Tagged: MCP
8 posts · All tags
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You Don't Have an AI Strategy. You Have AI Theater.
September 9, 2026
The intake test I run on every new skill, MCP server, and harness before it touches client work.
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Governance Pillars 3 and 4: Write the Contract Before You Hire the Watchdog
September 2, 2026
Accountability and culture are where governance gets hard. The data contract that gives an agent something real to enforce, plus a 30-day plan.
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The Four Pillars of Data Governance (and the Agent That Reports to Each) - Part 1
August 31, 2026
Enablement and promotion are the first two governance pillars. What actually lives in each, what doesn't, and the agent job to hire under both.
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AI Made Your Center of Excellence Bigger. Did It Get Better?
August 24, 2026
AI can flood your Power BI Center of Excellence with content overnight. Here's the maturity ladder for making it measurably better, not just bigger.
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Don't Let Your Agent Touch Fabric Until It Reports Back
August 17, 2026
An agent's bad PySpark doesn't get a red squiggly line. It gets you data. The read-only survey I open every Fabric MCP session with, and the asserts that gate everything after.
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From Notion Page to Power BI Model: Inside an MCP Execution Session
August 5, 2026
What a real Claude instructions page contains and how one line kicks off semantic model work over the Power BI Modeling MCP, kickoff to write-back.
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Stop Re-Prompting: Your Second Brain Should Write Your Agent's Instructions
July 20, 2026
Stop re-prompting your AI agent. Build a two-harness workflow where your second brain writes the agent's instructions and MCP executes in Power BI and Fabric.
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Should an AI Agent Sit on Your Data Governance Committee?
July 16, 2026
AI agents won't lead your data governance program, but they can own its hardest job: transparency. Where to point them first, plus a 30-day plan.
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