What ConeheadAI teaches

ConeheadAI is about **mastery of the tools you already have**. The goal is practical skill: pick a job, use AI to help, check the result, and own what you send.

We do **not** train people primarily as AI engineers, GPU wranglers, or foundation-model researchers. If that path interests you, other schools exist. Here, the ladder is operator literacy — Curious through hands-on work — with real checks, not participation trophies.

What “good” looks like

• You can match a **job** to a **tool class** (chat, search, image, grounded files) without defaulting to one logo.
• You can write a clear prompt with task, context, constraints, and format.
• You verify claims that matter — numbers, policy, promises — before they leave your desk.
• You keep sensitive data out of the wrong accounts.

Under construction

This wiki is the shared body of knowledge behind lessons, practice, and challenges. Pages will grow from the curriculum spine, Worth learning? topics, and the AI utility compendium. Expect stubs, short plain articles, and regular updates.