Category: AI
You are here if AI showed up in your job and the names on the screen do not match the buttons. This category is practical. It is not a model-release calendar, and it is not one lesson pasted under a new product name. The series split the pile so a Claude post and a ChatGPT post can teach different work.
Everyday paths are for a person with no account yet, or a person whose chat forgot a file: setup, prompting, memory, agents, safety, and which product fits a job. Product paths stay on one tool: Claude, ChatGPT, Gemini, or Grok, from a first login to the surface you should not open. Open-weight paths are Llama, DeepSeek, Qwen, Kimi, and GLM: what the name refers to, and when a normal paid chat is the easier tool. Engineering paths are for running a model, retrieving from your own files, and fine-tuning. Several of those hubs are still waiting on a first live part, and the hub page says so.
Where to start: no account yet, use AI setup from zero. You already pay for one product, open that product’s series and use the first part. You want the idea before the brand, use Practical AI. You want every series in order, use Learn and the AI tracks.
Should you use an AI chatbot in the browser, the phone app, or the desktop app?
Use the vendor website for billing, seat admin, and full settings. Phone is for voice and the train. Desktop sits on the same login. Same email or you…
How to use AI to write data documentation and data dictionaries
Use AI to draft dictionary entries, then verify against a signed source before publish. Draft, verify, publish is the only flow that stays honest.
Practical ways to use Grok at home, at school, and at work
Four realistic weeks with Grok: home, school, analyst, and manager. Same model, different stakes. Keep citations, honesty, and a verify pass before you send.
Consumer Gemini vs Workspace Gemini
Consumer Gemini and Workspace Gemini are different doors. Match the job to the contract: personal app versus company Workspace seat, then confirm which buttons exist on your plan.
Privacy when pasting data into chat tools
Treat every paste as a processing decision. Use a risk ladder and synthetic samples. Consumer chat is not your approved enterprise workspace.
