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TECHNOLOGY, EXAMINED.AI CODING / MODELS / PRACTICE

The setup question

Where the model runs changes the job.

Choose an endpoint by following the data and the operational responsibility, not by assuming a label settles either.

Local and hosted describe where inference happens. They do not, by themselves, tell you how the surrounding application logs requests, which tools it can call, or whether its model is good at your task. Evaluate the complete path from editor to endpoint.

Inspect the shape of your setup

You operate the inference environment

Check hardware requirements, model support, endpoint compatibility, and the time needed to keep the service working. Confirm whether the surrounding application or its tools still contact external services.

Try an ordinary task

Use a small, non-sensitive project to check connection behavior and response quality. Observe both a successful request and a connection failure. Confirm that the application identifies the chosen model and does not silently switch to a different endpoint.

Record the actual boundary

Write down what leaves the machine, where credentials live, and which tools can access the network. Local inference is not a privacy audit; hosted inference is not a single uniform policy. Your chosen application and provider configuration determine the details.