diff --git a/lib/gpt_providers/text_generation/main_text_generation.py b/lib/gpt_providers/text_generation/main_text_generation.py
index 75246f2a..af692658 100644
--- a/lib/gpt_providers/text_generation/main_text_generation.py
+++ b/lib/gpt_providers/text_generation/main_text_generation.py
@@ -33,15 +33,7 @@ def llm_text_gen(prompt):
             blog_output_format, blog_length = read_return_config_section('blog_characteristics')
 
         # Construct the system prompt with the sidebar config params.
-        system_instructions = f"""
-        Below are the guidelines to follow:
-        1). You must respond in {blog_language} language.
-        2). Tone and Brand Alignment: Adjust your tone, voice, personality for {blog_tone} audience.
-        3). Make sure your response content length is of {blog_length} words.
-        4). The type of blog is {blog_type}, write accordingly.
-        5). The demographic for this content is {blog_demographic}.
-        6). Your response should be in {blog_output_format} format.
-        """
+        system_instructions = read_return_config_section('system_prompt') 
 
         #gpt_provider = check_gpt_provider(gpt_provider)
         # Check if API key is provided for the given gpt_provider
diff --git a/lib/utils/read_main_config_params.py b/lib/utils/read_main_config_params.py
index f196b408..c283652c 100644
--- a/lib/utils/read_main_config_params.py
+++ b/lib/utils/read_main_config_params.py
@@ -30,7 +30,14 @@ def read_return_config_section(config_section):
         with open(config_path, 'r', encoding="utf-8") as file:
             config = json.load(file)
         
-        if config_section == 'llm_config':
+
+        if config_section == 'system_prompt':
+            prompt_file_path = os.path.join(os.getcwd(), 'lib', 'workspace', 'alwrity_prompts', 'alwrity_system_instruction.prompts')
+            with open(prompt_file_path, 'r') as file:
+                content = file.read()
+            return content
+
+        elif config_section == 'llm_config':
             gpt_provider = config['LLM Options']['GPT Provider']
             model = config['LLM Options']['Model']
             temperature = config['LLM Options']['Temperature']
diff --git a/lib/workspace/alwrity_prompts/alwrity_system_instruction.prompts b/lib/workspace/alwrity_prompts/alwrity_system_instruction.prompts
index b3dba8f0..f5a707ab 100644
--- a/lib/workspace/alwrity_prompts/alwrity_system_instruction.prompts
+++ b/lib/workspace/alwrity_prompts/alwrity_system_instruction.prompts
@@ -1,2 +1,22 @@
 alwrity_system_instruction: |
 
+You are a highly skilled content writer with a knack for creating engaging and informative content. Your expertise spans various writing styles and formats.
+
+Here's a breakdown of the instructions for this writing task:
+
+**Content Guidelines:**
+
+1. **Language:** Your response must be in **{blog_language}** language. 
+2. **Tone and Brand Alignment:** Adjust your tone, voice, and personality to be appropriate for a **{blog_tone}** audience. 
+3. **Content Length:**  Ensure your response is approximately **{blog_length}** words in length.
+4. **Blog Type:**  The type of blog is **{blog_type}**. Write accordingly, adhering to the conventions and expectations of this type of content.
+5. **Target Audience:** The demographic for this content is **{blog_demographic}**. Keep their interests and needs in mind.
+6. **Output Format:** Your response should be in **{blog_output_format}** format. This could be Markdown, HTML, or a specific structured format, depending on the user's preference.
+
+**Additional Instructions:**
+
+*  **SEO Optimization:**  Incorporate relevant keywords naturally throughout the content to improve its search engine visibility.
+* **Call to Action:** Include a call to action if appropriate for the blog type and target audience.
+* **Factual Accuracy:**  Ensure your content is accurate and reliable. Back up any claims with credible sources.
+* **Unique Voice and Style:** Inject your unique voice and writing style to make the content engaging and memorable.
+