Guides
Guide: Human Review Rule Builder
Before calling AI supervised: Name the output; Name the reviewer; Define what they check; Match review to risk; Count review time.
Guides
Before calling AI supervised: Name the output; Name the reviewer; Define what they check; Match review to risk; Count review time.
Guides
Agent Interaction Risk Map: actions, data, systems, handoffs, logs, stop buttons and owners.
The Chaos
Everyone has the same AI transformation sign but nobody seems to have the same map. The Blue Blob is looking to check on the route.
The Chaos
Discovery: The prompt board was very prominent, the outcome board was very dusty and of course the Blue Blob had a question.
Guides
A practical guide to connect AI usage to what actually changed in the work and the outcomes. Every AI usage metric needs an outcome sitting beside it.
Signals
Prompt counts are useful, but they need an outcome sitting beside them. Before deciding on prompt usage dashboards, consider also measuring the why.
The Chaos
Discovery: AI can build faster now and the Blue Blob noticed everyone suddenly wanting better judgement hats. Where will this discovery lead?
Guides
A practical check for deciding what deserves to exist when AI can build more things faster. All buildings deserve a strong foundation, would you let AI build your foundation?
Signals
When builders move faster, judgement becomes the bottleneck to determine which design will be useful in the real world.
The Chaos
Discovery: The big sign said Use AI Responsibly so the Blue Blob looks for the 'how to' Use responsibly directions underneath.
Guides
Responsible use needs examples, not just a poster. Allowed AI Use Rules Starter helps turn the policy intent into practical examples people can follow.
Signals
A Policy is not generally an operating guide. People need rules they can use in real work, not just the transformation or compliance announcements.