AI + WHOOP: How to actually use your wearable_companion data to understand your health.

WHOOP gathers extensive data on your recovery, strain, and sleep, but raw numbers often remain unexamined. Most users interact with the app's summary, missing deeper insights within their own records. By layering a small AI stack, you can transform this raw data into meaningful, personalised understanding of your health patterns.

Four tools, one workflow

  1. 01

    WHOOP

    Data source.

  2. 02

    Your chat assistant (ChatGPT/Claude/Gemini)

    Interpretation + Q&A on your exported data.

  3. 03

    Your notebook tool (NotebookLM)

    Long-context synthesis across weeks of exports + your own notes.

  4. 04

    An agent / scheduled action

    The weekly nudge, the summary email, the protocol reminder.

What WHOOP actually gives you

WHOOP provides a continuous stream of physiological data. This includes heart rate variability (HRV), resting heart rate (RHR), sleep stages (REM, deep, light), respiratory rate, and skin temperature. From these raw inputs, the app calculates proprietary metrics such as Recovery Score, Strain Score, and Sleep Performance. You can view daily, weekly, and monthly trends directly within the WHOOP application. While the app offers summaries and coaching tips, a richer understanding often requires looking at the raw or near-raw data points. WHOOP allows you to export your data in CSV format, which typically includes detailed daily summaries of these key metrics. This export facility is crucial for bringing your data into external tools. Certain visualisations or granular real-time stream data remain within the app interface, but the daily aggregates—the most relevant for trend analysis—are available for download. Understanding what is exportable versus app-bound helps in planning your data analysis strategy.

The stack we recommend on top of WHOOP

To truly leverage your WHOOP data, we advocate a multi-tool approach that extends beyond the app itself. This 'stacking' method enables deeper analysis and personalised insights. Your WHOOP application serves as the primary data source, continuously collecting and housing your physiological information. Sitting atop this is your chat assistant (such as ChatGPT, Claude, or Gemini). This tool's role is immediate interpretation and pattern recognition within your weekly data exports. For longer-term analysis and synthesis, your notebook tool (like NotebookLM) is essential. It acts as a personalised knowledge base, storing multiple weeks of data exports and any qualitative observations you add. This allows for long-context understanding across months, identifying overarching trends that wouldn’t be apparent in weekly snapshots. Finally, an agent layer—which could be a scheduled action, a custom GPT, or a workflow automation tool—provides the rhythmic structure. This layer ensures you receive prompts for data export, summarises your weekly insights, or reminds you of your established protocols. This comprehensive setup embodies our 3-Layer method: Research (data collection and initial analysis), Ledger (accumulated insights in your notebook), and Protocol (actionable steps and reminders).

A weekly ritual you can actually keep

A consistent weekly ritual is key to making sense of your WHOOP data. Designate a specific day each week – perhaps Sunday evening or Monday morning – as your 'data day'. On this day, begin by exporting your latest week's data from WHOOP. Copy this exported data into your chat assistant along with a specific prompt, asking it to identify significant changes or trends compared to previous periods. Document any notable findings or personal observations from the week into your notebook tool. This might include stressful events, changes in diet, or new training regimens. The notebook tool becomes your long-term record, synthesising your WHOOP metrics with your life context. If your chat assistant or notebook tool flags persistent anomalies or concerning trends—for example, several weeks of significantly lower HRV or disrupted sleep despite consistent habits—this is your signal to consider escalating. Compile a structured summary of these observations using a practitioner-handover prompt, which you can then take to your doctor, coach, or other healthcare professional for their expert interpretation and guidance.

What this stack will NOT do

It is crucial to understand the limitations of a WHOOP and AI stack. This system will not provide medical diagnoses, nor should it replace professional clinical care. While it can highlight patterns and anomalies, it cannot tell you the underlying cause of health changes or prescribe interventions. It is not designed for closed-loop dosing or immediate, critical health alerts. The intelligence derived from this stack is based on correlation and pattern recognition from your personal data, not medical expertise. It cannot interpret laboratory results or imaging, nor can it account for the complexities of individual medical history. Its purpose is to empower you with information for informed conversations with healthcare providers, not to supplant their role. Always consult with a qualified professional for any health concerns or before making changes to your medical regimen.

Three prompts you can use today

Paste each into the chat assistant you already use, along with this week’s WHOOP export.

Weekly read-out prompt

You are an intelligent assistant specialising in physiological data analysis. I will provide my WHOOP data export for the past week. Your task is to summarise the week's key metrics (Recovery, Strain, Sleep Performance, HRV, RHR, Respiratory Rate, Skin Temperature). Look for any notable deviations from my recent average (the past month, if available) and flag them without making causal assumptions. Focus purely on data trends and numerical changes, presenting them in a clear, concise bulleted list. Do not offer medical advice or suggest interventions.

Spot-the-anomaly prompt

Analyse the provided WHOOP data for the latest week. Compare it rigorously against the data from the previous four weeks (which I will provide in separate inputs). Identify any metrics where the current week's average falls outside the typical range or trend established over the preceding month. Specifically, highlight anomalies in Recovery Score, quality of sleep stages, significant shifts in HRV, or consistent elevations in RHR. Present these as isolated observations. Do not connect them to potential causes, diagnose conditions, or provide health recommendations.

Practitioner-handover prompt

Draft a concise summary based on my WHOOP data for the past week and any identified anomalies compared to the previous month. This note is for my general practitioner or coach. Focus on objective data points: my average Recovery, Strain, and Sleep Performance, and any consistent deviations in HRV, RHR, Respiratory Rate, or Skin Temperature. Present the information as a factual summary of physiological trends observed. Exclude any personal interpretations or self-diagnoses. The goal is to provide a clear, aggregated overview for a professional review.

Before you paste anything

  • Never paste identifiable health information of others.
  • Do not input raw lab results with personal identifiers.
  • AI output is for information, not medical diagnosis.
  • Protect your privacy; use reputable, secure AI tools.
  • Always consult a professional for health concerns.

Common questions

Do I have to leave WHOOP to use this?+

No, you continue to use WHOOP as your primary data collection tool. This method enhances your interaction with the data it already provides, rather than replacing it.

Which chat assistant should I pick?+

The best choice depends on your preference for features, privacy settings, and cost. ChatGPT, Claude, and Gemini are all capable. Focus on one that suits your workflow and data privacy comfort.

Is my data safe when I paste it into AI?+

Data privacy varies by tool. Use AI platforms that clearly state how they handle your data and confirm they do not use your inputs for training unless explicitly opted-in. Always review their privacy policies.

Can this replace my doctor?+

Absolutely not. This stack is a tool to help you understand your data better and facilitate more informed conversations with your healthcare provider. It does not offer medical advice, diagnosis, or treatment.

Get the full step-by-step guide for WHOOP

This page is free and stays free. The companion playbook expands it into a one-time stack setup, a 15-minute weekly workflow, every copy-paste prompt, the safety checklist and the full FAQ — formatted to keep and reuse week after week.

  • One-time stack setup (chat + notebook + automation)
  • Weekly workflow you can run in 15 minutes
  • All analysis prompts, ready to paste
  • Safety notes for sharing wellness data with AI

Included in every Wellness & AI membership and the standalone Library Pass.

Want the method behind this stack?

The free 10-day email challenge teaches the same Research → Ledger → Protocol method on whatever data you already collect.

Other apps, same method

Each guide applies the 3-Layer method to a different wellness app.

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Keep building your stack

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