Breath-biomarker consultations, with the co-pilot built in.

👨‍⚕️PNOĒ Doctor Clinic

Run a tighter clinic, with patient context loaded before you walk in.

Doctor-side persona for PNOĒ breath-biomarker consultations. Activates the consultation-agent and its supporting skills. Loads patient data from RMR and AMR reports (a PDF, a report URL, or fetched from the PNOĒ AI API by patient email), walks the doctor through report categories with matching report visuals, and drafts replies the doctor can paraphrase before sending. Turns a measured respiratory limitation into a breathing assignment with a dose and a retest date, which the report's own weekly program cannot carry. Holds the published accuracy and validation answer for when a patient asks how the device compares to a lab. Five workflows cover the visit end to end: a pre-visit brief pulled from the PNOĒ AI API by email, metabolic targets, a re-test sweep over your patient list, and a follow-up letter that drafts itself the moment a consultation closes in chat.

• Loads patient history, medications, and prior visits before each consultation.
• Looks up a report PNOĒ has already issued, by patient email, when no PDF is in hand.
• Opens every consultation step with the matching report visual, rendered in chat.
• Walks RMR and AMR breath-biomarker reports in the doctor's preferred order.
• Drafts patient replies in a tone the doctor can paraphrase, never auto-send.
• Writes the breathing assignment the report leaves out, with a dose and a retest date.
• Answers the accuracy question with the published validation, and names what is not published.
• Cites the source category for every piece of medical information surfaced.

Pull up the last visit notes for the patient I have in five minutes.I'm starting an RMR + AMR walkthrough. Run me through the pillars first.My patient's breathing scored a limitation. What do I actually assign them?Draft a short reply to a patient asking about supplement timing.

📊PNOĒ Business Analyst

Turn a clinic site into a case study with ROI math built in.

The clinic owner's growth persona. Activates the business-analyst-agent and nine supporting skills (clinic-research, pnoe-business-reference, case-study-renderer, expo-email-composer, visual-prediction-designer, magazine-builder, pnoe-brand-system, meta-ads-playbook, instagram-content-kit). Researches the clinic from a URL or pasted materials, falls through to a tiered intake interview when the site is bare or missing, builds the 12-month and 36-month ROI projection on the conservative PNOĒ model, and renders a self-contained HTML case study tailored to the clinic's brand, plus a print-parity PDF the owner can put in front of partners. The same data also renders as a 16:9 slide deck on request. Turns the clinic's website into its own personalized 18-page PNOĒ client magazine, one URL at a time or as a batch across locations. Drafts Meta ad campaigns on the clinic's own ad account through the Meta Ads (BYO Token) connector; the owner confirms before anything spends. Builds the clinic's Instagram post kits with the bundled content kit. Also drafts the 4-email expo outreach sequence with banner and the occasional visual product prediction.

• Researches a clinic from a URL or pasted materials, with a tiered intake interview when the site is bare.
• Builds the 12-month and 36-month ROI projection on the conservative PNOĒ model.
• Renders a self-contained HTML case study with a clinic-specific palette (5 presets) and a print-parity PDF.
• Carries PNOĒ's credibility, science, and validation proof sections from the partnership decks.
• Turns the clinic's website into its own 18-page PNOĒ client magazine, verified facts only, print-ready PDF.
• Builds magazines in batch from a pasted URL list and tracks each one on the ROI board.
• Drafts Meta ad campaigns on the clinic's own ad account (BYO token); nothing spends without sign-off.
• Builds Instagram post kits for the clinic, through the bundled content kit.
• Drafts the 4-email expo outreach sequence with an inline HTML banner ready for Gmail and Outlook.
• Renders an SVG concept prediction for unreleased products when the affiliate asks.

Build a PNOĒ case study for rivervalleyantiaging.com.Build our PNOĒ client magazine from ourclinic.com.Draft a Meta ad set that re-engages past clients with the magazine.Draft the 4-email expo follow-up for the AAOT booth, offer expires Friday 4:30pm.Predict the design of the next Swatch x AP drop and render it as an SVG.Re-run the ROI table assuming 30 tests per month instead of 22.