Enhancing Content Generation with LinkedIn Examples in Devlog-ist/landing

Introduction

In the devlog-ist/landing project, which helps generate developer logs, a new feature focuses on improving the quality and relevance of generated content, specifically for LinkedIn. This involves storing LinkedIn post examples and prompts, then using these to guide content generation.

Storing LinkedIn Examples

The initial step involves creating and storing example LinkedIn posts and prompts. This allows the generation process to have a set of high-quality, pre-approved templates to work from. The linkedin_post_example_id is stored on posts to link them to specific examples.

Attaching Prompts During Generation

During content generation, the system now attaches relevant LinkedIn prompts. This ensures that the generated content is not only technically accurate but also tailored for the LinkedIn platform. This includes aspects like tone, style, and length.

Filtering Generation Information

The Generation Info section has been updated to filter and display portfolio and LinkedIn prompts separately. This provides a clear distinction between content intended for different platforms. Platform-scoped relations are used to manage the relationships between posts and prompts.

Benefits

• Improved Content Quality: By using pre-approved examples and prompts, the generated content is more likely to be engaging and relevant.
• Platform-Specific Tailoring: Separating portfolio and LinkedIn prompts allows for better customization of content for each platform.
• Efficient Content Creation: Streamlines the content creation process by providing ready-to-use templates and guidelines.

Example Implementation

Here's an illustrative example of how the filtering might work:

function filterPrompts(prompts, platform) {
  return prompts.filter(prompt => prompt.platform === platform);
}

const allPrompts = [
  { id: 1, text: 'Write a portfolio post about...', platform: 'portfolio' },
  { id: 2, text: 'Create a LinkedIn update summarizing...', platform: 'linkedin' }
];

const linkedinPrompts = filterPrompts(allPrompts, 'linkedin');
console.log(linkedinPrompts);

This JavaScript snippet demonstrates how prompts can be filtered based on the target platform.

Conclusion

By saving and displaying LinkedIn examples and prompts, the devlog-ist/landing project enhances its content generation capabilities, ensuring that the output is both high-quality and platform-appropriate. This leads to more effective communication and engagement across different channels.