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looks like it's trivial to you because I don't know how to

If you're curious to play around with it, you can use Clancy [1] which intercepts the network traffic of AI agents. Quite useful for figuring out what's actually being sent to Anthropic.

[1] https://github.com/bazumo/clancy

If only there were some sort of artificial intelligence that could be asked about asking it to look at the minified source code of some application.

Sometimes prompt engineering is too ridiculous a term for me to believe there's anything to it, other times it does seem there is something to knowing how to ask the AI juuuust the right questions.

Something I try to explain to people I'm getting up to speed on talking to an LLM is that specific word choices matter. Mostly it matters that you use the right jargon to orient the model. Sure, it's good and getting the semantics of what you said, but if you adjust and use the correct jargon the model gets closer faster. I also explain that they can learn the right jargon from the LLM and that sometimes it's better to start over once you've adjusted you vocabulary.

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