All My Parts is an AI journaling app for people in Internal Family Systems therapy. Track the parts that show up between sessions; an AI layer reads across entries to surface patterns a person might otherwise miss. I designed, built and shipped it solo, it's in paid beta now.
Internal Family Systems is a fast-growing therapy that treats the mind as a system of distinct parts, managers, firefighters, exiles, each with its own role and protection logic. Therapists routinely ask IFS clients to track those parts between sessions. Most people do it on paper or in a Notes app.
Both work, but neither makes patterns visible across weeks of entries. And every existing journaling app assumes a single self journaling alone, IFS's central premise, that the mind is plural, breaks that assumption. To do this right, the data model itself has to know about parts.
A web app where each entry is tagged with the parts that showed up, manager, firefighter, exile, and the Self-energy felt in the moment. Over time, that parts library becomes the user's personal map. An AI summary layer reads across recent entries and surfaces themes each week: which parts are most active, what triggers them, where Self-energy is breaking through.
The hard part wasn't the AI, it was the data model and the language. Calling a "manager" a manager and a "firefighter" a firefighter without sounding clinical took several rewrites. Built solo over a few months in Cursor, on Rails, chosen because the LLM-meets-CRUD shape of the app maps cleanly to convention-over-configuration.



The goal isn't to replace the therapist, it's to give the client a clearer hand-off into the next session.
All My Parts is live on the web at allmyparts.me and now on the App Store as a native iOS app, $12.99/month or $99/year. Early users skew toward people already in IFS therapy who use it between sessions, plus IFS-curious people building a self-practice.
Next is the credibility scaffolding, therapist endorsements and a small Reddit and Substack presence, before pushing on paid acquisition. It's the case study I care most about: my own product, designed and built end to end.