Category: Tutorials
You are in the right place if you want a lesson you can follow, not a glossary and not a product homepage. This shelf holds most of the articles on Analytics Made Simple. Two paths sit inside it on purpose. SQL is the database path: you have rows, and you need to ask a question without exporting another spreadsheet. AI is the tool path: chat products, open-weight models, and the jobs those tools are actually good at. Other tutorials land here when they teach a skill that does not belong on a narrower shelf.
A category page is the pile. A series page is the path, with a place to start and an order. If you open a tag or page 2 of this list, you are in a filing cabinet. The lesson is the article, or the series hub that lines the articles up.
Where to start: if the pain is a table, open the SQL series and use the first part on that page. If the pain is a model name or a chat tool, open the AI category and pick the product you already have on screen. If you are not sure which job you have, open Learn and choose the track that matches the work, not the logo.
Should you build a dashboard or a single slide for your data?
Dashboards monitor change; single slides carry one decision. Use the one-idea-per-view rule and a declutter checklist so a busy ops page stops pretending to be a decision document.
Fine-tuning vs RAG: two ways to teach an AI chatbot about your company
Fine-tuning changes model behavior with examples. RAG retrieves documents into the prompt. Prefer RAG first for company knowledge; fine-tune when style or task format is the real gap.
Hosted or downloaded: where should an open AI model run?
Hosted open models and a download to your machine are different places for the same weights. This guide splits Groq, Together, Fireworks, and chat UIs from Ollama, LM…
Which Grok model should you use, and when should you switch?
Choose a Grok model by job: everyday chat for short rewrites, Grok 4.7 or Grok Build for long coding work, Imagine for pictures. Switch only when the job…
How to write a one-page definition for every business metric people argue about
Write a one-page metric spec with owner, grain, formula, filters, and caveats. Definitions beat dashboard debates when two people rebuild the same number.
