Docs improvements

CONTRIBUTING.md

@@ -18,7 +18,7 @@ We value all kinds of contributions! Whether it’s improving our documentation,
 
 To streamline the process, please avoid these types of contributions:
 
-> Please do not use the issue tracker for general support questions. For help, consider joining our the Polymarket Discord or referring to the [Polymarket API documentation](https://polymarket.com/docs).
+> Please do not use the issue tracker for general support questions. For help, consider joining our Polymarket Discord or referring to the [Polymarket API documentation](https://polymarket.com/docs).
 
 # Ground Rules
 

README.md

@@ -43,11 +43,11 @@ This code is free and publicly available under MIT License open source license (
 - AI agent utilities for prediction markets
 - Local and remote RAG (Retrieval-Augmented Generation) support
 - Data sourcing from betting services, news providers, and web search
-- Comphrehensive LLM tools for prompt engineering
+- Comprehensive LLM tools for prompt engineering
 
 # Getting started
 
-This repo is inteded for use with Python 3.9
+This repo is intended for use with Python 3.9
 
 1. Clone the repository
 

docs/EXAMPLE.md

@@ -7,7 +7,7 @@
                 Polymarket is an online prediction market that lets users bet on the outcome of future events in a wide range of topics, like sports, politics, and pop culture. 
                 Get accurate real-time probabilities of the events that matter most to you. 
 
-        Filter these events for the ones you will be best at trading on profitably.
+        Filter these events for the ones you will be best at trading profitably.
 
 
 

scripts/python/cli.py

@@ -108,7 +108,7 @@ def ask_llm(user_input: str) -> None:
 @app.command()
 def ask_polymarket_llm(user_input: str) -> None:
     """
-    What types of markets do you want trade?
+    What types of markets do you want to trade?
     """
     executor = Executor()
     response = executor.get_polymarket_llm(user_input=user_input)