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AtlasRepo

Building in public: how AI agents run our content factory

Описание и применение

В Arxitek 19 ИИ‑агентов выполняют рутинные задачи по созданию контента, а люди отвечают за стратегию, проверку и финальное решение, что повышает скорость и качество публикаций.

Задача

Automating content production while maintaining quality, tone consistency, and factual accuracy.

Результат

The system produces 77 pieces of content per week across multiple languages, with AI handling routine tasks and humans ensuring quality, tone, and factual accuracy.

Рабочий процесс

  • 1. Review analytics for stalled pages, missed queries, and competitor coverage.
  • 2. Researcher agent gathers topics and sources.
  • 3. Writer agent drafts articles based on structured inputs.
  • 4. Page builder agent generates SEO pages from templates.
  • 5. Analyst agent monitors data and flags issues.
  • 6. Sales assistant agent handles routine conversations.
  • 7. Human editor reviews drafts, adjusts prompts and rules, and publishes content.
  • 8. Post-publication analysis informs prompt and rule adjustments.

Доказательства

In our content factory, AI agents draft articles, build SEO pages, support sales conversations and report on analytics, while people set strategy, review the output and make the final call.

Источник

They pass structured handoffs, not vibes. When something goes wrong, we know which link broke.

Источник

Agents drift in tone. They repeat themselves across articles. They sound confident about facts they can't back up.

Источник

Automation isn't set-and-forget. It's maintenance, like any other system.

Источник

  • Дата записи: 2026-10-22T00:26:28.246Z