
What it is
The Publishing Pipeline is the invisible infrastructure that converts raw experiments into polished content, automating every step from DGX training runs to social media posts.
The Flow
- Experiment runs on DGX Spark, logs and metrics captured
- Sync transfers results to MacBook via rsync
- Session Tracking captures Claude Code conversation context
- Blog Generation drafts posts from experiment data
- Social Automation creates LinkedIn/Twitter summaries
- Publish pushes to Substack with one command
Key Components
- DGX Dashboard: Web interface monitoring training jobs
- Session Recall: Semantic search across Claude Code history
- Slash Commands: 19 commands for content operations
- MCP Servers: Social media posting from Claude
The Meta-Recursion
This pipeline documents itself. Posts about automation are published through the automation. The system that generates content is itself documented in that content.
Why It Matters
Content creation is a bottleneck for knowledge sharing. By automating the mechanical parts, the pipeline frees mental energy for the creative parts: the insights, the analysis, the narrative.
Technical Details
- Shell scripts for orchestration
- rsync for file sync with checksums
- Obsidian for content management
- Claude Code for generation and editing
The Result
What used to take hours now takes minutes. Every experiment becomes a potential blog post without the friction of manual content creation.
Connected work
What it touches
Builds on
MCP Server Collection
Social media automation via Model Context Protocol
Read the story →
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