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 rely on older AI models with limited coding, reasoning, and memory capabilities, hindering complex task performance and AI agent efficiency.

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.

Developers manually select, organize, and share code files for AI/LLM interactions, which causes inefficient workflow, excessive token consumption, and potential inclusion of irrelevant files.

Users manually manage each coding and prompting step in development workflows, leading to time-consuming and error-prone processes due to disjointed execution.

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