PH Deck

Users manage team workflows and communications through manual coordination in standard group chats or project management tools, leading to high coordination overhead and slow decision-making cycles due to disjointed human-AI interactions.

Users rely on manual customer support and basic chatbots, leading to inefficient customer engagement processes and high operational costs.

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 need to manually switch between different AI models or tools to compare outputs or simulate debates, leading to inefficiency and lack of real-time collaboration.

Users rely on manual scripting and separate tools for task automation (e.g., PowerShell execution, website automation), which requires coding expertise, time-consuming setup, and lacks visual workflow orchestration.

Users rely on generic AI chatbots without personalization, leading to less tailored interactions and limited adaptability to specific needs.

Users manage AI agents outside Slack, requiring external infrastructure setup and facing scaling difficulties. Infrastructure setup, scaling challenges

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

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

Users often struggle to compare responses from different AI models in a single interface, requiring multiple subscriptions or setups. Additionally, users cannot easily conduct AI-to-AI chat simulations or observe interactions among multiple models, limiting their ability to analyze and choose the most suitable AI.