PH Deck

Users currently manually create dungeon scenarios or depend on online tools, facing issues like dependency on internet connectivity, limited customization, and potential privacy concerns.

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

Users rely on cloud-based AI services requiring internet and uploading sensitive documents/images, leading to privacy risks and dependency on internet connectivity

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 face a situation where determining if their hardware can support running a specific LLM model is challenging.

The old solution involves manually checking hardware specifications and compatibility issues with LLM models.

The drawbacks include the time-consuming and potentially confusing process of assessing compatibility individually for each model and hardware setup.

Users rely on online-only AI tools requiring constant internet connectivity, facing dependency on internet connectivity and potential security risks with data processed online.

Users previously relied on traditional palmistry consultations, which require in-person visits to specialists and often involve subjective interpretations of palm lines.

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

Users face the challenge of running AI models privately without a consistent internet connection.

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