PH Deck

Users face fragmented methods for AI agents to interact with front-end apps, leading to inefficient integration, lack of real-time streaming, and limited human-in-the-loop workflows.

Users rely on manual scripting and maintenance of browser automation scripts, leading to inefficiency, errors, and scalability challenges.

Users face time-consuming and inflexible development processes when creating AI agents, struggling with challenges in integrating various LLMs and workflows using traditional coding methods.

Users previously had to manually code and script to orchestrate AI agents, which was time-consuming, technically complex, and limited scalability. Additionally, collaborative workflows between AI agents were hard to visualize and manage.

Users face challenges in creating UIs visually using React components and shadcn/ui, especially for projects like building landing pages or marketing emails.

Drawbacks: Current solutions may require coding knowledge and lack a no-code, visual interface, making the UI creation process complex and time-consuming.

Users require advanced large language models (LLMs) for commercial applications but face limitations with proprietary models such as high costs, restrictive licenses, and limited customization.

Businesses attempting to integrate AI and automation technologies often struggle with the complexity and rigidity of traditional RPA tools, which rely heavily on brittle code selectors or computer vision.

Users need to manually discover and share AI agents compatible with the A2A protocol, leading to fragmented ecosystems and inefficient collaboration.

Currently, users managing Apache Kafka clusters typically rely on CLI (Command Line Interface) tools or outdated interfaces, which can be cumbersome and time-consuming. The old situation often involves complex commands and lack of intuitive control, making it difficult for non-technical users to effectively operate the clusters. The process is error-prone with potential for mismanagement, leading to ineffective use of Kafka's capabilities.

Complex commands, lack of intuitive control, and difficulty for non-technical users

Developers and designers often struggle with creating visually appealing, responsive UIs due to the time-consuming nature of designing from scratch. The key drawbacks are the time-consuming nature of designing UI from scratch and the difficulty in ensuring visual appeal and responsiveness.