PH Deck

Users struggle with writing effective AI prompts manually, leading to suboptimal results and inefficiency when interacting with AI models like ChatGPT, Gemini, or Claude.

Professionals in HR, sales, and marketing manually create and manage AI prompts for tasks like content generation and customer engagement, leading to inefficiency, inconsistency, and redundant efforts.

Users manually manage AI prompts using disjointed tools like notes or spreadsheets, leading to disorganization, inefficient sharing, and inability to monetize prompts

Creative professionals manually create AI prompts for their workflows, leading to time-consuming processes and inconsistent output quality.

Users struggle to achieve studio-quality portrait results when using Google Gemini for photo editing due to generic or uninspired prompts

Users manually create prompts for AI video generation, facing time-consuming and inconsistent quality in generating professional content across diverse scenarios.

Traditional prompt engineering is complex and inaccessible for those without significant AI experience, making it challenging for users to effectively interact with large language models (LLMs) to obtain useful responses. The complexity and inaccessibility of traditional prompt engineering are the main drawbacks.

Users manually create scripts and content ideas from videos, which is time-consuming and inefficient.

Users experience confusion and inefficiency due to disorganized prompts, leading to wasted time and decreased productivity in creating and managing AI-generated content. The drawbacks include confusion and inefficiency.

Users struggle to manually create effective prompts for AI models, leading to time-consuming trial-and-error processes and suboptimal outputs.