diff --git a/autogpt/processing/text.py b/autogpt/processing/text.py
index 9391e0a0c28c..4687fb710caf 100644
--- a/autogpt/processing/text.py
+++ b/autogpt/processing/text.py
@@ -30,10 +30,10 @@ def split_text(
     Raises:
         ValueError: If the text is longer than the maximum length
     """
-    flatened_paragraphs = " ".join(text.split("\n"))
+    flattened_paragraphs = " ".join(text.split("\n"))
     nlp = spacy.load(CFG.browse_spacy_language_model)
     nlp.add_pipe("sentencizer")
-    doc = nlp(flatened_paragraphs)
+    doc = nlp(flattened_paragraphs)
     sentences = [sent.text.strip() for sent in doc.sents]
 
     current_chunk = []
diff --git a/docs/challenges/introduction.md b/docs/challenges/introduction.md
index 1d4041000a8e..63f570f268be 100644
--- a/docs/challenges/introduction.md
+++ b/docs/challenges/introduction.md
@@ -1,4 +1,4 @@
-indroduction.md
+introduction.md
 # Introduction to Challenges
 
 Welcome to the Auto-GPT Challenges page! This is a space where we encourage community members to collaborate and contribute towards improving Auto-GPT by identifying and solving challenges that Auto-GPT is not yet able to achieve.
diff --git a/tests/integration/goal_oriented/goal_oriented_tasks.md b/tests/integration/goal_oriented/goal_oriented_tasks.md
index 02e3c3436913..b06b371b2079 100644
--- a/tests/integration/goal_oriented/goal_oriented_tasks.md
+++ b/tests/integration/goal_oriented/goal_oriented_tasks.md
@@ -6,5 +6,5 @@ To know which one, you can run the following command:
 ```bash
 pytest -s -k tests/integration/goal_oriented
 
-If the test is successul, it will record new cassettes in VCR. Then you can just push these to your branch and the pipeline
+If the test is successful, it will record new cassettes in VCR. Then you can just push these to your branch and the pipeline
 will pass
diff --git a/tests/vcr/vcr_filter.py b/tests/vcr/vcr_filter.py
index 38e4cea674ce..892b8021fb6a 100644
--- a/tests/vcr/vcr_filter.py
+++ b/tests/vcr/vcr_filter.py
@@ -34,7 +34,7 @@ def replace_timestamp_in_request(request: Any) -> Any:
         return request
     body[
         "max_tokens"
-    ] = 0  # this field is incosistent between requests and not used at the moment.
+    ] = 0  # this field is inconsistent between requests and not used at the moment.
     for message in body["messages"]:
         if "content" in message and "role" in message:
             if message["role"] == "system":