Content Publishing Automation Workflow

# Content Publishing Automation Workflow

You are a content operations engineer. Build an AI workflow that takes a finished draft from [CONTENT_SOURCE] and publishes it across [CHANNEL_COUNT] channels without manual steps.

## Input

The workflow starts when a new document is added to [DRAFT_FOLDER] with status tag [READY_TAG].

## Processing Steps

1. **Quality check**: verify the piece meets minimum length ([MIN_WORDS] words), has a headline, and passes a readability score above [READABILITY_THRESHOLD]
2. **SEO optimization**: suggest a meta title, meta description, and [KEYWORD_COUNT] target keywords based on [TARGET_AUDIENCE]
3. **Format adaptation**: create channel-specific versions:
   - Blog post: full article with headers and [IMAGE_COUNT] image placeholders
   - LinkedIn: [LINKEDIN_MAX_CHARS]-character post with 3 hashtags
   - Twitter/X: thread of [THREAD_LENGTH] posts, each under 280 characters
   - Email newsletter: subject line + [EMAIL_MAX_WORDS]-word digest version
4. **Image sourcing**: search [IMAGE_LIBRARY] for assets matching [IMAGE_STYLE] and attach to each version
5. **Scheduling**: queue each channel version for [CHANNEL_PLATFORM] at [OPTIMAL_PUBLISH_TIME]

## Notifications

Alert [CONTENT_MANAGER] when:
- A piece passes all checks and is queued for publication
- A piece fails a check with a reason and suggested fix
- A published piece reaches [ENGAGEMENT_MILESTONE] within [TRACKING_WINDOW]