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 ChatGPT Work or regular Chat for your task?
Part 4 closes the ChatGPT Work tutorial. Use a decision table for when Work beats Chat, when Chat is enough, and which wrong doors to avoid. Then continue…
How to decide which plugins and connectors to add to Claude Code
Part 7 of Claude Code tutorial. Map built-in tools, MCP connectors, and plugins that bundle skills, subagents, hooks, and settings. Climb the ladder from a plain task to…
How to check the results of a long, multi-step ChatGPT Work job
Part 3 of the ChatGPT Work tutorial. Run multi-step jobs as a goal-plan-act-checkpoint loop: review the plan, steer mid-run, check usage, and finish with a result checklist that…
How to write a CLAUDE.md or AGENTS.md file so Claude Code follows your rules
Part 6 of the Claude Code tutorial. How CLAUDE.md, AGENTS.md, README, and related instruction files split work between humans and agents, with a sample CLAUDE.md skeleton and the…
How to give ChatGPT Work its first task and approve each step
Part 2 walks one low-risk agentic task with approvals: owned notes into a short status deck, tight tool access, and human review before anything leaves your desk. First…




