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 combine meaning search and keyword search for better AI document search
Use dense vectors for semantic match, sparse for exact terms, and hybrid fusion when both matter. Consider Matryoshka dims to cut storage. Test on your queries.
What Is an Automation Platform? The Glue Between Modern Apps
Use automation platforms when many SaaS apps must exchange events reliably. Prefer webhooks over polling. Skip them when a single script or native integration is enough.
Microsoft Decision-1 explained: an AI model that picks answers instead of writing them
Microsoft Decision-1 picks an answer from a list you give it and says how sure it is, at the same price as TypeSafe’s Jev. Here is what it…
How to make an AI agent ask before it runs commands on your computer
Define tool schemas, intercept calls for human approval, and isolate execution. Host subprocesses need allowlists; containers need clear mounts. Defense in depth beats hope.
The three kinds of everyday AI tools: chat windows, assistants, and autonomous agents
Separate chat, assistants, and agents by who holds the loop and which tools can run. Match the tier to risk, repeatability, and how much autonomy you actually want.
