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generativeAI_tasks_gaiasystem.md

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These tasks are indeed logical and practical applications of Generative AI. They are structured to help both the public and admin sides of your system as well as mobile enhancements, making good use of AI's capabilities to automate processes and provide valuable suggestions or generate content. Here's a breakdown of why each task makes sense and how AI could handle them:

PUBLIC-SIDE GENERATIVE AI TASKS

  1. Scraping New or Old Books (of the Greek Market) Based on c_book Table

    • Logical Use: AI-powered web scraping can systematically gather book data from Greek market sources and cross-reference it with your c_book table, ensuring new data is constantly integrated.
    • Generative Potential: Based on missing or outdated data, AI can create records and suggest book information to enrich the existing database.

  2. Adding Summary, Tags, Classification Based on Existing JSON Classification

    • Logical Use: For any c_book record with null fields, AI can generate summaries, classify books, and suggest tags based on natural language processing (NLP) and existing JSON classifications.
    • Generative Potential: AI models like GPT can generate summaries and keywords by analyzing similar books or sources to fill gaps.

  3. Improving Small Photos for Publishers, Writers, Books

    • Logical Use: AI can enhance image quality using upscaling models like super-resolution techniques.
    • Generative Potential: AI can enhance or regenerate small, low-quality images, making them clearer for display purposes.

  4. Writing Posts for the Book Journal Using Data from Greek Websites

    • Logical Use: Content automation through AI can pull data from Greek websites and generate blog posts or book reviews based on extracted information.
    • Generative Potential: AI can generate drafts of articles, summaries of news, or opinion pieces based on trends in the book industry.

  5. Providing or Generating DALLE Photos for Slideshows in Cubos

    • Logical Use: Use AI to generate visually appealing slides for book promotions or other purposes.
    • Generative Potential: With DALLE (or similar models), AI can generate relevant book cover designs, slides for presentations, or visual content for the site.

  6. Suggesting CSS Enhancements

    • Logical Use: AI can analyze the current CSS codebase and suggest improvements for better design, load times, or responsiveness.
    • Generative Potential: AI tools can help propose new styles, better typography, or design improvements based on best practices in web design.

ADMIN-SIDE GENERATIVE AI TASKS

  1. Generating One-File Cubos Based on Specific Plan

    • Logical Use: AI could automate the generation of cubos—modular HTML, CSS, and JavaScript components—by following a pre-defined structure.
    • Generative Potential: It can automatically generate optimized one-file modules to simplify frontend development.

  2. Creating and Getting Data, Metrics from Analytics

    • Logical Use: AI can automatically gather data from analytics sources and create meaningful reports.
    • Generative Potential: AI could produce reports, charts, and insights directly, identifying key metrics and trends based on collected data.

  3. Adding Subtasks to DB

    • Logical Use: AI can detect incomplete tasks or suggest subtasks for larger projects based on progress and available resources.
    • Generative Potential: By evaluating patterns, AI can automatically create subtasks to ensure smooth workflow management.

  4. Filling in Missing or Unfinished Modules (e.g., SEO, Advertisers)

    • Logical Use: AI can analyze the system for incomplete modules and suggest or even help generate the necessary code.
    • Generative Potential: AI can generate SEO recommendations, create advertiser slots, or even suggest integration opportunities with minimal human intervention.

  5. Suggesting Resources

    • Logical Use: Based on project requirements or gaps in existing work, AI can suggest external libraries, APIs, or tools.
    • Generative Potential: AI can analyze the codebase and recommend useful packages or technologies for improving the system.

  6. Suggesting Upgrades of Themselves

    • Logical Use: Self-improving AI models could suggest improvements to their own algorithms, capabilities, or integration points.
    • Generative Potential: AI can assess its own performance and suggest retraining, new models, or enhanced parameters based on usage trends.

  7. Suggesting New Available Important Integrations

    • Logical Use: AI can keep track of recent integrations, tools, or libraries relevant to the system and suggest what could be beneficial.
    • Generative Potential: Automatically stay up to date with the latest tech innovations and propose integrations that enhance the system.

  8. Suggesting Improvement in Solr & Elasticsearch Cubos

    • Logical Use: AI can analyze the current search setup (Solr & Elasticsearch) and suggest ways to optimize indexing, querying, or clustering.
    • Generative Potential: AI can fine-tune search parameters, caching strategies, and performance metrics for better search experience.

  9. Server Monitoring

    • Logical Use: AI can proactively monitor server health, predict potential failures, and send alerts.
    • Generative Potential: It can use predictive analytics to suggest server optimizations, recommend scaling solutions, and detect anomalies.

  10. Suggesting Existing Codebase Updates

  • Logical Use: Based on the latest updates in frameworks, libraries, or language versions, AI can suggest areas in the codebase to update.
  • Generative Potential: AI could create refactoring suggestions or even partially rewrite outdated code.
  1. Testing
  • Logical Use: AI could help with automating the creation of unit tests or suggesting tests based on changes in the codebase.
  • Generative Potential: Generate new test cases for code validation and testing completeness, improving overall coverage and quality.

MOBILE-SIDE GENERATIVE AI TASKS

  1. Suggesting Updates of the Next React Native Version
    • Logical Use: AI can analyze the existing React Native codebase and suggest updates in line with the latest version releases.
    • Generative Potential: The AI could flag deprecated methods, suggest new API usage, or recommend performance improvements with the new version.

Key Benefits of These Tasks:

  • Automation: Most of these tasks are automated and will save time for manual labor like content creation, scraping, testing, and writing.
  • Scalability: By leveraging AI, these processes can be scaled efficiently without human intervention.
  • Consistency: AI ensures that tasks such as content generation, CSS enhancements, or SEO improvements are consistent and follow best practices.
  • Optimization: AI can identify inefficiencies in real-time (such as server issues, slow search performance) and suggest corrective actions.
  • Personalization: Generated summaries, posts, or suggestions will be more personalized based on data patterns and user behavior.

Triggering these tasks through cron jobs at key intervals throughout the day would allow your systems to operate with minimal input while continuously improving and generating value.