PH Deck

Currently, users face challenges in creating, testing, running, and deploying AI agents. The old solution involves manual setup and coding expertise, which can be cumbersome and time-consuming.

Drawbacks of the old situation include the need to manual setup and coding expertise, which can be cumbersome and time-consuming.

In the current situation, users such as sales, RevOps, and go-to-market leaders rely on hiring human workers for their revenue team tasks. This often involves hiring hassles and incurs significant costs, potentially reaching $10,000's.

Sales, RevOps, and go-to-market leaders often rely on hiring human employees for revenue generation, which incurs significant costs and manpower management hassles. The drawbacks of this old situation include hiring hassles and saving costs significantly.

Users struggle to find suitable and authentic AI agents for their specific needs, leading to inefficiencies in operations, task automation, and delivery of complex solutions.

Users might struggle to engage in meaningful and interactive conversations, find AI tools, or streamline their day-to-day activities efficiently.

Users need to switch between multiple AI platforms (e.g., ChatGPT, Claude, Cursor) for different tasks, requiring manual integration, fragmented workflows, and API credits.

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

Users have limited access to AI chatbot tools due to high costs and subscription fees

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.