• "Point to" - no, still not enough compute/context

    But doing smart prompting will definitely do it.

    I would approach it like this:

    1. user writes the description of a program
    2. in the "first-level" prompt there is a pre-loaded summarized list of applications, so ChatGPT selects applicable programs to use as examples
    3. same thing with documentation pages, select what is likely to be relevant topic-wise
    4. in second turn, load the examples and documentation pages into context, preempting by relevancy score
    5. write code based on example, potentially run simulator to see any useful feedback
    6. if the software runs on a simulator, package as app, if it does not - show the code to fix manually

    Even better results will be with changing current applications - like changing / inventing new watch faces by modifying code

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