FAQ from Bookshelf AI
What exactly is Bookshelf AI?
Bookshelf AI transforms your existing written content — newsletters, blog series, research notes, or course materials — into a responsive, branded AI assistant. Readers engage in natural dialogue with *your* knowledge, receiving accurate, citation-ready answers pulled exclusively from your archive — not generic LLM outputs. It’s interactivity with integrity, powered by your intellectual property.
How fast can I launch my custom AI assistant?
From first login to live, embeddable chat interface: under two minutes. Upload your content, confirm indexing preferences, personalize the UI, and publish — no API keys, no dev tickets, no waiting.
What monetization models does Bookshelf AI support?
You choose how value flows: pay-per-query microtransactions, time-limited access passes, tiered subscription plans (e.g., “Basic Q&A” vs. “Deep-Dive Archive Access”), or bundled offerings with your newsletter or courses — all managed natively in your dashboard.
Does Bookshelf AI train on public internet data?
No — and that’s foundational. Your Bookshelf AI model is trained *only* on the content you upload. It never accesses, references, or cross-pollinates with external websites, search engines, or public datasets. Answers are grounded, attributable, and authentically yours.
Can I fully customize the look, feel, and behavior of my AI assistant?
Absolutely. Adjust colors, fonts, and tone-of-voice prompts. Set response length limits, enable/disable citations, configure fallback messages, and embed seamlessly into your site using lightweight JavaScript or iframe — all without touching code.