The Curator uses AI as a research and drafting assistant — never as an unsupervised publisher. This page explains exactly how AI is used, where humans stay in the loop, and how we guard against the failure modes AI systems are known for.
What AI does
- Ingestion. AI monitors ~40 free RSS sources across science, technology, health, business, and culture. Candidate topics are queued for review.
- Drafting. Approved topics are drafted by large language models (Google Gemini and OpenAI) against structured prompts that enforce sourcing, section structure, and reading level.
- Enrichment. Hero images are sourced from Wikipedia and Openverse with attribution preserved. Timelines, FAQs, and glossary terms are extracted from cited sources.
- Evolution. Every article is re-passed at 24h, 7d, 30d, and annual cadences to incorporate fresh data.
What AI does NOT do
- Publish without a version stamp and author assignment.
- Cite sources that do not exist. (All citations are validated against the ingested source list.)
- Make medical, legal, or financial recommendations. Educational content only.
- Impersonate real individuals, dead or living, in first person.
Human oversight
- New topics enter a moderation queue; editors approve, reject, or edit before publishing.
- Every published article has a named author profile.
- Reader corrections trigger human review and a public changelog entry.
- Automated evolution jobs are rate-limited (max 5 articles/day/brand) and logged in an admin audit trail.
Models used
- Google Gemini (drafting, evolution, translation).
- OpenAI GPT (text-to-speech, karaoke sync).
- Wikipedia REST API (facts, hero images).
- Openverse (CC-licensed media).
Data used to train models
We do not train third-party AI models on user data. Reader interactions (chats, likes, bookmarks) stay inside our platform and are used only to improve our own ranking and recommendation logic.