### Why I’m sticking with Pi:
- Efficiency: My token limits last 10x longer for the same volume of work.
- Precision: The output quality is significantly higher, with far less LLM confusion or "weird" architectural decisions.
- Instruction Following: The model sticks accurately to my system prompts and constraints.
- Flexibility: I can switch between model providers seamlessly, even mid-session.
- Branching: It supports session branching, allowing me to form a "tree" of conversations to explore different solutions.
- Autonomy: It keeps working until the LLM determines the task is complete—"YOLO mode" by default.
#网摘
- Efficiency: My token limits last 10x longer for the same volume of work.
- Precision: The output quality is significantly higher, with far less LLM confusion or "weird" architectural decisions.
- Instruction Following: The model sticks accurately to my system prompts and constraints.
- Flexibility: I can switch between model providers seamlessly, even mid-session.
- Branching: It supports session branching, allowing me to form a "tree" of conversations to explore different solutions.
- Autonomy: It keeps working until the LLM determines the task is complete—"YOLO mode" by default.
#网摘
