@manlycoffee Im writing a claude code replacement that will be able to do deep research among many other powerful new things. Ill share it once its out.

@yura15cbx I'm looking now and I dont see any emails from you at the address I gave you. What email did you send it from?

@yura15cbx

Did you send out that email? I didnt see it. We could have probably fix this for you in a few minutes depending on the root cause.

@yura15cbx

Do me a favor, email our system admin witht he problem, and include screen shots. michael.griffith@cleverthis.com and CC me jeffrey.freeman@cleverthis.com

I will get him to address this with you and help out.

@yura15cbx

Yea we should be able to get you set up. did you createt he destination account yet or is that the confirmation email you are talking about?

I'm very proud that the Netherlands is boycotting Eurovision Songfestival next year due to Israel's participation. 🇳🇱🔥 #TheNetherlands #eurovision2026

dutchnews.nl/2025/12/dutch-pul

@manlycoffee Ahh ok that makes more sense, yes EAE can be helpful in figuring out what agent should do what, among other things. Fine-tuning can improve EAE in specialized cases (not strictly needed in general) and that can lead to situations where MCP/skills will be better utilized (by ensuring the proper agent is using the proper skill).

Though to be clear, fine-tuning is neither needed nor routinely used for this purpose. Not to say you cant, or that it wont help, just, usually a powerful generalized model is good enough for most things in that regard.

Personally I use MCP quite extensively in anything I do with LLMs and cant think of a case of an LLM that used skills that I had to fine-tune to improve its skill use.

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