Concrete, copy-and-adapt playbooks for getting real work out of AI — privately. Start with the one skill that changes everything (a good prompt), learn to give the AI lasting knowledge, then climb from assisted drafting to supervising agents. Real examples throughout.
Most “the AI got it wrong” moments are really “the AI wasn’t told enough.” Same model, two prompts — watch what changes.
Generic, hedged, and full of invented numbers — because you handed it nothing to work with.
Accurate, on-format, and ready to review. The full version has six parts ↓
The anatomy of the specific prompt:
Rule of thumb: before you blame the model, add the missing part — usually context or a constraint. When prompting isn’t enough: RAG vs. fine-tuning →
A model starts every chat blank. Artifacts are the durable knowledge it reuses; memory is the context it carries between sessions. Capture these once and every future run gets better. Real examples of artifacts worth keeping:
Voice: plain and direct, no jargon. Spell out every acronym on first use. Currency as $12,400 — no cents in summaries. Never use the word “synergy.”
Last quarter’s board summary is the gold standard for structure, length, and tone. Every new draft should look like this.
A “member” is active and dues-paying; “lapsed” means 90+ days overdue; “the board” meets quarterly. Remember these across every task.
Board-packet steps: 1) pull P&L, membership, attendance 2) reconcile across sources 3) flag mismatches 4) draft summary 5) route to the director for approval.
Artifacts + memory turn a generic model into one that knows your organization — your own knowledge base, compounding with every run.
Power with AI is earned one rung at a time — and a human stays in control the whole way. Here’s the move at each step, not just the name.
All the leverage, none of the leakage. Pin this up.
The specific risks, in depth: how your data ends up in training sets, and how keys leak →
Enablement walks your people up every rung — by role, on your real work, governed at each step. No engineering background required.