Guides
Guide: Model Routing Lite Guide
Model Routing Lite Guide - Before using the biggest model: Sort task size; Find repeated questions; Match risk to model; Allow no AI; Review cost and behaviour
Guides
Model Routing Lite Guide - Before using the biggest model: Sort task size; Find repeated questions; Match risk to model; Allow no AI; Review cost and behaviour
Guides
AI Data Boundary Check - Before connecting AI to shared knowledge: List the rooms; Mark old sources; Find owners; Check purpose; Test uncomfortable questions; Label stale knowledge
Guides
Work Removal Before Work Addition Guide - Before adding more work: List new work; List old work; Stop something; Pause something; Shrink something; Protect the removal
Guides
Pathway Before Panic Guide - Before the career path floats: List beginner tasks; Separate learning value; Mark AI impact; Replace practice routes; Update entry expectations
Guides
Before calling AI supervised: Name the output; Name the reviewer; Define what they check; Match review to risk; Count review time.
Guides
AI Usage Rules Starter - Before spending AI credits: Name allowed tasks; Set data boundaries; Define review rules; Give role examples; Create an escalation path
Guides
Shadow AI Pulse Form - Before banning shadow AI: Ask what tool people use; Ask what task it helps; Check what data enters; Ask why the approved route fails; Create a safe route
Guides
Task Change Before Title Change Guide - When the work changes before the title: List new tasks; Separate removed and added work; Name new judgement work; Check learning steps; Update success measures
Guides
AI Reorg Reality Check - Before the reorg lands: Map the work; Name what stops; Clarify owners; Protect handover context; Check trust damage
Guides
Decision vs Summary Guide - Before another summary meeting: Name the decision; Find the owner; Separate notes from decisions; Mark unresolved questions; Only meet if choices remain
Guides
Agent Interaction Risk Map: actions, data, systems, handoffs, logs, stop buttons and owners.
Guides
AI Skills Reality Map: turn “everyone needs AI skills” into practical role-based expectations.