CASE STUDY — AGENTIC PIPELINE

Agentic
Content Pipeline

Manual content production from brief to publish consumed 6+ hours per campaign with no review checkpoints or retry logic.

n8nOpenAIClaudeSlack

APPROACH

How it was built.

Built an automated pipeline using n8n AI Agent nodes, connecting OpenAI and Claude APIs with custom prompt libraries. Added retry logic, Slack notifications, and error monitoring for full observability.

RESULTS

Measured outcomes.

Verified Metrics

80% time saved per campaign cycle
Zero manual handoff steps remaining
Full retry and error monitoring deployed

Pipeline Architecture

Pipeline Flow

Brief Input → LLM Agent → Review / Retry → Slack / CMS

Stack: n8n · OpenAI · Claude · Slack · JSON Mapping

TECHNOLOGY

Built with.

n8n AI Agent nodes, OpenAI GPT-4o, Anthropic Claude, Slack webhooks, custom JSON data mapping, error/retry handling, and process monitoring.