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We’ve essentially been using that “recursion” to tune our agent. Having the agent build itself is not something I would have ever thought of though. Curious if you find it genuinely creates specific enough tools for it to be worth the setup time? I have a claude skill that takes in a chat and then offers tools/fixes to system prompt. Have found that + the anthropic harness engineering blogs to be super useful in making the agent actually do the work.
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Have a look at https://github.com/adam-s/agent-tuning. Now, I'm working on developing the evaluation, the part that quantifies the performance of the agent. I'm having a hard time explaining it. You should be able to point Opus 4.7 to the repository and it will know how to set it up in your project.

You are welcome to send me an email at [my_username]@gmail.com if you want to talk about some of these things that I'm working on that are in your space.

`intercept` is just a proof-of-concept and at this point, if it added any value to what you are working on, that would be the best. Overall, people are pounding every website and your product will save billions in compute from AI inference to servers grinding and grinding getting pounded by these bots.

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Nice ty for sharing I was going to build something like this for a customer.

I think just downloading all network traffic and giving it to claude code is the fastest and cheapest approach for 99% use cases.

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