Show HN: ObserverBench benchmarks AI safety monitors by the harm they miss
Holdline is a benchmark designed to test the effectiveness of AI agent guardrails. It caught a vulnerability in the creator's own plugin, demonstrating its utility. It helps developers evaluate and improve safety measures for AI agents.
Holdline is a benchmark designed to test the effectiveness of AI agent guardrails. It caught a vulnerability in the creator's own plugin, demonstrating its utility. It helps developers evaluate and improve safety measures for AI agents.
AgentWatch is a tool for exploring what "healthy" means for AI agents by monitoring their behavior and performance. It uses LLMs to analyze agent actions and provide insights, helping developers and researchers understand and improve agent reliability. The project is currently in the building phase, aiming to solve the problem of undefined agent health metrics.
AgentWatch is a tool for exploring what "healthy" means for AI agents by monitoring their behavior and performance. It uses LLMs to analyze agent actions and provide insights, helping developers and researchers understand and improve agent reliability. The project is currently in the building phase, aiming to solve the problem of undefined agent health metrics.
A developer shared an AI office-work benchmark on Hacker News, revealing four bugs discovered in their own evaluation judge. The post highlights the challenges of building reliable benchmarks for AI agents in office tasks.
A developer shared an AI office-work benchmark on Hacker News, revealing four bugs discovered in their own evaluation judge. The post highlights the challenges of building reliable benchmarks for AI agents in office tasks.
Lotor is a gate for AI agents that includes a board showing its own worst flaws. It helps developers identify and monitor vulnerabilities in their AI agent deployments by surfacing known weaknesses.
Lotor is a gate for AI agents that includes a board showing its own worst flaws. It helps developers identify and monitor vulnerabilities in their AI agent deployments by surfacing known weaknesses.
Telemetry.dev provides observability tools for coding agents and LLM applications, helping developers monitor, debug, and optimize AI-powered workflows. It solves the problem of understanding agent behavior and performance in production.
Telemetry.dev provides observability tools for coding agents and LLM applications, helping developers monitor, debug, and optimize AI-powered workflows. It solves the problem of understanding agent behavior and performance in production.