Resilience01
The Disappearing Model
Your AI provider is still online—but the model your business depends on has disappeared. What does it take to restore the business capability?
Article · 5 min read↗
Edition 04 The Disappearing Model
The Disappearing Model.
What happens when the AI your business depends on is no longer there?
Read the edition
From the Editor
“The interesting questions are often around the model.”
The most fragile AI dependency is often not an endpoint but a behaviour: the accumulated way a product, team and set of controls have learned to work with one model. This edition follows that dependency from first failure through evidence, economics, engineering and a practical test.
Dr Gary Marrs PhD Editor, Beyond the Model
Inside Edition 4
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Model portability02
Same API. Different Machine.
Why changing a model name does not necessarily restore the behaviour, controls or service level an AI product depends on.
Article · 4 min read↗
Model lifecycle03
Models Have Expiry Dates
The published lifecycle evidence shows why AI infrastructure can have a shorter and more provider-controlled life than it appears.
Article · 5 min read↗
AI economics04
The Price of an Escape Route
Portability has a real cost. This decision framework helps judge when the price of an AI escape route is worth paying.
Article · 4 min read↗
Engineering05
Build for the Model You Haven't Chosen Yet
Practical engineering patterns for model substitution, including internal contracts, evaluation suites, shadow testing and a proportionate fallback path.
Article · 4 min read↗
Operational resilience06
Tomorrow, Your Model Is Gone
A practical 30-day exercise for testing how an organisation would cope if its primary AI model became unavailable tomorrow.
Article · 4 min read↗