FeedLens is an AI-powered platform specifically designed for the efficient management of mobile app reviews. It utilizes advanced AI models to extract critical insights from thousands of reviews, automatically categorizes feedback, and offers contextual replies. This enables app developers and product teams to better understand user sentiments, address issues promptly, and enhance overall user experience. By automating the review management process, FeedLens reduces the manual effort required and allows teams to focus on continuous improvement of their applications.

LLM Coordination is a developer-focused framework that orchestrates interactions between multiple large language models to solve complex tasks. It provides a planning component that breaks down high-level goals into sub-tasks, a retrieval module that sources context from external knowledge bases, and an execution engine that dispatches tasks to specialized LLM agents. Results are aggregated with feedback loops to refine outcomes. By abstracting communication, state management, and pipeline configuration, it enables rapid prototyping of multi-agent AI workflows for applications like automated customer support, data analysis, report generation, and multi-step reasoning. Users can customize planners, define agent roles, and integrate their own models seamlessly.