AI automation
Connect models, tools, and business processes into reliable automation systems.
ZJ Technical Knowledge Base · Continuously evolving
Document how real problems are solved, distill reusable methods, and connect individual notes into a knowledge network that grows over time.
Less attention to the feed, more focus on practices that enter real workflows and remain reusable.
Connect models, tools, and business processes into reliable automation systems.
Capture real decisions across architecture, development, testing, and delivery.
Build a practical reference for workflow design, integrations, operations, and debugging.
Explore Markdown, Obsidian, knowledge graphs, and sustainable writing workflows.
Share practices for open collaboration, project maintenance, and reusable tools.
How knowledge develops
Articles begin with real tasks, failures, and engineering decisions—not copied concepts.
Executable steps, constraints, and evidence make each conclusion reproducible.
Categories, tags, and WikiLinks preserve context and prevent isolated notes.
START HERE
Learn the scope of this knowledge base, then see how standard Markdown is published from Obsidian.
The content and code are maintained openly on GitHub. Use Discussions to ask questions, add examples, or suggest topics.