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Concrete example: Building an agent that provides a summary of relevant articles threads on a specific topic
Concrete example: Building an agent that provides a summary of relevant articles threads on a specific topic
Hands-on: apply advanced Claude Code techniques by implementing a real AI-powered workflow using a custom command, multiple sub-agents, and Notion’s MCP server.
Tool
Learning Highlights
- 0:06
Building an end-to-end workflow with Claude Code that automatically finds articles, generates summaries, and populates a Notion database using agents and custom commands.
- 3:06
Discover how Obsidian enables local visualization of markdown files generated by Claude Code, making it easier to review and manually edit AI-generated content before publishing.
- 11:00
The key to creating reusable custom commands lies in chaining multiple agents, Article Finder locates content, Article Summarizer processes it, and Notion MCP stores results automatically.
- 15:22
Understanding why automated workflows save time and enable parallel work: Vibe Coding Academy teaches how to build AI copilots that handle research and documentation while you focus on other tasks.
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Interactive diagram used in the video
Concrete example of workflow in Claude
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