Experiments with AI – Structure of Third Party Agentic Apps (karankurani.com)

In a groundbreaking development, Careloop has introduced the concept of "Third Party Agentic Apps" (TPAAs), which revolutionizes app design by allowing developers to focus on defining expected outputs rather than building full-fledged applications with standard functionalities. Unlike traditional apps, TPAAs leverage AI models and agent harnesses to deliver highly customizable results tailored to user needs, eliminating rigid workflows and layouts. This approach marks a significant shift in application architecture, emphasizing high-level data management and user-specific behaviors while minimizing detailed coding responsibilities. TPAAs function as self-contained bundles that operate within specific agent harnesses, such as Claude Code or Codex, and can self-modify based on user interaction. This dynamism allows for real-time adaptation, including data ingestion and environment adjustments, which enhances user experience while reducing the developer's burden for maintenance and compatibility. However, this innovative structure introduces new challenges, such as ensuring security against supply chain attacks and managing varying outputs across different AI models and harnesses. As the AI community continues to explore the implications of TPAAs, addressing these questions will be crucial in defining the future of AI-driven application development.