The Pipeline
Every piece of content Mynd produces follows the same path:
Signal → Brief → Draft → Adapt → Publish
Each stage is handled by a different AI component. No stage knows or cares about the others. They communicate through structured data.
Stage 1: Signal Detection
The Signal Scanner polls 11 data sources every 4 hours: news APIs, RSS feeds, social listening, Google Trends, and domain-specific monitors. Each signal gets scored on relevance, timeliness, and audience fit.
Only signals above a configurable threshold advance to the next stage.
Stage 2: Brief Generation
A signal is not a story. The Brief Generator takes a raw signal and produces a structured content brief: angle, target audience, key points, tone, and suggested format.
This is where editorial judgment lives. The brief determines what kind of content gets made.
Stage 3: Content Drafting
The Content Engine receives the brief and produces a full draft. It respects your brand voice, formatting preferences, and topic boundaries — all learned from your past approvals and rejections.
Stage 4: Platform Adaptation
One draft becomes many formats. The Content Adapter reshapes the draft for each platform: LinkedIn post (professional tone, 1300 chars), X thread (sharp, concise), blog article (SEO-optimized, long-form), and Instagram caption.
Stage 5: Publishing
The Publisher pushes content to Buffer, which handles scheduling and posting. Each publish attempt is logged with success/failure tracking per platform.
The Result
From signal detection to published post: 90 seconds average. Zero manual steps. Full audit trail.
The human stays in the loop through an approval queue — review what Mynd produces, approve or reject, and the system learns.
Auto-generated by Mynd AI Content Engine