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 test whether a cheaper AI decision model is good enough for your team
New AI decision models launch with big scores, but the only test that counts is yours. Here is how to check a cheaper model on your own past…
How to test whether an AI coding agent’s changes actually work
Evaluate coding agents with real issues, unit tests, and Pass@k metrics. Build a small internal golden set. Do not trust demos or pure LLM judges.
OpenClaw for beginners: run your own AI assistant on WhatsApp, Telegram, and Slack
Deploy OpenClaw with Docker, channel gateways, and an allowlisted user ID. Add scoped tools and local memory so messaging apps become a private command console.
Can AI really clone Photoshop? What the ArtCraft apps can do, and where the legal line is
AI coding agents built free copies of Photoshop and other paid apps in weeks, but their makers rate them about 45% ready for real work. Here is what…
How to use metadata filters in AI document search to hide private and outdated files
Attach tenant, role, freshness, and doc-type metadata to every chunk. Prefer pre-retrieval filters for security. Treat ACL mistakes as incidents, not UX bugs.
