PH Deck

Students struggle to grasp complex topics using traditional learning methods, which can lead to gaps in understanding and inefficient study habits.

Users face challenges in generating comprehensive AI-powered reports from web search results.

Drawbacks of the old solution: Manual report generation is time-consuming, prone to errors, and lacks the scalability needed for large datasets.

Users struggle to access senior designers specialized in AI product and SaaS design, leading to generic outputs, slow turnaround times, and misaligned brand strategies.

Users struggle to actively seek out learning materials and maintain consistency in traditional learning platforms, leading to fragmented progress and abandoned habits

Current AI research tools like OpenAI's Deep Research require enterprise licenses.

High cost and reliance on third-party APIs.

Design education often requires substantial financial investment and lacks personalized guidance, making it difficult for users to find affordable, comprehensive learning opportunities substantial financial investment and lacks personalized guidance.

Users previously relied on multiple disjointed design tools for different tasks, leading to inefficiencies, workflow fragmentation, and higher costs.

Users conducting extensive research struggle to efficiently browse and analyze large volumes of text, images, and PDFs across the internet. The drawbacks of the old situation include the need for manual browsing and data collection, which is time-consuming and can lead to incomplete or biased results.

Students and learners rely on traditional methods like access to physical classrooms or tutors and limited personalized resources, leading to inflexible schedules and inconsistent learning outcomes.

Users currently rely on manual research processes to gather insights from workplace apps and documents, leading to time-consuming, inefficient workflows and delayed decision-making.