It's great that you are thinking about this. Here is another potentially more valuable tool to consider: a problem generator.
The goal is to identify problems, tunable complexity from mundane to moonshot, in a selectable field. You also select the customer, a tunable value for the customer (low to high), and the field/industry.
You could prototype this with a well-developed prompt in your favorite AI and discover other parameters that could be important, e.g. now vs. future or something like production vs delivery vs support vs etc.
For example: suppose you select "bakery" as the field/industry, "medium" as the complexity, "high" as the value and "delivery." You might get potential problems such as:
- low cost direct to customer delivery
- rapid point-of-sale
- improved warmth of baked goods upon delivery
- etc.
This approach could of course be applied to all sorts of fields.
The goal is to identify problems, tunable complexity from mundane to moonshot, in a selectable field. You also select the customer, a tunable value for the customer (low to high), and the field/industry.
You could prototype this with a well-developed prompt in your favorite AI and discover other parameters that could be important, e.g. now vs. future or something like production vs delivery vs support vs etc.
For example: suppose you select "bakery" as the field/industry, "medium" as the complexity, "high" as the value and "delivery." You might get potential problems such as:
- low cost direct to customer delivery - rapid point-of-sale - improved warmth of baked goods upon delivery - etc.
This approach could of course be applied to all sorts of fields.