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.
Hermes Agent tutorial: an AI agent that remembers and learns new skills
Hermes Agent saves what it learns in plain files: short notes it reads every session and skills, which are how-to guides it loads when a job matches. Here…
What is Meta Muse, and should you let an AI agent buy things for you?
Meta Muse is a personal AI agent that shops, books and sends email for you, and asks before it spends money. Here is how its purchases work, what…
How to make AI document search (RAG) cite the exact source for each answer
Ship RAG with visible sources, passage-level cites when you can, and automated checks that quotes exist in retrieved text. Latency trades are real; inventing footnotes is not allowed.
Zapier from Zero: Building Your First Production Integration
Build Zapier automations with explicit field checks, Paths for branches, and task-cost awareness. Triage errors with run history before you rewrite the whole Zap.
How to test whether a cheaper AI decision model is good enough for your team
New AI decision models launch with big scores, but the only test that counts is yours. Here is how to check a cheaper model on your own past…
