rephrase readme

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README.md

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 Minimalist LLM framework in [100 lines](minillmflow/__init__.py). Express popular paradigms like agents, task decomposition, RAG, and more.
 
 - Install via  ```pip install minillmflow```. Or just copy the [source codes](minillmflow/__init__.py) (it's only 100 lines)
-- We  **strongly recommened** using LLMs (e.g., Claude, ChatGPT, Cursor) to build LLM applications with [this prompt](minillmflow/docs/prompt)
+- We  **strongly recommened** using LLMs (e.g., Claude, ChatGPT, Cursor) to develop LLM applications with [this prompt](minillmflow/docs/prompt)
 
 ## Why miniLLMFlow?
 
 The future of programming will be heavily LLM-assited, and LLMs:
 
-1. **👍 Excel at Feature Implementation**: 
+1. **😀 Shine at Feature Implementation**: 
-Give proper context/docs, they know how to use APIs, tools, text chunking, prompt wrapping, etc. 
+With proper docs, LLMs can handle APIs, tools, chunking, prompt wrapping, etc. 
-These shouldn't be part of an LLM framework, as they're hard to maintain, update, and optimize.
+These are hard to maintain and optimize, so they don’t belong in the framework.
 
-2. **👎 Suck at Paradigm Design**:
+2. **☹️ Struggle with Paradigm Design**:
-Paradigms like MapReduce, DAG workflows, and recent agents are powerful for reasoning about problems.
+Paradigms like MapReduce, task decomposition, and agents are powerful, even for LLMs.
-However, designing elegant paradigms is challenging, and LLMs tend to write redundant code.
+However, designing these elegantly remains challenging for LLMs.
 
-Can we build a framework that: 
+To enable LLMs to develop LLM applications, a framework should
-(1) removes redunant feature implementations, 
+(1) remove redunant feature implementations but
-(2) but keep core paradigms for LLMs to program against?
+(2) keep core paradigms to build on.
-Turns out that we just need 100 lines of codes.
+It turns out that such a framework only needs 100 lines of code.
 
 <div align="center">
   <img src="./docs/minillmflow.jpg" width="400"/>