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.
How to tell whether ChatGPT ads are working: attribution and lift tests in plain English
The ChatGPT Ads dashboard counts sales that came after an ad, not sales the ad caused. Here is what OpenAI’s new measurement partners do, why view-through numbers mislead,…
Why AI document search gives wrong answers, and how to find the cause
Watch for stale docs, bad neighbors, and unsupported claims. Add freshness signals, rerankers, and refusal paths. Treat RAG outages like search outages.
How to handle lists in Make automations: routers, iterators, and aggregators
Use Make for array-heavy visual flows: iterate, aggregate, route, and handle errors per bundle. Prototype the data shape before you scale operations.
The new X Subscription explained: which plan you need for Grok, Grok Bot and Cursor
xAI’s X Subscription puts Grok, Grok Bot, Cursor and X Premium into one plan, from free to $200 a month. Here is what each tier includes, which one…
Open-source AI coding agents vs paid products: which to use
Compare open and product harnesses on control, cost, and compliance. Prefer portable tool protocols so you are not stuck rewriting every connector.
