Agent Oracle 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.
Related
Exactly where machine assistance sits in our workflow
Selection
Topic selection is human. Candidate subjects come from recurring questions in sessions, gaps between existing articles, and terms the knowledge engine references but does not yet define. A model may cluster those signals; it does not decide what is worth publishing.
Anything that survives selection is scoped by hand — what the piece will claim, which readers it is for, and what would make it wrong. That brief is written before drafting starts.
Research and drafting
Research is AI-assisted against public sources, with every factual claim traced back to something linkable before it can stay in the draft. Unsupported assertions are removed at this stage rather than softened.
First drafts are machine-generated from the human brief. They are treated as raw material: the structure usually survives, the specifics frequently do not, and passages that read well while saying nothing are cut.
Editing, checking and approval
Editing is human and adversarial. The editor's job is to find the sentence that cannot be defended and either source it, qualify it or delete it. Worked examples are recalculated rather than trusted.
The publisher approves publication. The automation can prepare and queue, but it cannot push a page live, which is the single control that keeps volume from overtaking standards.
Images, media and evidence
Cover images are licensed photography rather than synthetic composites, chosen per article so a listing page does not repeat the same illustration. Where a diagram would mislead if approximated, we do not publish one.
Embedded reference videos are third-party material chosen for relevance and labelled as external. They are supporting evidence, not a substitute for the argument in the text.
Maintenance after publication
Published pieces are revisited when the surrounding material changes or a reader reports a problem. Revisions carry a version indicator so a returning reader can tell an update from a reprint.
Pieces that no longer meet the current standard are rewritten or removed rather than left in the index. The archive is meant to be a record we would defend today, not a log of everything we ever posted.