But it is also not always or often the best to flit from one idea to the other, never going deep, chasing signs of validation that may never come unless you put in enough work.

Almost any reasonable idea that is not obviously bad (as in having some clearly insurmountable technical or market hurdles, etc) can be made to work.

What makes ideas work (and this is what separates those with a true entrepreneurs mindset from those just playing the lottery of "MVP"s) is the creation of what I call a viability field around them.

When a person decides to create an app, or some other product, or a certain business, they have not exhaustively considered all the possible things they could do and decided that this is the objectively most viable thing to pursue. They commit to a space they like ot be in, that feels like a good match for their skills and temperament, etc.

Then, within the general idea, the key I think is to begin creating a product, the development and marketing of which acts as a substrate for the learnings you need to succeed in that market. AI used judiciously can help you to cover ground more quickly, or at least be a bit more fearless about attempting that.

Basically you should build something that allows you to learn, to pivot, to adapt as necessary until you find product market fit. Rarely, you'd need to throw everything out, but even then I often argue it is matter of personal decision rather than any fundamental roadblock. If you you are really committed to an idea, and have developed it enough (not just a 1 week MVP) to deeply understand its context, there is almost always a tangent you can take that brings you to success without throwing out everything.