diff --git a/LangChain Cookbook Part 1 - Fundamentals.ipynb b/LangChain Cookbook Part 1 - Fundamentals.ipynb
index 0467f4b..8df35a5 100644
--- a/LangChain Cookbook Part 1 - Fundamentals.ipynb	
+++ b/LangChain Cookbook Part 1 - Fundamentals.ipynb	
@@ -1573,7 +1573,7 @@
     "\n",
     "The language model that drives decision making.\n",
     "\n",
-    "More specifically, an agent takes in an input and returns a response corresponding to an action to take along with an action input. You can see different types of agents (which are better for different use cases) [here](https://python.langchain.com/en/latest/modules/agents/agents/agent_types.html)."
+    "More specifically, an agent takes in an input and returns a response corresponding to an action to take along with an action input. You can see different types of agents (which are better for different use cases) [here](https://python.langchain.com/en/latest/modules/agents/agent_types.html)."
    ]
   },
   {
diff --git a/README.md b/README.md
index 54671cb..955be33 100644
--- a/README.md
+++ b/README.md
@@ -31,6 +31,7 @@ Prompt Engineering (my favorite resources):
 | Project    | Contact | Difficulty | Open Sourced? |  Notes | 
 | - | ----------- | ---------- | :-: | ---------- |
 | [SummarizePaper.com](https://www.summarizepaper.com/)      | Quentin Kral       | 🐒 Intermediate | ✅ [Code](https://github.com/summarizepaper/summarizepaper) | Summarize arXiv papers | 
+| SlackSummarizerPlugin      | Matias Sandacz      | 🐒 Intermediate | ✅ [Code](https://github.com/matisandacz/SlackSummarization) | Summarize Slack Conversations | 
 
 <br>
 
@@ -101,4 +102,4 @@ As an open-source project in a rapidly developing field, we are extremely open t
 
 Submit a PR with notes.
 
-This repo and series is provided by [DataIndependent](https://dataindependent.com/) and run by [Greg Kamradt](https://twitter.com/GregKamradt)
\ No newline at end of file
+This repo and series is provided by [DataIndependent](https://dataindependent.com/) and run by [Greg Kamradt](https://twitter.com/GregKamradt)
diff --git a/data_generation/Expert Structured Output (Using Kor).ipynb b/data_generation/Expert Structured Output (Using Kor).ipynb
index 9ae29fa..7a5bb37 100644
--- a/data_generation/Expert Structured Output (Using Kor).ipynb	
+++ b/data_generation/Expert Structured Output (Using Kor).ipynb	
@@ -187,7 +187,7 @@
     "    My sister's name is Rachel.\n",
     "    My brother's name Joe. My dog's name is Spot\n",
     "\"\"\"\n",
-    "output = chain.predict_and_parse(text=(text))[\"data\"]\n",
+    "output = chain.run(text=(text))[\"data\"]\n",
     "\n",
     "printOutput(output)\n",
     "# Notice how there isn't \"spot\" in the results list because it's the name of a dog, not a person."
@@ -218,7 +218,7 @@
     }
    ],
    "source": [
-    "output = chain.predict_and_parse(text=(\"The dog went to the park\"))[\"data\"]\n",
+    "output = chain.run(text=(\"The dog went to the park\"))[\"data\"]\n",
     "printOutput(output)"
    ]
   },
@@ -300,7 +300,7 @@
     "text=\"Palm trees are brown with a 6 rating. Sequoia trees are green\"\n",
     "\n",
     "chain = create_extraction_chain(llm, plant_schema)\n",
-    "output = chain.predict_and_parse(text=text)['data']\n",
+    "output = chain.run(text=text)['data']\n",
     "\n",
     "printOutput(output)"
    ]
@@ -402,7 +402,7 @@
     "\n",
     "# Changed the encoder to json\n",
     "chain = create_extraction_chain(llm, cars_schema, encoder_or_encoder_class=\"json\")\n",
-    "output = chain.predict_and_parse(text=text)['data']\n",
+    "output = chain.run(text=text)['data']\n",
     "\n",
     "printOutput(output)"
    ]
@@ -529,7 +529,7 @@
    ],
    "source": [
     "chain = create_extraction_chain(llm, schema, encoder_or_encoder_class='json')\n",
-    "output = chain.predict_and_parse(text=\"please add 15 more units sold to 2023\")['data']\n",
+    "output = chain.run(text=\"please add 15 more units sold to 2023\")['data']\n",
     "\n",
     "printOutput(output)"
    ]
@@ -891,7 +891,7 @@
     }
    ],
    "source": [
-    "output = chain.predict_and_parse(text=text)[\"data\"]\n",
+    "output = chain.run(text=text)[\"data\"]\n",
     "\n",
     "printOutput(output)"
    ]
@@ -1027,7 +1027,7 @@
    ],
    "source": [
     "chain = create_extraction_chain(llm, salary_range)\n",
-    "output = chain.predict_and_parse(text=text)[\"data\"]\n",
+    "output = chain.run(text=text)[\"data\"]\n",
     "\n",
     "printOutput(output)"
    ]
@@ -1070,7 +1070,7 @@
    ],
    "source": [
     "with get_openai_callback() as cb:\n",
-    "    result = chain.predict_and_parse(text=text)\n",
+    "    result = chain.run(text=text)\n",
     "    print(f\"Total Tokens: {cb.total_tokens}\")\n",
     "    print(f\"Prompt Tokens: {cb.prompt_tokens}\")\n",
     "    print(f\"Completion Tokens: {cb.completion_tokens}\")\n",