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# Content Pipeline Research, draft, and refine content with multiple AI passes. ## Context Efficiency | Approach | Tokens Through Context | |----------|------------------------| | Direct tool calls | ~20,000 | | This skill | ~3,000 | | **Reduction** | **85%** | Research notes and drafts stay in the workflow engine. Only the final polished content enters your context. ## Usage ```typescript import { relay } from "@relayplane/sdk"; const result = await relay .workflow("content-pipeline") .step("research") .with("openai:gpt-4o") .prompt("Research topic: {{input.topic}} for {{input.audience}}...") .step("draft") .with("anthropic:claude-3-5-sonnet-20241022") .depends("research") .prompt("Write first draft based on research...") .step("refine") .with("openai:gpt-4o") .depends("draft") .prompt("Polish and finalize the content...") .run({ topic: "AI in Healthcare", audience: "Healthcare executives", contentType: "blog post", tone: "professional", length: "800 words" }); console.log(result.finalOutput); // Polished content ``` ## Models Used | Step | Model | Why | |------|-------|-----| | Research | openai:gpt-4o | Broad knowledge base, good at gathering facts | | Draft | anthropic:claude-3-5-sonnet-20241022 | Excellent writing quality and structure | | Refine | openai:gpt-4o | Good at editing and polishing | ## Estimated Cost ~$0.05-0.15 per content piece (provider costs only, RelayPlane is BYOK) ## Input Parameters | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | topic | string | Yes | The topic to write about | | audience | string | Yes | Target audience | | contentType | string | Yes | Type of content (blog, article, etc.) | | tone | string | No | Desired tone (default: professional) | | length | string | No | Target length (default: 500-800 words) |

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