Case Study: Unstuck AI improves agent monitoring and prioritization with Raindrop

How Unstuck AI monitors their learning agents with Raindrop

Unstuck AI, a popular academic copilot tool with over 2 million users, was challenged with monitoring the performance of its AI learning agents. As the team expanded the tool's capabilities, they needed an effective solution to quickly identify issues and understand how new features were performing for their users. They turned to the vendor, Raindrop, to implement its agent-native monitoring platform.

The solution from Raindrop provided Unstuck AI with real-time notifications and a dashboard to monitor agent performance. This allowed the team to quickly catch and resolve tool-use issues, such as incomplete lecture summaries, and to see the immediate impact of their fixes. The insights gained also directly influenced product roadmaps, leading to the successful launch of new features like flashcards and quizzes. Raindrop became so integral that its parent company, Oleve, now integrates it from the start in all new AI products.

Unstuck AI

Sid Bendre

Chief Technology Officer