diff --git a/autogen/agentchat/contrib/capabilities/context_handling.py b/autogen/agentchat/contrib/capabilities/context_handling.py
index dcdf307587cc..173811842eb9 100644
--- a/autogen/agentchat/contrib/capabilities/context_handling.py
+++ b/autogen/agentchat/contrib/capabilities/context_handling.py
@@ -35,7 +35,8 @@ class TransformChatHistory:
     3. Third, it limits the total number of tokens in the chat history
 
     When adding this capability to an agent, the following are modified:
-    - A hook is added to the hookable method `process_all_messages_before_reply` to transform the received messages for possible truncation.
+    - A hook is added to the hookable method `process_all_messages_before_reply` to transform the
+    received messages for possible truncation.
     Not modifying the stored message history.
     """
 
diff --git a/notebook/agentchat_agentoptimizer.ipynb b/notebook/agentchat_agentoptimizer.ipynb
index b23476cddaa8..9b45a6c3b827 100644
--- a/notebook/agentchat_agentoptimizer.ipynb
+++ b/notebook/agentchat_agentoptimizer.ipynb
@@ -60,7 +60,7 @@
    "source": [
     "# MathUserProxy with function_call\n",
     "\n",
-    "This agent is a customozied MathUserProxy inherits from its [partent class](https://github.com/microsoft/autogen/blob/main/autogen/agentchat/contrib/math_user_proxy_agent.py.).\n",
+    "This agent is a customized MathUserProxy inherits from its [partent class](https://github.com/microsoft/autogen/blob/main/autogen/agentchat/contrib/math_user_proxy_agent.py).\n",
     "\n",
     "It supports using both function_call and python to solve math problems.\n"
    ]
@@ -265,7 +265,7 @@
     "\n",
     "MATAH dataset contains 12,500 challenging competition mathematics problems. Each problem in MATH has a full step-by-step solution which can be used to teach models to generate answer derivations and explanations. \n",
     "\n",
-    "We strctly follow the [train](https://github.com/lifan-yuan/CRAFT/blob/main/tab_and_math/MATH/dataset/train/algebra.jsonl)/[test](https://github.com/lifan-yuan/CRAFT/blob/main/tab_and_math/MATH/dataset/algebra.jsonl) splits of [Craft](https://github.com/lifan-yuan/CRAFT). Please specific your own path to the dataset. Here we sample the first 10 algebra problems as examples. "
+    "We strictly follow the [train](https://github.com/lifan-yuan/CRAFT/blob/main/tab_and_math/MATH/dataset/train/algebra.jsonl)/[test](https://github.com/lifan-yuan/CRAFT/blob/main/tab_and_math/MATH/dataset/algebra.jsonl) splits of [Craft](https://github.com/lifan-yuan/CRAFT). Please specific your own path to the dataset. Here we sample the first 10 algebra problems as examples. "
    ]
   },
   {
diff --git a/notebook/agentchat_groupchat_finite_state_machine.ipynb b/notebook/agentchat_groupchat_finite_state_machine.ipynb
index e24bb5bbbf3f..b5724159e461 100644
--- a/notebook/agentchat_groupchat_finite_state_machine.ipynb
+++ b/notebook/agentchat_groupchat_finite_state_machine.ipynb
@@ -91,7 +91,7 @@
     "## Motivation\n",
     "\n",
     "\n",
-    "The current GroupChat class allows transition to any agent (without or without the decision of LLM), some use case might demand for more control over transition. A graph is a possible way to control the transition paths, where each node represents an agent and each directed edge represent possible transition path. Let's illustrate the current transition paths for a GroupChat with five agents."
+    "The current GroupChat class allows transitioning to any agent (with or without the decision of the LLM), some use cases might demand for more control over transition. A graph is a possible way to control the transition paths, where each node represents an agent and each directed edge represents possible transition paths. Let's illustrate the current transition paths for a GroupChat with five agents."
    ]
   },
   {
diff --git a/notebook/agentchat_surfer.ipynb b/notebook/agentchat_surfer.ipynb
index dcbe6ee66bc2..b6a8c3327b73 100644
--- a/notebook/agentchat_surfer.ipynb
+++ b/notebook/agentchat_surfer.ipynb
@@ -152,7 +152,7 @@
    "metadata": {},
    "source": [
     "### Example 1: Search, summarize\n",
-    "- Search for information aobut Microsoft AutoGen\n",
+    "- Search for information about Microsoft AutoGen\n",
     "- Summarize the results\n",
     "- Visit the Getting Started Docs page"
    ]