personalisation

A portfolio question for a company that already uses machine learning everywhere. Strong answers find where generative AI changes what users can do, not just how recommendations are computed, and weigh it against costs to artists and licensing.

Repeat items are predictable; meal plans are a nice demo. Start with replenishment, expose ordering to outside assistants with one confirmation, and keep household preferences inside your own app.

'Creepy' means the system knows more than users expected; 'random' means they cannot see the logic. Both are fixed with honest explanations and real controls, not marketing copy.

Generation at scale where the model writes copy nobody reviews before it reaches millions of phones. The design is about templates, guardrails and cost, more than about the model.

Memory makes assistants feel personal and creates a new way to be wrong, creepy or unsafe. The strongest answers start with what should never be remembered.

Compare the same request with and without the profile, judged by people who see the profile, and test the three failures users notice: ignoring a stated preference, using a stale one and over-personalising.