PH Deck

Users previously relied on basic camera apps to capture visuals but struggled to see deeper meaning from visual content due to overwhelming ads and noise, limiting meaningful engagement.

Users manually code agent flows without visualization and lack modularity and reusability, leading to inefficiency in designing complex AI agent patterns.

Users rely on manual or fragmented tools for tasks like writing, SEO, and data processing, leading to inefficient workflows and lack of unified automation.

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

Developers and businesses face challenges in creating use-case specific agents that can robustly perform tasks due to the complexity and limitations of existing Large Language Model (LLM) frameworks, leading to inefficiencies and a lack of customization capabilities.

Users need to manually switch between different AI models or tools to compare outputs or simulate debates, leading to inefficiency and lack of real-time collaboration.

Users manually handle browser operations, command lines, and file systems separately, leading to inefficient and error-prone workflows due to lack of integration.

Users need to manually find or build AI agents for tasks, facing inefficient discovery and complex development processes without specialized platforms.

Current situation involves businesses using separate applications for various tasks and data management.

Integration and automation across multiple apps can be cumbersome and inefficient.

Users struggle to manually manage complex workflows across multiple apps, which leads to inefficient task execution and time-consuming coordination between tools