PH Deck

The current situation involves developers and data scientists facing the challenge of efficiently coding and reasoning tasks.

The drawbacks of this old situation include the need to manually handle complex code logic and reasoning issues, leading to increased development time and potential errors.

Users currently rely on separate tools for instant responses and step-by-step thinking. The drawback here is that switching between different tools can be inefficient and disrupts the workflow, leading to a fragmented experience.

Users need AI tools capable of handling complex tasks like reasoning, math, coding, multilingual understanding, and vision with safety and accuracy, but many existing models lack specialization, safety, and precision in these areas.

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 face challenges in coding, such as slow development processes, lack of innovative project ideas, and insufficient guidance during coding projects.

Traditional QR codes are plain and not engaging, leading to a lack of interest and interaction from potential users. The plain and not engaging nature of traditional QR codes.

Users face the hassle of login or registration for using AI chat services

The current situation is that users are using older AI models to perform various AI-related tasks.

Drawbacks of these older models include: limited capabilities and lower accuracy when solving complex AI tasks.

Learning to code can be challenging for beginners due to complex concepts and lack of personalized guidance. Traditional learning resources often fail to provide comprehensive explanations tailored to individual learning paces.

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