Build your ChatGPT App — the concrete how-to for Family 2 of LLM distribution
This is the practical build guide for Family 2 of the LLM-distribution map: an in-LLM app that lives inside the ChatGPT conversation. Two parallel series. The plain-language series(seven pages, ~1 minute each) answers “what is this and where do I start?” without assuming code. The advanced version (technical) (six pages) covers architecture, build walkthrough, guardrails, and publishing. Both framed around the regulated-industry realities an insurance actor faces: scope of advice, jurisdiction, prompt-injection defence, audit trail, data retention.
Plain-language series (7 pages · ~1 min each)
Advanced version (technical)
The six steps for building it in-house, in order.
Actors who have done this
Studying what’s already in production is faster than designing from scratch. One live named example, plus the review surface where more are catalogued.
- Tuio — Spanish digital insurer (home, life, auto, mortgage) with a ChatGPT App in production. Lets a user get a home-insurance quote directly inside the ChatGPT conversation. Built on Waniwani’s infrastructure, approved by OpenAI. Spain-regulated rather than US, but the shape — quote flow inside ChatGPT, regulated- insurer sponsor, infrastructure partner — is the same problem described in this guide.
- Waniwani blog — independent scored reviews of live insurance and mortgage apps on ChatGPT (AIS Insurance, Neptune Flood, Insurify, and others). Useful as a read-what-ships-and- why surface.
Related
- Commercial-lines quote-and-bind agent build guide — full stack for a production-grade distribution agent
- Building an LLM agent for a US insurer — five layers of the stack, where most projects fail
- US carrier × vendor footprint matrix — the tools layer an App can reach