Building in public: how AI agents run our content factory

说明与用途

使用 AI 自动化内容需要每个代理执行狭窄任务并由人工检查，否则质量会下降。

问题

Automating content creation and sales conversations with AI agents risks quality drift, hallucinations, and handoff failures if not properly modularized and supervised.

结果

Content automation works when each agent has a narrow job and a human checkpoint; it fails when agents run unsupervised.

工作流

• 1. Agent 1 researches topic and drafts article
• 2. Agent 2 converts briefs into SEO pages
• 3. Agent 3 handles first‑touch sales conversations
• 4. Agent 4 reads analytics to suggest next topics
• 5. Human reviewers check drafts, validate sources, and approve publication
• 6. System logs failures, adds validation steps, and fixes causes

证据

In our content factory, AI agents draft articles, qualify sales conversations, generate SEO pages and read analytics, while people set strategy, review output and own decisions.

来源

Content automation works when each agent has a narrow job and a human checkpoint. It fails when agents run unsupervised.

来源

Drafts drift from our tone. Agents sometimes produce a claim that sounds right but has no source. Handoffs fail quietly when an input format changes.

来源