1. Overview (Project Background)

As generative AI usage rapidly became mainstream, HappyCampus faced a situation requiring fundamental review of its existing seller-centric content distribution model.
With the proliferation of AI-based writing tools, the competitiveness of existing report and document content weakened, leading to simultaneous occurrences of user decline, revenue drop, and seller attrition, which also began to impact the overall quality and credibility of the service.

In particular, the decrease in content supply due to seller attrition became a factor weakening service differentiation, and as a result, it became clear that the existing model alone would be difficult to effectively respond to market changes.
In this changing environment, HappyCampus pursued this project with the goal of redefining service value centered on technology and transitioning the business model, rather than simply adding features.

Implementation Background / Problem Definition

• Rapid mainstream adoption of generative AI

• Decline in user numbers and revenue

• Content quality degradation due to seller attrition

• Limitations in differentiation of existing content models

• Emergence of need to reconsider business model from a long-term perspective

Goal Definition

Short-term Goal | Technology-based Service Improvement

• Apply generative AI technology to the service

• Provide users with differentiated writing experience and immediate value distinct from existing offerings

Medium-term Goal | Strengthen Current Service Competitiveness

• Provide expertise-focused content experience

• Activate community and restore user trust

Long-term Goal | Business Model Transition

• Discover new AI-based revenue models

• Establish sustainable service structure capable of responding to content market changes

2. Solution (Resolution Approach)

MegazoneCloud designed and built a new service structure centered on
generative AI-based automatic document draft generation service aligned with HappyCampus's business direction and goals.

Rather than simple AI application, iterative enhancement structure to improve actual user experience and service completeness was set as the core strategy.

Key Components

1. AI Writing Service System Construction

• Targeting core content types of HappyCampus such as reports and book reviews

• Implementing user service that automatically generates document drafts using generative AI

2. Document Type-Specific Dedicated API and Prompt Separation

• Configuring dedicated APIs for each document type reflecting characteristics such as reports and book reviews

• Separately designing prompts optimized for document purpose to

  • Accuracy of results

  • Consistency of document structure

  • User satisfaction improvement

3. Three-Round Feedback-Based Quality Enhancement

• Operating a total of three improvement cycles based on actual user feedback

• Continuously improving quality-degrading factors such as document flow, repetitive sentences, and unnatural expressions

4. Data Cleansing Logic Application

• Removing random character strings and unnecessary special characters generated during document creation

• Applying regex-based data cleansing logic to

  • Improve document completeness

  • Ensure readability and credibility

3. Result (Achievements)

Through this project, HappyCampus secured practical foundation for technology-centered service transition.

Key Achievements

1. Establishing Technical Foundation for User Experience Innovation

• Providing writing experience using generative AI

• From existing content consumption-focused service, securing possibility to transition to
  participatory service structure where users directly generate value

2. Ensuring Document Quality and Result Consistency

• Through three rounds of enhancement work

  • Removing unnecessary repetitive sentences

  • Stabilizing document table of contents and structure

• Significantly improving completeness and credibility of AI-generated document results

3. Securing Practical Starting Point for Business Model Reconsideration

• Beyond simple content distribution

  • Successfully providing technology-based differentiated value

• In rapidly changing content market environment
  Establishing foundation to transition to sustainable business model

Future Expansion and Enhancement Recommendations

HappyCampus's generative AI-based service is designed to enable continuous expansion aligned with technology trends and actual AI development pace.

• Long Output Upgrade

  • Current 4K token limit → Considering upward expansion

• Multi-Model Strategy

  • Model diversification according to service level and user needs

• Multi-Language Support

  • Securing multilingual report generation and global expansion possibilities

• Web Search Integration

  • Enhancing report generation through meta search-based material collection

• Interactive Report Recommendation

  • Based on department, subject, topic, and keyword

  • Providing interactive report generation experience in chatbot format