ai-usage · whole companyAI Usage & Prompting
Ten modules. Each one teaches one thing, makes you play it, then makes you prove it. Brutally honest, THG‑specific, and about two hours end to end. Do them in order; each one assumes the last.
How it works
Modules
Terminology, no fluff
Model, agent, subagent, context. Say them right or blame the wrong thing forever.
What a lousy prompt costs
Vague in, wrong out, hour gone. A live grader shows you the bill for your own prompt.
Anatomy of a good prompt
Role, context, constraints, output format. Build one from blocks and watch the result change.
Reverse‑prompting & virtual colleagues
Ask for the questions first. Then borrow John, Charlie, Maya, Leo or Sophie's lens.
Subagents & second opinions
When to spawn fresh eyes, when to cross‑check two models, and when not to bother.
Context hygiene
Never build and review on the same desk. Watch a session bloat until it lies to you.
AI safety: the red lines
What never goes into an AI tool: secrets, player data, confidential deals. Classify or crack the company.
When the AI "doesn't work"
Dead token, drift, "stupid" questions, crashed subagent, escalation. Six situations, six fixes, no guessing.
Failure theatre
Six real‑shaped disasters, staged. Make the call, watch the terminal, then watch the bill.
Capstone: ship it or crack it
One real task, one agent, every trap in order. Score 80 to win. Red lines end the run.