Claude & OpenAI Made Easy
The official docs from both companies, explained in plain English.
Roles and messages, the prompting playbook, thinking models, structured outputs and tool calls, prompt caching, skills, provider tools and MCP, coding agents, agents, evals, and how to stay current. No coding needed to follow along.
11 lessons · about 3.3 hours
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A chat is a list of messages with roles. Learn what goes in the rules and what goes in the request.
The ideas that Anthropic and OpenAI both teach, gathered into one playbook you can use today.
How thinking and reasoning modes work, when to use more effort, and how to prompt them.
Get answers your software can read, and let the model ask your code for help, safely.
Reuse the start of a long prompt to save cost and time, and check that it works.
Package a repeat job once, let the model load it only when needed, and stay safe.
Web search, code running, file search and MCP: what each does, what it costs and the risks.
What a coding agent does in your project, and how notes, permissions and skills steer it.
The building blocks of an agent, when to use one or several, and questions to ask of any agent.
A five-step test routine you can run in an afternoon, with good habits from both docs.
A five-minute routine for reading AI docs, and how to keep your work safe when models change.