Content Pipeline

Architecture and workflow for automated content transformation — from raw source material to published, distributed content.

Pipeline Stages

1. Ingestion — collect content from various sources (social media, RSS, APIs)
2. Classification — categorize content by topic, format, and priority
3. Research — enrich with background context, related data, and supporting information
4. Transformation — rewrite, adapt, or reformat for the target platform
5. Quality Gate — automated checks for accuracy, style, and completeness
6. Publication — distribute to target platforms (blog, newsletter, social media)

Design Principles

Step Classification

Every pipeline step is classified as either critical (failure stops the pipeline) or enhancer (failure degrades quality but allows continuation).

Quality Gates

Hard gates prevent publication of content that doesn't meet minimum quality standards. These are enforced by code, not by prompt instructions.

Observability

Every step logs metadata, processing time, and quality scores. LLM operations include token usage and cost tracking.