Leading AI at Work: Governance, Rollout and Practice / Unit 8 LAI 195 worked example, 60 to 90 seconds
Role Guides: Manager and AI Engineer
The idea
The Toolbox's last two role guides are for project and product managers, and for AI engineers and data scientists.
In practice
Step one: the manager, whose strength is moving many people in roughly the same direction, uses Packs in steering reviews to align business and technical teams. Step two: the manager frames scope and risk by things, as in this release touches three Gold things, and adds the method's lines to the definition of done. Step three: the AI engineer, whose strength is building tools that can go very wrong if not anchored, treats Packs as the ground truth for features and labels. Step four: the AI engineer designs prompts around things, supplies the Pack before asking a model to generate or classify, and uses matrices to see which policies and tests a model might disturb.
Where people slip
The AI engineer's guide carries the book's sharpest warning about AI: a model built on free-floating signals with no anchor in a thing is hard to explain, hard to audit and hard to change safely.
Your place on the trail
Every lesson rests on earlier ones and opens later ones. Tap any to jump.
Unlocks
- Nothing yet depends on this.
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