GLOSSARY
Model agnostic
Model independence describes an application that can connect to different AI models. Its practical flexibility depends on whether tasks, tools, data formats and quality requirements work with each model. A common interface alone does not establish effortless substitution.
Switching options in everyday sales work
A team might use one model for short meeting summaries and another for demanding proposal analysis. Changes in pricing, availability or contractual conditions can make an alternative attractive. Yet identical inputs may produce different wording, omissions or tool calls.
Switching therefore creates testing, adaptation and training work. Maintaining another model connection is particularly relevant when an outage or unilateral provider decision could disrupt an important process. For a rarely used function, continuing maintenance may cost more than the option is worth. Ownership of that maintenance needs to be part of the decision.
Demonstrate substitutability in practice
A useful switching exercise uses the same approved customer cases and compares source support, correction effort, response time and total cost. It should also demonstrate a working return path. Evaluation makes differences visible before users are affected. The result provides evidence about the actual limits of vendor dependence.