PH Deck

Users need to manually handle interactions with different LLMs (cloud-based and local), requiring switching between platforms and custom scripts. manually switching between cloud and local LLMs leads to inefficiency, fragmented workflows, and reduced productivity.

Users rely on online AI models requiring internet access and accounts, leading to privacy risks and dependency on connectivity

Users need guidance and personalized support without feeling annoyed or overwhelmed by traditional methods.

Database administrators and SQL developers manually write and troubleshoot complex SQL queries, which is time-consuming and error-prone.

Users previously managed local AI models through platforms requiring complex server setups and installations, leading to time-consuming deployments and limited accessibility.

Users rely on cloud-based AI services requiring internet and uploading sensitive documents/images, leading to privacy risks and dependency on internet connectivity

Users require assistance with answering questions, generating content, and coding help but face sign-ups and paid subscriptions which restrict access and convenience.

Users rely on multiple fragmented tools for tasks like chatting, writing, coding, and planning, leading to inefficiency and workflow disruptions.

Users previously relied on traditional customer support methods (e.g., human agents, basic chatbots) but faced limited availability outside business hours and high operational costs.

Users may struggle with daily tasks and need assistance