
Hunter's Holistic Health
A live functional medicine education platform with privacy-first tools, daily tracking, and a structured member experience.
React · Supabase · n8n · VercelInspect the buildI Can Teach You AI, with Dr. Shallanda Hunter
I teach healthcare professionals to build practical, compliance-conscious AI systems because I build and test them every day. Workshops for hospitals and schools, one-on-one sessions, and custom workflow builds, all designed so AI never touches protected health information.

Claude Code · n8n · React · Supabase · Apps Script
I teach from systems I have designed, built, and maintained.

A live functional medicine education platform with privacy-first tools, daily tracking, and a structured member experience.
React · Supabase · n8n · VercelInspect the build
Pain pointWhen reminders and check-ins rely on manual outreach, consistency becomes difficult to sustain.
A scheduled system delivers fasting-window reminders, supplement prompts, and an energy check-in across the member app and Telegram. This personal demonstration keeps the bot name private.
n8n · Telegram · Push notifications
340+ scenario-based pharmacy law questions with school access, OTP verification, and progress tracking.
JavaScript · Apps Script · AirtableInspect the buildA browser extension built to detect and mask identifiers before text enters an AI workflow.
Chrome Extension API · JavaScript
A scheduled AI brief turns non-clinical operational signals into a concise review point. The public preview intentionally hides message contents.
n8n · Gmail · Telegram · Calendar
A scheduled workflow moves approved operational signals through summarization, task extraction, and calendar routing. Account sources are redacted in the public view.
n8n · AI summarization · Telegram · Calendar
A routing layer organizes early-access, support, and feature-request messages before a team acts. Clinical handling is excluded from this public preview.
n8n · Google Sheets · Email226 practice questions sourced from official Anthropic documentation. Not affiliated with Anthropic.
React · TypeScript · StripeInspect the buildAI writes much of the code. Knowing the workflow, keeping patient data out, and testing decide whether the result is safe to use.
Map the decisions, risks, and repetitive work before choosing a model or automation tool.
Decide where each kind of data is allowed to go before building anything. Patient information stays in a separate, covered system.
Use Claude Code, n8n, Supabase, Apps Script, and the smallest stack that can do the job reliably.
Check permissions, edge cases, mobile behavior, accessibility, and the handoff before calling it shipped.
Every system I build keeps patient information in its own covered lane. This is how a message moves through it.
Signups, support questions, and feature requests go through Lane 1. None of it is patient health information.
A message about a patient's care stops here. No automation moves it to Lane 2.
A staff member reviews it and moves it to the clinical lane by hand.
Sessions are built around the workflows your team already has.
Learn to identify safe use cases, draw the data boundary, and turn a repetitive workflow into a working system.
Hands-on workshops connect AI literacy to the policies, workflows, and decisions your staff already manages.
Learn how to direct Claude Code, structure context, inspect output, and ship software you can explain.
I run two production apps, a Chrome extension, an exam prep product, and a consulting service. Here is the exact automation stack behind all of it.
Read the build note 02My Stack · Aug 16, 2026If you are automating workflows for a health practice, where your automation runs matters as much as what it does. Here is why AWS plus a BAA is the right hosting decision.
Read the build note 03My Stack · Aug 14, 2026Pharmacy Decoder serves 340 exam questions with OTP verification and student tracking. The entire backend is Google Apps Script. Here is why that is the right choice.
Read the build noteNot seeing your question? Email hello@icanteachyouai.com.
I Can Teach You AI is AI training for healthcare professionals, taught by Dr. Shallanda Hunter, PharmD. It offers live workshops for hospitals, pharmacy and nursing programs, one-on-one AI integration sessions, custom workflow builds, and Claude Code exam prep, all grounded in HIPAA-conscious design and products that are already running.
Every workshop and session is taught by Dr. Shallanda Hunter, a licensed pharmacist (PharmD, MBA, CFNMP) who builds and maintains live healthcare software with AI tools, including Hunter's Holistic Health, Pharmacy Decoder, DeIDGuard, and a Claude Code certification prep product. You learn from the person who ships.
No. The training is built for pharmacists, nurses, physicians, educators, and administrators with no coding experience. You learn to direct tools like ChatGPT, Claude, Claude Code, NotebookLM, Perplexity, and n8n, and to recognize which workflows are safe to automate and which must stay with a human.
The training teaches the Two-Layer Architecture: administrative and educational work in one lane, protected health information in a separate covered lane. You leave knowing which consumer AI tools can never touch PHI, which vendors sign a BAA, and how to draw that boundary in your own workflows.
Email hello@icanteachyouai.com with your organization, audience size, and preferred dates. Workshops run virtually or in person as a half day (3 hours) or full day (6 hours), with a custom curriculum for pharmacy, nursing, functional medicine, or hospital administration teams.
Book a hands-on workshop, a build session, or a focused conversation about a healthcare workflow.