EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 3·5 min read
Show HN: Product analytics (and evals) for agent sessions on your MCP
TL;DR
Armature provides product analytics for user sessions in AI applications, capturing user queries and agent responses to identify use cases and issues. It ranks sessions by success and failure rates, enabling developers to pinpoint and address user experience problems effectively.
✦ Why It Matters
Start using Armature to gain insights into user interactions and improve your AI application's performance today.
Key Takeaways
- Integrate Armature by generating an API key and updating deployment secrets.
- Analyze user sessions to identify common issues and improve agent responses.
- Utilize session replay to troubleshoot and understand user interactions.
- Ensure user privacy with automatic PII redaction in session data.
How It Works
Armature captures user sessions from AI applications, analyzing interactions to determine user intent and agent performance. It groups sessions by use cases and ranks them based on volume and success rates.
The tool's models scan for issues like failures and loops, providing insights into user experience even when API responses are successful. Each session can be replayed in full, allowing developers to pinpoint where issues occur.