Google Slides + Gemini for your wellness stack
A surprisingly effective way to build personal health protocols and client-facing explainers directly inside your shared documents.
The final step in any research project—whether for personal health or a client—is often the most difficult: synthesis. You have the raw data from labs, the daily entries from a symptom journal, and a folder of research papers. The task is to distill this material into a coherent plan or a clear summary. This is where most of us get stuck, staring at a blank document, unsure how to structure the argument.
What it actually does
Google Slides is a presentation tool inside the Google Workspace ecosystem, and Gemini is the AI model integrated within it. While its primary function is creating slide decks, its utility for wellness comes from its ability to structure information visually and conversationally with an AI assistant. It becomes a canvas for turning raw health data into a structured protocol or a shareable client report.
- Gemini can generate text and simple layouts for slides based on a prompt, directly within the Slides interface.
- It can summarize notes or data pasted into the prompt, turning unstructured text into organized points.
- It can create images from a text description, useful for illustrating concepts in a health plan.
- Because it lives in Google Drive, it simplifies sharing and collaboration with practitioners or clients.
How I use it for personal wellness
I use Slides + Gemini to bridge the gap between my Research and Protocol layers, as defined in our 3-Layer Method. My 'Ledger' layer—the raw data from my Oura ring, blood tests, and symptom notes—lives elsewhere. When it is time to act on that data, I open a fresh deck.
For instance, after a recent blood panel, I had a PDF of my lab results and a page of notes on potential interventions. I opened a new slide deck and used the Gemini side panel. I gave it a prompt containing my key lab values (e.g., Vitamin D, hs-CRP, LDL-C) and my general goal (e.g., 'reduce inflammation and optimize lipids').
Gemini generated a multi-slide outline: one slide for the goal, separate slides for dietary changes, supplement considerations, and lifestyle adjustments. It was generic at first, but it provided a structure. I then edited each slide, adding the specific dosages from my research and pasting in screenshots of my lab results. The deck became a living document for my 90-day protocol.
How practitioners can use it
For health coaches and functional medicine practitioners, the tool is most valuable for creating client-facing artifacts that live in a shared Google Drive folder. It replaces the long, dense email that clients often struggle to parse.
A common workflow is to synthesize a client's intake form and initial lab work into a 'Plan of Action' deck. The practitioner can paste the client's stated goals and key biomarkers into Gemini and ask it to generate a starting structure. The prompt might be: 'Generate a 6-slide client-facing health plan. Client is a 45-year-old female. Goals: improve sleep latency and reduce daytime fatigue. Key data: Oura shows average sleep latency of 40 mins; morning cortisol is low on DUTCH test. Focus on behavioral and nutritional interventions.'
The AI will draft slides on sleep hygiene, evening nutrition, and morning routines. The practitioner’s real work is then to refine these, replacing generic advice with specific, evidence-based recommendations—such as suggesting 200mg of L-theanine 60 minutes before bed or a specific morning light exposure protocol to anchor the circadian rhythm. The result is a clear, visual, and easily updatable plan that the client can reference on their phone or computer.
Where it falls short
The primary limitation is the AI's knowledge base and reasoning. Gemini in Slides is a generalized assistant, not a medical AI. It cannot interpret lab results or diagnose conditions. Its suggestions are often surface-level and must be validated and specified by the user. Do not ask it 'Why is my Vitamin D low?'—instead, tell it what you want the protocol to achieve based on your own research or a clinician's advice.
- Privacy is a consideration. While Google's enterprise privacy standards apply, you are still inputting health data into a third-party system. Use discretion and anonymize where possible.
- The image generation is basic and can yield strange, uncanny results. It is best for simple icons or abstract concepts.
- It is not a replacement for a dedicated research tool. You still need to do the work of finding high-quality studies and data; Slides is for synthesizing what you have already found.
The point
Using an AI inside a slide deck for health may seem counterintuitive. But its value is not in its AI intelligence, which is average. Its value is in providing structure. It turns a blank page into a scaffold, reducing the activation energy required to build a coherent health plan from a pile of raw data. You remain the editor-in-chief, but you get a junior assistant to handle the first draft.
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