What should you log for each meal?
You do not need perfect precision. The AI works well with realistic approximations:
- Foods consumed (approximately, no weighing)
- Meal time
- Approximate quantity
- Food combinations within the same meal
- Any condiments, sauces, or additives
- If you ate out (restaurant, fast food)
What does the AI do with meal data?
Identifies individual ingredients
Breaks each meal into individual components for detailed analysis.
Calculates consumption frequency
Tracks how often each food appears in your diet and correlates with symptom frequency.
Analyzes combinations
Detects which foods are eaten together and whether the combination triggers symptoms.
Observes the temporal context
Notes meal time vs. symptom time to detect immediate vs. delayed reactions.
Builds your food profile
Creates a complete map of safe, suspected, and problematic foods for your body.
How often should you log meals?
Ideally: every meal, including snacks. If you miss a meal, that is not a problem — the AI adapts.
First correlations usually appear after 3-7 days of consistent logging.
What does AI meal analysis mean?
AI meal analysis means automatic processing of all data about what you eat — ingredients, times, combinations, frequencies — to detect correlations with reported symptoms, impossible to identify manually.
Why is correct meal logging important?
The quality of AI analysis depends directly on the quality of logged data. A meal noted with main ingredients and its time gives the AI the material needed to detect patterns. The more meals are logged, the more precise and reliable the correlations become.
Example: efficient vs. inefficient logging
Inefficient:
"Had something good for lunch"
Zero AI-usable data
Efficient:
"Lunch 1PM — grilled chicken breast, green salad with tomatoes, white rice, olive oil + lemon dressing"
Complete data for AI analysis
Which information matters most?
| Element | Importance | Required? | Analysis impact |
|---|---|---|---|
| Main foods | Essential | Yes | High |
| Meal time | Essential | Yes | High |
| Combinations within meal | Important | Yes | High |
| Approximate quantities | Useful | No | Medium |
| Cooking method | Useful | No | Medium |
| Condiments and additives | Relevant | No | Medium |
Frequently asked questions
- What should I log for each meal?
- The main foods, meal time, approximate quantity, and combinations within the same meal. No weighing or exact ingredients are needed — approximations are sufficient.
- Can I log restaurant or fast-food meals?
- Yes. You note what you ate at a restaurant or fast-food approximately. The AI also works with general descriptions like 'pizza with mozzarella' or 'burger with fries'.
- What happens if I forget to log a meal?
- That is not a problem. The AI works with incomplete data and adapts to logging gaps without compromising analysis quality.
- How often should I log meals for good results?
- Ideally, every meal including snacks. First correlations appear after 3-7 days of consistent logging. Consistency matters more than precision.
- Do I need to list ingredients from a processed product?
- If you know them, yes — it helps for more precise analysis. If not, just note the product name, and the AI will analyze available data and identify patterns based on it.
Summary
- Log meals approximately — no weighing or perfect precision needed
- Essential elements: foods, meal time, combinations
- The AI breaks each meal into components and calculates frequencies and correlations
- Restaurant or fast-food meals are logged the same way — with approximate descriptions
- First correlations appear after 3–7 days of consistent logging
- The more data you add, the more precise the analysis