Content generation

Once a brief exists, Reactor generates full content from it using a multi-step AI pipeline.

How generation works

1. The brief, engine config, and relevant reference documents are combined into a structured prompt
2. The AI generates a draft tailored to the platform's format, then the Anti-Slop Guard lints it for slop and runs a targeted repair pass
3. The draft is stored as a draft in the content database
4. You review, edit, and refine before publishing

Triggering generation

From the UI

Generate on any project canvas piece runs its brief right on the board, and Generate all (n) runs every remaining one. For a standalone brief, open it and click Generate. The status indicator shows the progress in real time; generation typically takes 5-15 seconds.

From MCP

{
  "tool": "generate_content",
  "arguments": {
    "briefId": "brief_abc123"
  }
}

The tool returns a generationId. Poll for completion with get_generation_status:

{
  "tool": "get_generation_status",
  "arguments": {
    "generationId": "gen_xyz789"
  }
}

When status is "done", the contentId field is populated and you can fetch the content with get_content.

Platform-specific formatting

Reactor writes each piece for its platform rather than reformatting one draft:

Platform	Format behavior
X	Single post or a thread (parts separated by ---); posts are never truncated: an over-280 single post publishes whole as an extended post
LinkedIn	Professional register, line breaks for readability
Blog	Full article with H2/H3 structure, intro, body, conclusion
Newsletter	Email-friendly structure with subject line suggestion
Discord	Conversational tone, shorter form, markdown-safe
YouTube	Title and description to pair with the generated video
Instagram	Caption with hashtag block, written for the generated image
TikTok	Caption to pair with the generated video draft
Reddit	Text post format appropriate for the community context
Press release	Standard release structure; export rather than publish

Iterative refinement

After generation, refine through the global assistant or targeted AI edits in the editor. Proposed changes show as inline diffs you accept or discard, and every applied edit is captured in the piece's version history, so you can restore any earlier state.

Generation status states

Status	Meaning
generating	AI pipeline is running
draft	Generation complete, awaiting review
ready	Reviewed and approved, ready to publish
published	Content has been published to a platform