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.
How to use Grok safely in Outlook, Word, Excel, and Google Workspace
Use Grok in Outlook, Word, Excel, or Workspace through the work add-in when your org allows it. Do not paste work threads into personal grok.com. Summarize in the…
How to check an AI tool’s answers yourself before you trust it at work
Build human-sized evals: spot checks, golden questions, and a regression set with clear pass criteria. Score analytics outputs before fluent wrong SQL or prose becomes process.
Which AI tool to use for your files and office work: ChatGPT, Claude, Gemini, or Copilot
Put AI on files and office work with a work account, a safe first task, and a human Send. Summaries help; unsupervised approvals do not.
How to get started with Google Gemini in your first 30 minutes
Spend thirty minutes in Gemini app or web on one surface. Use constrained prompts, try one file or image if allowed, and leave with one reusable pattern.
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,…




