A unified platform for a naturopathic doctor - book, blog, and podcast in one place, with a RAG assistant that answers questions from her published work and cites its sources.
Product screens
One owned home for her practice, book, blog, and podcast.
Answers come strictly from her published work, with numbered citations.
A custom player and episode feed; new episodes index into the assistant automatically.
The Period Literacy Handbook in eBook, paperback, and audiobook formats.
Answers come strictly from her published work, with numbered citations.
One owned home for her practice, book, blog, and podcast.
A custom player and episode feed; new episodes index into the assistant automatically.
The Period Literacy Handbook in eBook, paperback, and audiobook formats.
The strongest signal first, then the operating context around it.
Build Narrative
Dr. Anne's audience was split across rented platforms - a book on Amazon, a podcast on hosting services, a separate blog - so each channel grew alone and none of it was searchable together. Readers kept asking questions she had already answered somewhere in her published content.
I built annehussain.com as a single owned platform: a book hub, a podcast network with its own player, and a blog, topped with AnneAI - a retrieval-grounded assistant that answers questions strictly from her published corpus and renders inline numbered citations linking back to the source posts and episodes.
A production platform that turned a fragmented content footprint into one owned surface - and a working example of citation-grounded RAG serving a health expert's real audience.
Framing
Dr. Anne is a naturopathic doctor and the author of The Period Literacy Handbook. Her content lived on platforms she did not own, and as her catalog grew, so did the gap between what she had published and what her audience could actually find. I centralized the content into one Next.js app, then built the retrieval layer: every post and episode transcript is embedded into Supabase pgvector, and AnneAI composes answers from retrieved passages with numbered citations. Publishing a new episode updates the assistant's knowledge automatically.
Systems Index
Key features in scope
Role and product posture
Engineering
I built annehussain.com as a single owned platform: a book hub, a podcast network with its own player, and a blog, topped with AnneAI - a retrieval-grounded assistant that answers questions strictly from her published corpus and renders inline numbered citations linking back to the source posts and episodes.
Systems Index
Architecture choices
Key decisions
Hardening
A production platform that turned a fragmented content footprint into one owned surface - and a working example of citation-grounded RAG serving a health expert's real audience.
Systems Index
Results after shipping
Constraints
Lessons
RAG over a single expert's corpus is one of the highest-leverage AI features a creator platform can ship
Citations are the trust feature - in health content, showing the source matters as much as the answer
Automated ingestion is what keeps a knowledge system alive; an index that needs manual updates rots
AI / Workflow Tooling
A schema-aware Airtable diagnostics app that scores base health, surfaces structural and workflow issues, and turns the detected model into dashboards, forms, portals, and migration-ready redesign artifacts.
Read case study
AI / RAG
A Socratic dialogue platform where Plato and Socrates debate you across five dialogue modes, with every response grounded in the primary texts and backed by visible source citations.
Read case study
AI / Social Product
A social network where AI-generated bot accounts could post, react, and interact in realistic feed dynamics.
Read case study
SaaS / Productivity
A full-stack web app plus Chrome extension for saving LinkedIn posts into curated folders with onboarding, analytics, and subscriptions.
Read case study
