PH Deck

Enterprises currently struggle with AI models that have limited context windows and high rates of hallucinations, leading to less effective and trustworthy AI interactions.

Users previously had to manually integrate tools with open-source LLMs, facing challenges with complex setup, unreliable tool calls, and lack of standardization.

Users struggle to find what tools makers are using to build, launch, and promote their products, which hinders their ability to effectively select and utilize tools for their own projects.

Users manually track token usage in Claude conversations, leading to unexpected context limits and disrupted workflows due to lack of real-time visibility.

Users need to calculate input token counts and costs for AI models manually for over 160 models, which is time-consuming and error-prone.

Users struggle with finding and assessing digital tools for enhancing their workflow across development, design, and productivity. The old approach involves manually searching for each tool and evaluating its features, pricing, and compatibility. The drawbacks of this method include time-consuming searches and lack of centralized information on essential tools.

Users struggle to find the perfect AI tools quickly, leading to inefficiencies in work processes.

Users face challenges with multiple tools for different development tasks

Lack of security and offline accessibility in existing developer tools

Users need to use multiple separate tools for SEO, text, image, and file management tasks, leading to inefficiency, higher costs, and fragmented workflows

Users who work with digital content creation face the challenge of accessing different tools they need for tasks, as they have to rely on separate platforms for each type of utility.

The drawbacks of this old situation include having to manage multiple logins, interfaces, and possibly costs, which can be inefficient and time-consuming.