Improving Content Generation with Contextual LinkedIn Prompts

Introduction

The devlog-ist/landing project focuses on streamlining content creation. A recent enhancement ensures that when generating content, especially for platforms like LinkedIn, the appropriate prompts and examples are included to tailor the output effectively.

The Problem

Previously, the content generation process within the PostResource's generate_with_prompt action had a critical oversight. It was creating GenerationRequest instances without incorporating LinkedIn-specific prompts or examples. This resulted in generic content ill-suited for the LinkedIn platform, missing the nuance and context needed for engaging professional audiences.

The Solution

The fix involves ensuring that the GenerationRequest includes the necessary LinkedIn post prompt identifiers (linkedinPostPromptIds) and a LinkedIn post example identifier (linkedinPostExampleId). This ensures the content generation process leverages permanent LinkedIn prompts and the latest active example to guide the creation of LinkedIn-targeted content.

Consider this illustrative example demonstrating the content generation process incorporating LinkedIn-specific prompts:

class ContentGenerator
{
    public function generateLinkedInPost(string $topic, array $prompts, string $example):
    string
    {
        $promptText = implode("\n", $prompts);
        $context = "Topic: {$topic}\nLinkedIn Prompts: {$promptText}\nExample: {$example}";

        // Simulate the content generation using the context
        $generatedContent = "LinkedIn-ready content based on: " . $context;

        return $generatedContent;
    }
}

$generator = new ContentGenerator();
$topic = "AI in Marketing";
$prompts = ["Focus on practical applications", "Keep it concise and professional"];
$example = "An engaging post about using AI tools for marketing automation.";

$linkedInPost = $generator->generateLinkedInPost($topic, $prompts, $example);
echo $linkedInPost;

In this simplified example, the ContentGenerator class now considers LinkedIn-specific prompts and examples during content creation. The generated content will be tailored to fit the LinkedIn platform, making it more relevant and engaging for users.

Key Insight

By incorporating platform-specific prompts and examples into the content generation process, developers can ensure that the output is highly relevant and tailored for the intended audience. This leads to more effective communication and engagement across different platforms. Always ensure your content generation logic considers the context of where the content will be published.