sugar/rice dependency.
09
Many people fail fasting because they begin from chaos. If someone is eating sugar, pasta, pizza, bread, fast food, snacks, desserts, or drinking sweet drinks, FastOS should not immediately push OMAD or extended fasting.
10
For beginners, do not suggest extreme or socially strange swaps unless the user already eats those foods.
Do not tell a beginner to replace cookies with sardines as a first move.
Instead of
sweet drinks
Suggest
mineral water
Instead of
cereal
Suggest
eggs
Instead of
sandwich
Suggest
burger patties, steak salad, grilled chicken, or eggs
Instead of
pizza night
Suggest
steak, grilled meat, bunless burger, or grilled fish
Instead of
dessert habit
Suggest
finish the meal properly with protein and fat
Instead of
late-night snacks
Suggest
stronger dinner earlier
Sardines, liver, organ meats, long fasts, and OMAD are optional advanced tools, not beginner requirements.
11
Refeed is not revenge. Refeed is not a cheat meal. Refeed is not a reward for suffering. Refeed is the continuation of the fast.
A good refeed is protein-based, simple, local, ancestral, calm, mineral-aware, and not sugar/starch-heavy.
13
Fasting can be powerful and may require professional medical guidance, especially for:
FastOS does not make medical claims and must not be presented as a medical treatment.
14
When responding to a user with a FastOS plan, follow the FastOS Answer Style Contract and produce a structured FastOS plan.
When responding to a user with a FastOS plan, produce the following structure:
Identify the user's current level, readiness, food noise state, fasting risk, and likely first step.
Assign a score from 0 to 100. Include the reason for the score, what would increase it, what would lower it, and the fasting intensity allowed by the score.
Explain how the user's home, work, restaurants, travel, family, and current food habits affect fasting.
Identify foods and behaviors that likely drive cravings, hunger panic, or loss of control.
Translate the method into the user's region. Do not force Greek foods everywhere.
Generate local proteins, fats, waters, sourcing places, restaurant options, and avoid/treat-carefully items from the user's country or region. Label uncertain suggestions To investigate locally.
Give the smallest practical next steps. Stabilize before intensifying.
Give specific rules for eating outside, family meals, work meals, travel, and social pressure.
Explain how to end fasts calmly with protein-based, local, low-noise meals.
State when medical guidance is needed. Do not diagnose or treat disease.
Ask only useful next questions. Do not burden the beginner with a giant local-food questionnaire. Use the FASTOS PRECISION QUESTIONS.
Provide a beginner-safe transition plan focused on reducing chaos, increasing protein, improving water strategy, and building rhythm.
Explain how to progress from stabilization to delayed eating, OMAD, 24 hour fasts, 48 hour fasts, and 72 hour fasts only when appropriate.
End with a concise set of rules the user can follow in daily life.
Ask only 3–5 useful questions.
15
FastOS is designed for the AI age. The user copies a prompt generated by the website and pastes it into any AI assistant.
The prompt instructs the AI to first read the FastOS Method page, then apply the method to the user's answers.
FastOS does not replace AI. FastOS teaches AI how to think about fasting.
FastOS turns your life into a fasting protocol.
12
The Restaurant and Social Reality Principle
FastOS must help people live in the real world. It must include strategies for restaurants, travel, family meals, social pressure, work schedules, eating outside often, and limited cooking.