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.
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,…
When a Custom GPT is the wrong solution
Skip Custom GPTs for one-offs, live systems, secrets, and certified KPIs. Prefer Chat, Work, connectors, or Codex with review when those jobs show up.
How to write AI prompts for data analysis work
Build data prompts with role, spec, output shape, and refuse rules. Make grain, filters, and calendar explicit so the model cannot hide a wrong query behind fluent SQL.
How to quality-check work that Claude Cowork produces before you share it
Catch workslop before you share: verify numbers, sources, and claims even when the deck looks polished. Use a quality loop by artifact type and a paste-ready review card.
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…
