Field Guide
Learn the craft
Practical chapters for asking better, verifying answers, and building workflows that survive hype cycles.
- 01 Start here What AI is good for today, what it is not, and how to begin without drowning in tools.
- 02 Ask better Structure beats clever wording. Give context, constraints, and what “good” looks like.
- 03 Verify Confidence is a style. Evidence is a process. Build a verification habit.
- 04 Build a workflow Turn one-off chats into a repeatable process your future self can trust.
- 05 Images and code Creative and technical work need sharper specs and sharper tests.
- 06 Team norms Shared rules beat hero prompting. Decide what is allowed before the rush.
- 07 When not to use AI Skipping the model is a skill. Here is when enthusiasm should wait.
- 08 Privacy and judgment Treat prompts like emails to a vendor. Your judgment stays on the hook.
- 09 Evaluate without theater Lightweight evaluation habits that catch real failures without fake benchmark theater.
- 10 Team rituals that keep craft alive Short recurring practices so AI use stays shared, reviewed, and reversible.
- 11 Name the failure modes Common ways AI help goes wrong at work — and how to notice them early.
- 12 Clear-eyes ops Operational habits for privacy, logging, and judgment when AI touches real work.