Shaped offers an API designed for real-time recommendations, search, and discovery. Through advanced machine learning and data science, Shaped helps your users find the most relevant products and content by analyzing and ranking data in real-time. The platform integrates seamlessly with your current systems and provides scalable and reliable infrastructure to handle high volumes of dynamic requests, making it an ideal solution for personalized user experiences.

Agent-FLAN is designed to simplify the creation of sophisticated AI agent-driven applications by segmenting tasks into planning and execution roles. Users define agent behaviors and workflows via configuration files, specifying input formats, tool interfaces, and communication protocols. The planning agent generates high-level task plans, while execution agents carry out specific actions, such as calling APIs, processing data, or generating content with large language models. Agent-FLAN’s modular architecture supports plug-and-play tool adapters, custom prompt templates, and real-time monitoring dashboards. It seamlessly integrates with popular LLM providers like OpenAI, Anthropic, and Hugging Face, enabling developers to quickly prototype, test, and deploy multi-agent workflows for scenarios such as automated research assistants, dynamic content generation pipelines, and enterprise process automation.