The Original Problem
Fiction writers with lore-heavy manuscripts face an impossible choice at each stage of publication: preserve everything in the private draft and risk a bloated ungoverned mess, or strip the work down for readers and lose creative history, glossary, and worldbuilding context permanently. No existing platform manages the relationship between manuscript, glossary, reader comprehension, and export channel as a single integrated layer.
The Creative / Product Insight
Model the manuscript and the publishing path as separate objects with an explicit assembly step between them. The Writers Edit is the author's private, exuberant, maximal source — it never has to ship. The Showcase Edition is a deliberate selection of chapter variants and access states assembled from that source. The glossary is not a word list but a managed lexicon layer that travels with every export and renders differently depending on the destination. This separation is the moat: no other tool answers where does this term appear, when is it safe to explain it, did readers understand it, and how should it render on Kindle versus submission.
The Role of AI Agents
Claude Code drove the full-stack build — Next.js app architecture, Supabase schema design (16 tables, 29 RLS policies, 4 storage buckets, app_private helper functions), Stripe subscription and per-chapter commerce wiring, the living glossary import and corpus-mapping pipeline, the invite-token access system, the plan-limits enforcement layer, the export rendering engine, and a comprehensive Vitest unit test suite across core library modules. The design system — a distinctive manuscript-and-marginalia aesthetic with vellum surfaces, obsidian identity areas, and verdigris glossary ink — was also built through Claude Code sessions from a brand-foundations brief.
The Human-in-the-Loop Decisions
All product decisions were the founder's: the fiction staging platform category, the Writers Edit and Showcase Edition architecture, the per-chapter beta-read commerce model (NZ$5 per chapter, 0% platform commission at launch), the access and visibility matrix (public, unlisted, invite-only, paid, subscriber, private), the decision to rate-limit all feedback writes from day one, the AI disclosure covenant system, and the choice to produce a complete design system with its own CSS token layer before writing a single application component. Claude executed each technical sprint; the founder directed every product, pricing, and architectural decision.