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AI Content Pipeline
AI Content Pipeline

A three-step chain that researches a topic, drafts content, and reviews it for quality before publishing.

ai manual ⏱ ~10 min setup contentaipipeline
Inputs
topic string The topic to research and write about
tone string Desired tone (professional, casual, technical)
Outputs
draft string Final reviewed content draft
review_notes string Review feedback from the final step
Steps (3)
1
Research inline

Gather background information and key points on the topic.

Research the following topic thoroughly and return a structured summary of key facts, trends, and angles: Topic: {{context.topic}} Tone: {{context.tone}} Return a JSON object with: { "summary": "...", "key_points": ["..."], "angles": ["..."] }
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on_success: next on_failure: halt
2
Draft inline

Write a content draft based on research findings.

Using the research below, write a complete content draft in the requested tone. Research summary: {{context.research_summary}} Key points: {{context.key_points}} Tone: {{context.tone}} Return a JSON object with: { "draft": "..." }
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on_success: next on_failure: halt
3
Review inline

Review the draft for quality, accuracy, and tone consistency.

Review the following content draft for quality, accuracy, and tone. Provide specific improvement notes and a final polished version. Draft: {{context.draft}} Expected tone: {{context.tone}} Return a JSON object with: { "draft": "...", "review_notes": "...", "approved": true/false }
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on_success: next on_failure: halt
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