4 articles exploring automation
A journey building issue-search-skill: capturing errors once, retrieving solutions forever. Local-first knowledge management that resolves recurring issues 12x faster.
Why one-off prompting does not compound, and how to move from isolated prompts to repeatable AI workflows using playbooks, MCP data sources, and action layers.
The MCP servers that matter most for real AI leverage: analytics, email, calendar, GitHub, databases, observability, SEO, social, docs, and file storage. Plus practical playbooks for turning them into repeatable workflows.
The tech worked perfectly. The people side broke. How we moved from "automate and forget" to "automate and elevate" — and why that distinction matters for every leader automating work.