Question Clearly sourced

Expert knowledge for digital decisions

How to Remain Independent of an AI Provider?

Short answer

Through an intermediate layer: The application does not communicate directly with the provider, but with its own interface, behind which the model is interchangeable. This includes a collection of test cases, against which a new model can be measured – without it, every change is a shot in the dark.

Why This Is Important

Models are discontinued, prices change, providers alter conditions. An application that is hardwired to a specific model must then be rebuilt – under time pressure.

The Intermediate Layer

Your application calls on its own interface: "Classify this text into a category." Behind this lies the connection to the provider. A change affects only this one place.

This costs little during development but saves time during transitions.

The Test Case Collection

More important than the intermediate layer: fifty to a hundred real cases with the correct answer for each. With this, a new model can be evaluated in an hour.

Without this collection, you only realize quality has dropped during operation – and cannot prove it.

What Changes Between Models

  • The phrasing of instructions appears different
  • Output formats vary
  • The tendency to fabricate information differs
  • Costs and response times change

A model change is therefore never just a configuration change.

What You Can Avoid

The attempt to build completely provider-neutral. Some adjustment work is inevitable. The goal is to make a transition take days, not months.

Practical Advice

Set up the test case collection as soon as the first application is running – not when the transition is imminent. At that point, the cases are still available and the correct answers are known.

Key facts

Two Measures
Intermediate layer and test case collection
More Important
The test case collection
Goal
Transition in days instead of months

Sources

All external claims are backed by traceable sources.
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