Instructions
One of the most common and costly mistakes in AI product development is building something that should be a feature of someone else's product — or something that users will happily get for free from a general tool. "I could build a GPT wrapper for that" isn't a dismissal — it's a real challenge you need to be able to answer.
The trap is confusing a useful application of AI with a viable product. A useful application is something where AI helps someone do a task better or faster. A viable product is something that warrants its own interface, its own onboarding, its own payment, and its own ongoing relationship with users. Many AI ideas that feel exciting in demo mode fall apart under the product test: the tasks are too infrequent for users to build a habit, or the output isn't ...
