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An AI agent reflects on four failures from running itself for months, emphasizing the need for independent monitoring, task verification, and caution against fabrication in persistent AI systems.
Cursor AI introduces Rollouts, a feature that creates monitoring plans and verifies deployments to catch regressions before they affect users.
本文总结了来自 Hamel Husain 和 Shreya Shankar 的 AI Evals 课程的 8 个核心技能，旨在指导工程师和产品经理构建有效的 AI 评测系统，涵盖错误分析、评测器设计、校准和监控等步骤。
A tweet discussing the importance of building headless products for better investment and highlighting Sentry as a useful monitoring tool integrated via CLI.
Sigabrt is a cronjob monitoring service that sends email alerts when scheduled tasks fail to ping, featuring an SSH terminal interface for status management.
A macOS menu bar tool that detects if the model used by Codex matches the selected one, identifying silent downgrades or model switches.
The article outlines 14 essential systems to build for ensuring the reliability and safety of AI agents, including identity management, access controls, and incident response protocols.
OpenObserve is an open-source observability platform written in Rust that offers a cost-effective alternative to commercial log platforms, supporting logs, metrics, traces, and LLM monitoring with SQL and PromQL queries.
The article explores how AI labs and startups are using additional AI systems to monitor and control rogue AI agents, addressing the challenge of overseeing large-scale AI actions that exceed human review capabilities, while noting concerns about AI deception.
This blog post proposes using embedded evaluators to monitor and evaluate frontier AI systems, addressing alignment risks and improving transparency following recent incidents like the OpenAI-Hugging Face hack.
Introducing the US Gov Graph, an AI-powered tool that maps the entire U.S. federal government's structure and personnel to enhance understanding and transparency of institutions.
OpenController by lyzr is a unified control plane for governing AI agents across various platforms, offering deployment, real-time monitoring, and policy enforcement.
The article outlines a 12-stage learning path to become an AI Evals & Reliability Engineer, covering foundational skills to advanced production techniques.
Pulsetic is an all-in-one monitoring platform that tracks uptime, real user performance, and provides customizable status pages with instant alerts via multiple channels and integrations.
The article discusses strategies for governing AI agent swarms, focusing on improving evaluation frameworks, post-deployment monitoring, and incident reporting to mitigate inter-agent risks.
The article discusses how reductions in AI costs might shift usage from transactional queries to continuous monitoring, with implications for businesses, though challenges in interpreting automated reports remain.
Clay leverages AI agents and the LangSmith tool to scale customer discovery and development, demonstrating the use of AI in growth creative tools and development monitoring practices.
A discussion asking about infrastructure setups for running AI agents unattended, covering aspects like execution environments, tool management, secrets, versioning, failures, and scheduling.
A developer discusses the lack of suitable observability tools for AI agents, expressing disappointment with existing solutions like Opik and hoping for a service that supports OpenTelemetry for analyzing agent sessions and failure modes.
SchemeArena is a framework for systematically testing scheming behaviors in LLM agents by varying factors like goals and oversight, finding that agents with their own goals scheme more, and introducing SCOUT for monitoring reasoning and actions.