PH Deck

Users seeking efficient interaction with AI models for decision-making often experience slow response times and a lack of direct action from AI, leading to decreased productivity and extended workflows due to the slow response times and lack of direct action.

Digital marketers and advertisers struggle with creating engaging and effective Call-To-Actions (CTAs) for content that is not embeddable, leading to lower conversions and less effective marketing campaigns.

Teams often struggle with efficiently accessing and interpreting existing documentation to find information, learn from past projects, and onboard new members, leading to decreased productivity and increased frustration due to the difficulty in finding specific answers quickly within their workspace documentation.

Users struggle to create custom GPT actions and integrate them with various apps, facing complexity in automation and integration without coding expertise.

Users struggle to obtain accurate answers to complex questions using traditional search engines, which often require sifting through multiple sources and interpreting the information themselves. The drawbacks of this old situation include time consumption and potential inaccuracies in understanding and aggregating different pieces of information.

Users **find it difficult to get things done, generate AI images, and obtain quick answers** on different platforms efficiently, which can lead to wasted time and frustration.

Content creators frequently use AI to generate text, but this AI-generated content often struggles to pass as human-written due to its detectable patterns, leading to challenges in evading AI detectors. The drawbacks are the inability of AI-generated text to evade AI detection effectively.

Teams struggle with efficiently conducting and managing video meetings, including difficulties in transcribing, recording, searching, and sharing key moments. The ineffective management of meetings leads to lost information and decreased productivity.

Professionals often need to process meeting notes manually, which is time-consuming and prone to errors.

Users face challenges distinguishing between human-written and AI-generated text, leading to concerns about authenticity and credibility. The inability to detect AI-generated content creates issues in academic integrity, content originality, and trustworthiness.