u/DaDiPu

How do you comment on it? Is it fine to be used on your agent?

Even the pro tier's quota is quite limited. Especially the Claude and GPT quota. I would use it up for quite a short time. Who knows the details of the quota?

How about the free tier's quota?

Is it rediculous?

If you are not allowed to insult Israel, you are also not allowed to insult US. I thought they were at least at the same level if US not rank higher than Israel. But I found out it might be not true. Israel seems to rank higher than US? Is it true? Why?

On the Chinese platform Zhihu, I saw a post claiming that there is no real freedom of speech in the US. The argument is that you can't comment on people getting older or gaining weight online, and in the workplace, discussing personal matters like marriage or age is a big no-no. There's also no room for regional prejudice—for example, can someone from the East Coast post discriminatory remarks about midwestern 'rednecks'? They claim that posting such comments can get you fired, expelled from school, or even land you a civil lawsuit.
My question is: are these same red lines present on platforms like Reddit? And is it true that you really cannot criticize Jewish people or Israel in the United States?

我接触到蓝营支持者，几乎没有一个会说赖清德好话的。

我很想知道：民进党他们都干了哪些坏事，让他们对赖如此深恶痛绝？

这是我的一个未解之谜。

I’m encountering the following error repeatedly:

Trajectory ID: 5dcc3672-9d51-4bad-a128-fc6bd7e6375a
Error: HTTP 400 Bad Request
Sherlog: 
TraceID: 0xed6519d4bfb30067
Headers: {"Alt-Svc":["h3=\":443\"; ma=2592000,h3-29=\":443\"; ma=2592000"],"Content-Length":["301"],"Content-Type":["text/event-stream"],"Date":["Tue, 19 May 2026 06:49:38 GMT"],"Server":["ESF"],"Server-Timing":["gfet4t7; dur=3013"],"Vary":["Origin","X-Origin","Referer"],"X-Cloudaicompanion-Trace-Id":["ed6519d4bfb30067"],"X-Content-Type-Options":["nosniff"],"X-Frame-Options":["SAMEORIGIN"],"X-Xss-Protection":["0"]}

{
  "error": {
    "code": 400,
    "message": "{\"type\":\"error\",\"error\":{\"type\":\"invalid_request_error\",\"message\":\"messages.11: The final block in an assistant message cannot be `thinking`.\"},\"request_id\":\"req_vrtx_011CbBUvHGhHtgD4rFNMj4G4\"}",
    "status": "INVALID_ARGUMENT"
  }
}

This issue is quite severe. I’ve tried many workarounds, including repeatedly asking it to “continue” and splitting tasks into smaller chunks so it executes them step by step. However, these approaches mostly just waste more tokens and don’t solve the problem effectively.

I’m wondering whether anyone has found a better solution to this issue.

The tasks I handle with Gemini CLI are fairly simple, so I haven't really run into the issues others have mentioned. I’ve always stuck with 'auto' mode.
Recently, I checked with the /model command and realized it hardly ever uses the Pro model; its usage rate was almost always at 0. So, I tried manually switching to the Pro model and noticed the usage spiked immediately—it's already at 38% after just a few interactions. Its performance is noticeably better, and its ability to answer questions has clearly improved. I wonder if I was just used to a 'dumber' model before, making this one seem so much better by comparison.
Or maybe it's just psychological. Like many others, I also find Claude models to be superior. Could my perception of the Pro model being stronger also just be a placebo effect?

Regarding this question, Gemini CLI suggested that CLI tools can facilitate better deep research than the official web interface.
I think the Deep Research feature on the Gemini website is quite good, though not perfect. Gemini CLI claims that a CLI-based approach can be superior because it offers more flexibility—it can leverage various tools like search engines, code execution, local file access, and more, making it far more versatile than a standard chatbot.
It recommended looking on GitHub, but after a search, I found very few Gemini CLI 'skills' (maybe I'm just not searching correctly).
I’d like to ask everyone: Have any of you built deep research tools using Gemini CLI, and what was your process? Or have you come across any particularly impressive research tools on GitHub? Thanks in advance!