competitive strategy

The strategy question every AI application company faces. 'Better prompts' is not an answer. The interviewer wants a ladder of defensibility and a plan to climb it.

An incumbent's dilemma. Bolting a chatbot onto the old product rarely works; copying the startup ignores your strengths. The interviewer wants a response that uses the incumbent's assets.

A pricing question about where the value of falling model costs should go. The answer depends on margin targets, competition and whether price or capability wins customers.

AI features commoditise fast because everyone can access similar models. The interviewer wants a move from feature advantage to workflow, data and outcome advantages, with a plan for the feature itself.

Matching free is tempting and often ruinous when every use costs money. The interviewer wants a segmented response that protects the customers you can keep, the margin you need, and the value only you deliver.

If you don't answer the question, someone else's assistant will. Ship behind a long holdout with revenue per session as the guardrail, and build the replacement monetisation before scaling.

Enterprise vendors have released models under MIT, Apache and non-commercial licences. Release when the model complements what you sell, pick the licence that matches the goal, and keep the workflow-tuned versions closed.