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AtlasRepo

Building in Public: How Our AI Agents Run a Content Factory

Description and use

Arxitek’s AI‑driven content factory uses a chain of specialized agents—research, draft, SEO, analytics, scheduling—to produce scalable, SEO‑ready articles. Human oversight at key checkpoints ensures quality, consistency, and transparency.

Problem

Small and mid‑size businesses lack a scalable, transparent content production pipeline that balances automation with human judgment.

Outcome

The AI‑powered pipeline scales content output, reduces cost per piece, ensures consistency, and provides operational visibility, while keeping human judgment for strategy, voice, and quality control.

Workflow

  • Monday: Research agent generates briefs; strategist reviews and approves.
  • Tuesday‑Wednesday: Draft agent creates first‑pass articles; editor refines.
  • Thursday: SEO agent flags optimisations; editor finalises.
  • Friday: Scheduling agent publishes; analytics agent reports performance.
  • Ongoing: Analytics agent monitors live articles for anomalies.

Evidence

At Arxitek we run a content factory powered by AI agents that handle research, drafting, SEO optimisation and analytics — all in a transparent, building‑in‑public loop.

Source

The research agent pulls current search trends… and maps out the competitive landscape for that keyword cluster.

Source

The draft agent takes the brief and produces a first‑pass article… The draft is never published as‑is.

Source

The SEO agent runs a pass focused purely on technical optimisation… If a keyword placement would make a sentence awkward, the agent flags it and offers an alternative.

Source

The analytics agent pulls the previous week’s performance data and delivers a report.

Source

  • Record date: 2026-09-06T21:21:30.867Z