I just tried to use Coze AI Agent Builder (a similar product to OpenAI GPT store) to build a free AI Agent Chatbot using the default template and publish online. First of all, the process is quite simple and you can use UI interface to easily publish a default Chatbot without any modification and using the default LLM choices. You can also publish your GPT or LLM apps using various new LLM. And this is the address of the Chatbot I just published. Check this out: https://www.coze.cn/store/agent/7451157046348775476?bid=6epujr7no4015&bot_id=true

The promote in this AI girlfriend agents is "Cool girl not very easy to get along with" I tried to tease the bot and ask what to do on the weekends and I want to break up with her. The replies I got are somehow are consistent with the promote. But the qualities of replies I not very high. Especially is too short and I don't know what to ask next.

Correct result: \sqrt(3)/3. To test the geometry question on Qwen app and the thinking mode you can get the result: Thinking mode: correct answer \sqrt(3)/3. Without thinking mode: wrong answer. Overall, the 235B model is quite powerful compared to previous SOTA model. More about the key updates in Qwen3: Hybrid reasoning model, expanded language support (100+ languages), enhanced tool calling capabilities with Qwen-Agent supporting MCP. The newly open-sourced Qwen3 is China's first "hybrid reasoning model", a concept initially proposed by Claude3.7 and recently adopted by Gemini2.5 Flash. Essentially, this allows the model to toggle reasoning processes on/off. The primary purpose is to accelerate response generation for simple queries or time-sensitive scenarios by optionally disabling the thinking process while maintaining output quality. Previous approaches struggled to directly suppress reasoning steps in LLMs without retraining, as prompt engineering offered limited control. Qwen3 introduces two control methods: 1) A hard switch via enable_thinking parameter (True/False), and 2) When enabled, secondary soft switching through appending /no_think or /think tokens. Qwen also provides recommended parameter configurations to ensure optimal performance: Think mode: Temperature=0.6, TopP=0.95, TopK=20, MinP=0 Non-think mode: Temperature=0.7, TopP=0.8, TopK=20, MinP=0 Additionally, Qwen3 features specialized training for tool invocation, with Qwen-Agent now supporting MCP.