Guides
Guide: ERP Guided Controls, but For AI
AI does not need to become ERP, but it does need to learn the art of politely stopping to check desired outputs. ERP forces preconditions, AI often starts with action and reveals uncertainty afterwards.
Guides
AI does not need to become ERP, but it does need to learn the art of politely stopping to check desired outputs. ERP forces preconditions, AI often starts with action and reveals uncertainty afterwards.
Sometimes the smarter system is the one that knows when not to continue. Work often depends on preconditions, if those pieces are missing, the answer may not be ready.
The Chaos
Discovery: The AI appears to have an answer for everything, even when it does not have the information. How does it know when to stop helping?
Many AI tools are optimised to respond, but work often needs a pause, a check and a few basic questions before an answer is safe or useful. In normal work, missing information is not a tiny inconvenience
Guides
This checklist acts as an intervention for AI's overconfident answers, to help AI discover more context. This turns AI from a fast answer machine into a more careful work partner.
The Chaos
Discovery: The token usage appears to be easier to measure than what the token is used for. Follow the story of the very busy token counter.
Guides
Token usage is a meter because it tells you something happened. However, it does not automatically tell you whether the thing was useful, repeated, trusted or worth paying for.
Usage is easy to celebrate because it is visible, the harder question is whether the work is getting faster, clearer, cheaper, safer or better. Token growth, however, can become a very expensive applause meter if not monitored.
The Chaos
Discovery: The AI bill already has a fixed due date, the benefit delivery date appears to be waiting the promise date for the benefits.
The AI cost stack is becoming harder to ignore but the benefit stack often has a softer, less tangible flavour in nature. Once AI spend becomes material, the gap between invoice and proof becomes impossible to hide.
Guides
AI value often gets lost because cost and benefit live in different places. Use this when AI costs is visible, or leadership keeps asking when the benefits will show up.
The Chaos
Discovery: A fixed benefit savings number appears to have been estimated from use cases currently being mapped.