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
Signals
Not Every Task Needs The Most Expensive Brain: Not every task needs the most expensive brain. Some tasks need a smaller tool, a reusable answer or a human rule.
the-chaos
The Blue Blob found an AI tool holding old keys. Some doors were current, some were new. All of them still opened doors and AI was allowed in all rooms.
Signals
Access Is Not The Same As Permission: Access means the door opens. Permission means the door should still open. Those are not always the same thing.
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
the-chaos
The Blue Blob found a manager with a watering can and scissors. The new plants appear to need the same space where the existing plants are.
Signals
Leadership Is Also Deciding What Stops: Leadership is not only setting direction. It is deciding what stops so the work can survive the direction.
Responsible use needs examples, not just a poster. Allowed AI Use Rules Starter helps turn the policy intent into practical examples people can follow.
This guide helps managers, HR teams, universities, early-career workers and team leads check whether a junior role is still designed for learning because AI may have changed the task mix.
If humans are babysitting the AI, that time belongs in the AI cost story. AI is now common enough that a lot of hidden work is becoming the new normal.
The boring table that enables upgrades, automation, and AI integration into workflows. Tools don’t equal capability. If you can’t list it, you can’t govern it. First choose an area of friction where you may be thinking of adding AI layer or other upgrades, and run these steps.
VIEEWS follows the work with Signals, Patterns, Guides and Toolkits to help operators inspect recurrence of the discoveries by a Blue Blob.
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
The Blue Blob found a career path starting in the air, everyone could see the next steps but nobody could reach the first step.
Pathway Before Panic Guide - Before the career path floats: List beginner tasks; Separate learning value; Mark AI impact; Replace practice routes; Update entry expectations
A Career Ladder Needs A Bottom Rung: The job may not disappear first. The pathway into the job may disappear first.
The Blue Blob found a robot with a second shadow: review and approval. The savings are still being measured.
Before calling AI supervised: Name the output; Name the reviewer; Define what they check; Match review to risk; Count review time.
Supervision Work Arrives First: AI creates supervision work first, before the work transformation happens.
The Blue Blob found an open wallet beside an unopened instruction book. The budget was ready but the usage rules appear to not be ready to use just yet.
AI Usage Rules Starter - Before spending AI credits: Name allowed tasks; Set data boundaries; Define review rules; Give role examples; Create an escalation path
The Money Arrived Before The Instructions: When the AI budget arrives before the usage rules, confusion becomes part of the rollout cost.
Shadow AI often starts as convenience. The Blue Blob found the robots before the approved-tools list did.
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