I built an AI content agent that would rather drop a topic than make things up
Description and use
An AI agent produces fact‑based insurance articles weekly, halting when data is insufficient, with human approval before publishing.
Problem
Insurance sites need accurate, fact‑backed content; AI models often hallucinate, risking misinformation about legal obligations and coverage.
Outcome
The agent runs weekly, producing accurate drafts that are reviewed and published by a human, earning a 5/5 client review.
Workflow
- Read Google Search Console and Analytics to identify content gaps
- Select a topic from the site’s domain, ensuring no duplicate coverage
- Research the topic using a fixed allow‑list of sources (slov-lex.sk, government bodies, regulator, insurers’ sites)
- Apply a stop rule: if insufficient confirmed facts, drop the topic
- Generate the article in Slovak with Claude using only collected facts
- Run an independent AI review to detect factual errors, outdated data, invented references, and source consistency
- Save the verified draft as a WordPress draft for human review
- Human publishes or rejects the article via dashboard
Evidence
The pipeline starts by itself every Monday at 6:00 with nobody involved:
If there are not enough confirmed facts for the topic, the article is not written and the topic is dropped.
The client left a 5/5 review on the independent Slovak freelance portal Jaspravim.sk
- Record date: 2026-10-02T22:55:57.778Z