Wearable AI coach
Whoop Coach (WHOOP AI)
WHOOP AI documents goal-based requests and editable, removable memory. These controls support member direction, while current model-provider and processing guarantees were not fully reverified. Separate blood-pressure features are outside this Coach assessment.
Published September 8, 2026 as an AI-assisted draft. The public report separates documented facts, agency judgments and unresolved questions.
Summary judgment · 70 out of 100 toward patient-directed
WHOOP AI coaching and editable My Memory. Separate blood-pressure features and employer deployments are not treated as demonstrated Coach behavior.
Potentially agency-expanding, with third-party data flow and vendor boundary caveats
WHOOP AI documents goal-based requests and editable, removable memory. These controls support member direction, while current model-provider and processing guarantees were not fully reverified. Separate blood-pressure features are outside this Coach assessment.
Patient agency
How this tool changes agency
Explanations of personal metrics and behavior patterns can help reflection. Editable memory is not proof that users can audit causal claims or repair sensor-derived results.
Current model supplier/version, guidance provenance and data processing guarantees remain unverified
Patient agency assessment
Who sets and changes the goal?
Visible, editable personal context and goal-driven requests support member direction. Vendor coaching defaults still shape suggestions, but there is concrete capacity to change the assistant's understanding of the user.
What can the patient understand, question, or do?
Explanations of personal metrics and behavior patterns can help reflection. Editable memory is not proof that users can audit causal claims or repair sensor-derived results.
Can the patient evaluate the conditions of use?
Current privacy-provider specifics remain historical claims. An unrelated regulatory dispute cannot stand in for a finding about this deployment.
Text findings
Conditions of use
Published controls and their limits
Current privacy-provider specifics remain historical claims. An unrelated regulatory dispute cannot stand in for a finding about this deployment.
What remains unknown?
Not tested or not established
Current model supplier/version, guidance provenance and data processing guarantees remain unverified
Who evaluated this?
AI-assisted public-source draft
Vendor statements describe published conditions, not independently verified behavior. No clinical, security, accessibility, or legal validation is claimed. Earlier evidence remains dated in the report and history.
Sources checked
- https://www.whoop.com/us/en/thelocker/2026-whats-new/
- https://support.whoop.com/s/article/Privacy-Principles-Applied-to-the-AI-Powered-WHOOP-Coach
Source-specific findings and retrieval limitations are recorded in the full report.
Review provenance
Criteria
CAIHL-derived HugoScore framework and September 7 qualitative review priorities. Draft v1.2 numerical anchors remain unadopted.
Reviewer
AI-assisted public-source reassessment prepared in OpenAI Codex.
AI / model
OpenAI Codex / GPT-6
Human review
Hugo Campos authorized publication of these AI-assisted draft reassessments on September 8, 2026. This does not claim comprehensive human verification of every finding.
Review date
2026-09-08
Limitations
Current model supplier/version, guidance provenance and data processing guarantees remain unverified No live product use, patient-data upload, account creation, code audit, clinical evaluation, or independent implementation validation.
Review method
Focused public-source reassessment using CAIHL: patient authority, critical capacity, and informed control. Existing evidence plus one focused primary-source pass and at most one targeted follow-up. No live product testing. Numerical scores remain provisional editorial placements, not a new calculation.
AI-assisted draft · Moderate for goal and memory controls, limited for current third-party processing (AI-assisted draft)