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Explore practical guides, step-by-step masterclasses, and foundational definitions across AI, SQL, and data systems — written in plain, human English.
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Inclusive metrics: how to spot the people your numbers leave out
A metric can look clean and still leave people out. Ask who is in, who is out, and what action follows before a KPI becomes policy. Inclusive metrics…
Handling a data incident
A wrong dashboard number is a data incident, not a spreadsheet oops. Learn the first 24 hours: contain, triage severity, run a check board, log facts, and communicate…
What is prompt injection, and how can it trick AI tools that read your data?
Prompt injection is not only a chatbot prank. For data teams it rides in tickets, docs, CSV cells, and tool outputs. Treat retrieved text as untrusted, constrain tools,…
When a Custom GPT is the wrong solution
Skip Custom GPTs for one-offs, live systems, secrets, and certified KPIs. Prefer Chat, Work, connectors, or Codex with review when those jobs show up.
How to use one company-wide goal metric alongside team scorecards
A North Star focuses the company; team scorecards run the work. Build a simple stack of crown metric, input metrics, and team cards so one slide cannot pretend…
