Blog
Introducing Agent Self Diagnostics
Your AI agent already knows what's going wrong. Now it can tell you. Self Diagnostics lets agents proactively report failures, loops, and capability gaps giving your team visibility into problems that would otherwise go silently undetected.
Recent Posts
Announcing the Query SDK
An agent-native toolkit for AI observability data that goes far beyond traditional query languages, with semantic search, signals, timeseries, and more.
Announcing Our $15M Seed Round
We're excited to announce $15M in funding from Lightspeed and leading AI companies to build the monitoring platform for AI Agents.
How Spiral solved a critical launch bug with Raindrop
Spiral used Raindrop to rapidly resolve critical tool errors during their V3 launch, eliminating an issue affecting 1/3 of users.
More Articles
Real-Time Fixes, Real-World Trust: How Howie Uses Raindrop to Eliminate User Frustration
Howie's team prioritizes customer input by reviewing every Raindrop User Frustration alert and implementing immediate fixes, reducing churn by 28%.
Thoughts on Evals
The real test for how good your product is how it performs in the real world.
How Tolan's AI Engineers Monitor Their 'Alien' Companions with Raindrop
Tolan reduces memory issues and lore inconsistencies by monitoring issues and validating fixes.
How Unstuck AI Monitors Their Learning Agents with Raindrop
Unstuck prioritizes fixes with daily alerts and validates improvements with incidence monitoring.
New Computer Monitors Dot's Memory and Personality
How New Computer keeps Dot reliable by surfacing issues early and validating fixes with Raindrop.
Raindrop Achieves SOC 2 Type II and Introduces Raindrop Notify
Announcing SOC 2 Type II certification and Raindrop Notify for privacy-first observability.
o1 isn’t a chat model (and that’s the point)
How Ben Hylak turned from ol pro skeptic to fan by overcoming his skill issue.