Lorekeeper
A spoiler-safe AI companion for serialized prestige TV shows that builds a personal wiki of characters, locations, and mysteries as you watch, with a 'rewatch refresher' before each new season.
Fans of plot-heavy serialized dramas like Severance, Westworld, Dark, and Lost who rewatch between seasons and want a private memory aid
- Episode-by-episode tracking with auto-generated character and location pages
- Spoiler-free mode that hides anything you have not yet watched
- 'Before Season 3' recap that pulls only the plot threads relevant to upcoming episodes
- Theory journal with private notes and timeline visualizations of events
Severance fans waited nearly three years between seasons and are now actively searching for lore refreshers; the gap between prestige seasons is the moment companion tools earn loyalty.
Concrete evidence of demand: Rolling Stone published a 'Cheat Sheet' recap for Severance S2 after 3-year gap, dedicated Severance wikis exist on Fandom, and recap sites (playshowgames.com) actively serve this audience.'Severance' Season 2 Cheat Sheet: What You Need to Know ↗Season 2 | Severance Wiki | Fandom ↗
Several adjacent solutions exist: Fandom wikis (free, ad-supported, no AI or spoiler-protection), NetflixGPT (open-source, unshipping), Vista (AI spoiler-free companion but discovery-focused), and Loremark (validates spoiler-safe approach but for books). AI-personalized spoiler-safe companion specifically for serialized prestige TV is a narrow niche still open.Vista | AI Movie & TV Companion ↗Spoiler-Free LitRPG Reading Companion | Loremark ↗
Monetization is unclear: Fandom ($100-500M revenue) makes money from ads but faces backlash; subscription for a 'memory aid' has weak precedent — users typically accept ad-supported wikis or free recaps, and willingness to pay for spoiler-gated AI chat is unproven.The Monetization Backlash: How Fandom (Wiki) Sites Are Losing Community Trust ↗
Prestige serialized TV remains a healthy genre with confirmed multi-season runs (Severance S3, Westworld, Dark), but demand is seasonal — spikes around new season launches and fades between, creating a feast-or-f cycle for retention.Welcome · Severance Wiki ↗
Highly feasible: open-source precedent (NetflixGPT) demonstrates the core stack works, modern LLMs handle spoiler-context filtering trivially, and LLM-powered wiki scaffolding can be prototyped quickly with episodic ingestion pipelines.GitHub - shrey150/NetflixGPT: An AI chatbot companion for spoiler-free ↗