HR Journalist ChatGPT Email Processing and Reply Generation

6 step formula and Tree Prompt engineering with JSON output

Objective Key Features and Workflow Tree Prompt Engineering with JSON Output 2. Automated Article Creation 3. Personalized Outreach 4. Seamless Integration Benefits Achieved Tools Used

Objective

The project aimed to streamline the process of extracting relevant article titles from incoming newsletters, generating content, and engaging with requesters by automating the entire workflow. This solution was designed to enhance productivity by focusing only on topics related to the HR and journalist knowledge domains.

Key Features and Workflow

1. Email Filtering and Extraction

• Incoming newsletter emails were analyzed to identify article titles.

• Using Make.com , logic was implemented to filter emails that contained titles pertinent to the HR or journalist domains, based on predefined keywords and criteria.

Tree Prompt Engineering with JSON Output

Tree Prompt Engineering provided a robust framework for ensuring AI-generated articles met high standards.

• Hierarchical Structure:

Each prompt was designed as a branching tree, starting from general topic exploration to detailed insights.

• JSON Output:

The AI-generated content was output as structured JSON, which:

• Allowed precise handling of data.

• Simplified automation in subsequent steps.

• Enabled easy validation and modification of content as required.

2. Automated Article Creation

• Once relevant titles were identified, the content creation process was triggered.

• Leveraging ChatGPT, detailed articles were generated based on the extracted titles. The articles were customized to meet the tone and requirements specified by the requester.

3. Personalized Outreach

• The system automated the process of responding to individuals who had requested articles or showed interest in specific topics.

• A personalized email, including the generated article, was sent back to the requester, ensuring timely and accurate delivery.

4. Seamless Integration

• The entire workflow was built and automated using Make.com , which served as the backbone for:

• Email parsing and filtering.

• Triggering the ChatGPT-based article creation.

• Sending personalized follow-ups.

Benefits Achieved

• Efficiency: Eliminated manual sorting and writing processes.

• Relevance: Ensured focus on HR and journalist-related content through tailored logic.

• Engagement: Improved response time and content quality for requesters.

• Scalability: The system can handle increased email volumes without additional overhead.

Tools Used

• Make.com: For end-to-end workflow automation.

• ChatGPT: To create engaging and relevant articles.

• Email Parsing Tool: Integrated to extract and analyze content efficiently.

This project showcases the potential of combining AI with automation platforms to deliver targeted, high-quality responses while significantly reducing manual effort.