Glass turns AI anomalies into automated improvements through an infinite feedback loop that detects misbehaviors and feeds them into continuous evaluations to refine your agent.
Hey! Alex building Glass here. I've built LLM solutions and AI Agents for the last 3 years and every singe project, even on every different markets, always had the same issues : some crazy issues would happen in prod when interacting with real users, which I'd have never imagined during development, so I had to do this back-and-forth between monitoring and evals all the time. With the team at Glass, we're now fixing this problem. Glass catches your AI anomalies in production and automatically turns them into evaluations. We also added Signals in other platforms than Slack; because we never understood why existing tools only support this. Open to all feedback!
Hey! Alex building Glass here.
I've built LLM solutions and AI Agents for the last 3 years and every singe project, even on every different markets, always had the same issues : some crazy issues would happen in prod when interacting with real users, which I'd have never imagined during development, so I had to do this back-and-forth between monitoring and evals all the time.
With the team at Glass, we're now fixing this problem. Glass catches your AI anomalies in production and automatically turns them into evaluations.
We also added Signals in other platforms than Slack; because we never understood why existing tools only support this.
Open to all feedback!