ShapeShyft

AI is indeterministic. This indeterministic nature creates unpredictability for any apps with AI. It creates the hallucination problem, especially when you have to use multiple agents to handle a complex problem. Agents from different developers are rarely compatible as the result. One agent's output may cause confusion for the next agent. And an agent working greatly for one LLM can be disastrous for another one. When you need to retrieve information, or execute transactions, you are supposed to use MCP, which is an indeterministic layer on top of deterministic endpoints or commands. ShapeShyft is a new approach to using AI. Instead of having end-to-end LLM, stay with the API you are familiar with, and only add AI when needed. To make it better, the AI is provided as a traditional endpoint, with structured request and responses. 1. Easy to integrate with existing apps. You only need to add an AI endpoint for the part only AI can do. 2. Fast. By limiting the scope of AI in your app, it is way faster than having LLM drive the complete app. 3. Cheap. Reduce your token cost. 4. With structured data, you can stay with polished structured UI/UX, instead of text interface. This approach comes from our own effort to integrate AI into many of our apps, and we are our own customers. We already use it as an internal tool, and have several products in the pipeline to take advantage of this approach.