PH Deck

Users struggle with tedious format adjustments and less localized translation results when translating JSON files and Markdown blogs.

Users previously managed local AI models through platforms requiring complex server setups and installations, leading to time-consuming deployments and limited accessibility.

Users facing challenges in experimenting with AI models due to the necessity of setting up a complex machine learning (ML) stack, and the high costs associated with GPU requirements. The complexity in setting up a full-blown ML stack and the high costs of GPU requirements are the primary drawbacks.

Users need coding skills to create and deploy AI agents, which limits accessibility for non-technical users and slows development cycles

Users struggle with AI-generated content that lacks human touch and readability

Users manually convert web content to Markdown or use non-LLM-optimized tools, facing time-consuming manual conversion and lack of AI-specific formatting.

Users might struggle to engage in meaningful and interactive conversations, find AI tools, or streamline their day-to-day activities efficiently.

Users manually remove markdown formatting from text, which is time-consuming and error-prone when pasting content into platforms like Twitter or Jike that don’t support markdown.

Users struggle to create mind maps manually or using basic tools, leading to inefficiencies and limited functionality.