PH Deck

Developers manually create and manage coding rules for AI tools like GitHub Copilot, leading to inconsistent standards, duplicated efforts, and lack of community validation

Users rely on multiple separate AI design tools for different tasks, leading to fragmented workflows, time-consuming tool-switching, and higher cumulative costs.

Developers manually search and evaluate AI coding tools, leading to inefficient discovery and time-consuming research.

Users manually search for AI tools across various platforms and sources, leading to time-consuming and inefficient discovery and comparison, difficulty staying updated with emerging tools, and challenges in evaluating tools based on features, pricing, and user reviews.

Users struggle to find the perfect AI tools quickly, leading to inefficiencies in work processes.

Users with creative or business needs often struggle with the technical complexities of developing AI applications. These applications could significantly enhance their projects or operations, but the lack of coding skills and the high barrier to entry with traditional programming environments prevent many from leveraging the benefits of AI.

Users are currently trying to find and utilize AI tools individually for tasks like writing, design, and translation. The drawbacks include the time-consuming process of searching for and evaluating multiple tools, which can be inefficient and overwhelming.

Users manually search for AI tools across multiple platforms, leading to time-consuming research and ineffective comparison of features, pricing, and user reviews.

Designers often struggle with finding efficient tools for various design tasks, leading to time-consuming searches and less optimal design processes.

Developers and designers manually share and manage UI code across multiple platforms, leading to inefficient discovery and organization of AI-generated UI examples.