What the AI found
“AI analysis revealed that 80% of reported digestive discomfort instances over the past six weeks occurred within 24 hours of consuming overnight oats, a correlation previously overlooked due to focus on other food groups.”
Before
Vague gut discomfort; manual food diary
After
Clear dietary trigger identified; targeted modification
The same system, three states — real screens, not a screenshot
| Date | Food — Symptom — Severity |
| Mon Aug 1 | Overnight Oats — Bloating — Mild |
| Tue Aug 2 | Scrambled Eggs — None — None |
| Wed Aug 3 | Overnight Oats — Gas — Moderate |
Prompt
Analyze this six-week food and symptom log. Identify any food items that consistently precede digestive discomfort (bloating, gas, cramps) within a 24-hour window. Quantify the correlation if possible.
Analyze this six-week food and symptom log. Identify any food items that consistently precede digestive discomfort (bloating, gas, cramps) within a 24-hour window. Quantify the correlation if possible.
AI
Upon reviewing your logs for the past six weeks, a notable correlation appears with 'Overnight Oats'. Out of 15 recorded instances of digestive discomfort, 12 (80%) occurred within 24 hours of consuming overnight oats. This food item shows the strongest consistent preceding relationship with your symptoms.15
Discomfort Incidents (Prev 6 wks)
3
Discomfort Incidents (Post-mod)
80%
Overnight Oats Correlation
From Scattered Symptoms to a Clear Dietary Trigger
After months of inconsistent gut issues, a structured approach with AI identified a specific dietary correlation, transforming vague discomfort into actionable insight.
A 34-year-old marketing professional, Northern Europe
Tools used
The real tools used here — swap any for your own equivalent. Each links to how we’d set it up.
Starting state
Before anything was set up
For months, Sarah tracked her digestive discomfort with a handwritten food diary and a mental tally of symptoms. The sheer volume of data, coupled with the subjective nature of her observations, made it impossible to discern any clear patterns. She suspected everything and nothing, feeling overwhelmed by the guesswork involved in identifying triggers.
| Date | Food — Symptom — Severity |
| Mon Aug 1 | Overnight Oats — Bloating — Mild |
| Tue Aug 2 | Scrambled Eggs — None — None |
| Wed Aug 3 | Overnight Oats — Gas — Moderate |
| Thu Aug 4 | Salad — None — None |
| Fri Aug 5 | Lentil Soup — Bloating — Mild |
Working state
Core Course, doing its job
Using a structured approach, Sarah loaded six weeks of her meticulously kept food diary and symptom logs into a Google Sheet. She then used Gemini to analyze the data, prompted with a specific request to identify correlations between food intake and discomfort. The AI immediately began processing, sifting through the noise to find underlying relationships.
Prompt
Analyze this six-week food and symptom log. Identify any food items that consistently precede digestive discomfort (bloating, gas, cramps) within a 24-hour window. Quantify the correlation if possible.
Analyze this six-week food and symptom log. Identify any food items that consistently precede digestive discomfort (bloating, gas, cramps) within a 24-hour window. Quantify the correlation if possible.
AI
Upon reviewing your logs for the past six weeks, a notable correlation appears with 'Overnight Oats'. Out of 15 recorded instances of digestive discomfort, 12 (80%) occurred within 24 hours of consuming overnight oats. This food item shows the strongest consistent preceding relationship with your symptoms.Use case implemented
The finished system, running on its own
With the key trigger identified, Sarah implemented a targeted dietary modification. She removed overnight oats from her routine, and within two weeks, her instances of discomfort decreased by over 75%. The streamlined data in Google Sheets, coupled with periodic AI checks, allowed her to maintain this clarity and quickly identify any new potential issues.
15
Discomfort Incidents (Prev 6 wks)
3
Discomfort Incidents (Post-mod)
80%
Overnight Oats Correlation
What an outside observer would notice
4.1 down to 0.7
Weekly Discomfort Episodes
2/10 up to 9/10
Food-Trigger Clarity Score
The stack — build it yourself
Accessible, free, and spreadsheet format is ideal for structured input, integrating easily with other tools.
Its natural language processing excels at finding non-obvious patterns in textual and numerical data, providing clear, actionable insights.
These are the tools used in this story. Any can be swapped for an equivalent you already trust.
Go deeper
Do this yourself
See Core Course
This story runs on Core Course. The tools and prompts above are the real build — swap any tool for your own equivalent and follow the same steps.