Why use an AI interview product when you can just use ChatGPT?

Because ChatGPT gives you a conversation. A proper interview product gives you a system.

You can absolutely use ChatGPT, Claude Projects, Claude Skills or a custom GPT to run a mock case interview. With the right setup, they can do a good job.

But building and maintaining that setup is not trivial.

You can also cook chicken and vegetables at home. A restaurant should still do it better, more consistently and with far less effort from you.

The difference is what sits around the model.

1. It knows the case and it knows you

A dedicated product keeps the case in a structured format: questions, exhibits, expected insights, scoring criteria and follow-up logic.

It also keeps track of you: which information you have seen, how you answered, where you struggled and how your performance changes over time.

The underlying data comes from coaches who have run these interviews many times.

That matters because there is rarely one perfect answer. Coaches help define the acceptable space of answers: the different approaches that can work, the insights that matter and the difference between a weak, reasonable and excellent response.

A casebook gives you the raw case. It usually does not give you that depth of evaluation.

2. It behaves like an actual interviewer

ChatGPT can imitate an interviewer, but it tends to improvise.

It may help too much, accept a weak answer, reveal information too early or give feedback that sounds sensible but is too generic to be useful.

A dedicated product controls this behaviour.

It defines when to probe, when to challenge you, when to reveal more information and when to move on.

It also evaluates your answer against the case and the range of acceptable answers defined by experienced coaches, rather than against a vague idea of what sounds good.

3. It works like a product, not a chat

With ChatGPT or Claude, you still need to find the case, upload it, configure the instructions, manage the context and check whether the model is behaving properly.

A product removes that work.

It gives you the voice interface, exhibits, notes, calculations, structured feedback and progress tracking in one place.

It can also separate the different tasks. One model can run the interview, another can score it and another can generate feedback.

You could reproduce much of this yourself.

But then you would need to build, test and maintain the system yourself.

That is the difference.

Try AI case interview practice on MyConsultingCoach — voice-led cases built by real coaches, with structured feedback after every run.