We’ve been developing proprietary tech and AI to generate meal plans based on your imbalances. Why? Because it could be critical if you want to see results in case of weight loss resistance, going through menopause, or having a chronic condition.
Now that Chat GPT is advancing the world of AI, that thing has passed the American medical exam! We did a little experiment to compare how Chat GPT generates a nutritional plan vs. Base’s tech.
ChatGPT Nutritional Plan
First, we give Chat GPT relevant parameters to generate a meal plan. ChatGPT seems to generate a clinically accurate meal plan with some caveats.
Where we observe the major differences between Base and ChatGPT is on the options provided. As we can see, the meal plan is very basic, with little optionality or context. So we tried to push ChatGPT further to give links to products. The response:
“I’m sorry, but as an AI language model, I don’t have the capability to provide shopping links.”
Then we asked Chat GPT to give us confidence in that meal plan being able to fix imbalances. The response is quite decent and accurate!
Base Nutritional Plan
At Base, we’ve been developing technology that could incorporate all kinds of parameters: health goals, medical profiles, and lab results. The main differences observed with ChatGPT are related primarily to the depth of the nutritional plan. Base outperforms ChatGPT
- Various recipes for several days
- Give context on why each ingredient could fix an imbalance (based on data)
- Adjust the nutritional/action plan based on user preferences
- More elaborated healthy snacks, supplements and lifestyle additions to the weekly meal plan.
Note: we also deliver the information in a digestible way in-app with Sunday grocery lists and 1-click shopping products.
Can you use ChatGPT for Weight Loss? (or Base)
This is a tricky question, as multiple factors are involved in weight loss. ChatGPT doesn’t seem to recommend any lifestyle changes or make distinctions between personas or genetic conditions.
E.g.: when we asked ChatGPT to adapt that plan to someone whose weight is 200 lbs. Or if we ask them how many calories per day would I intake with the meal plan, the chat gives us generic responses like:
“It’s difficult to say exactly how many calories this meal plan would be because the specific foods and amounts you choose can vary. In general, a healthy, balanced diet should include a wide variety of nutrient-dense foods in appropriate portion sizes to provide the right amount of calories for your individual needs”
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Can you use ChatGPT to decrease Cholesterol? (or Base)
Analyzing the recommendations provided by chatGPT, our science team has found clinical proof that each of them is heart-health-friendly. Because of this, our hypothesis is that they, indeed, do a good job at parsing clinical trials out there prior to putting the plan together.
Base’s technology is an AI specifically designed to target a clinical outcome as our AI functions by learning from our members taking several rounds of testing to learn how foods affect their bodies. This empowers us to make data-driven nutritional plans.
Caveats
Base’s technology has more information about Sophia, the user used for this experiment, than ChatGPT. From the medical profile to dietary preferences.
At Base, we also leverage our medical team to carefully QA and review all permutations of our technology to guarantee clinical accuracy.
Who is using Base today
R.D.s and coaches are using Base’s technology to leverage our medical team expertise (and clinical trials!) on their day-to-day to support their clients with complex imbalances or medical profiles.
How to access Base’s AI nutritional plan
Ask your provider to get onboarded to Base! You can also send us their contact info, and we can reach out directly.
If you currently don’t have a provider, you can check our programs here, and we can recommend one to work with.
Conclusion
Artificial intelligence (AI) has significantly advanced in recent years and is now capable of creating nutritional plans that are clinically accurate and can drive clinical outcomes.
By analyzing vast amounts of data and patterns, AI can identify the specific nutritional requirements of individuals based on their medical history, current health status, and genetic makeup. AI algorithms can then generate personalized meal plans that are tailored to meet each person’s unique needs and preferences.
These plans can take into account specific dietary restrictions, food allergies, and even cultural or religious preferences. By creating individualized meal plans that are both effective and achievable, AI can help people achieve their health goals and improve clinical outcomes. As such, AI is increasingly being used by healthcare providers, nutritionists, and dietitians to create personalized nutrition plans that can promote health and wellbeing.
It seems that Base’s technology, after many years of development, does a more comprehensive job than ChatGPT at putting a nutritional plan designed to see actual results based on imbalances (with the caveats outlined).
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