The post argues that software and other automated work need clear evaluations to measure results. It says agent automation tools should make it easy to build and run evals across an organization.
The author recommends Stanford’s CS329A lectures on self-improving AI agents and says they are preparing notes. They also invite questions and share a link to recent papers on the topic.
The post describes RIME, a method that trains an AI agent both to complete tasks and to save useful findings for later, with rewards tied to task performance and memory quality. It reports that a trained 4B-parameter model reached scores similar to GPT-5.4 and Claude Opus 4.7, while noting open questions about efficiency and integration into workflows.
The post argues that proactive personal agents need better hardware to gather real-time context and make it actionable, improving productivity.
The author says Drex Max v1.1 ranks first on the Artificial Analysis Decision Index and that their team uses it for research triage in production. The post also refers to a paper about how the Drex open decision models were built.
The author describes XERJ’s Reader-1 as a document question-answering tool that points to exact words and could help extract figures from research papers. XERJ claims it is 20 to 90 times faster than LLMs and 400 times cheaper than Claude Opus 5.5 on input tokens.
The post says Keenable ranks first on the Artificial Analysis Search Index for AI-agent web search APIs. It credits the company’s own search stack and agent-query feedback for its progress.
Expo Simulators lets coding agents test changes on a cloud iOS Simulator and share screenshots and recordings for review. Team members can open builds from a link and try them.
The post describes Concentrate AI as a single API for accessing models through routes with BAA coverage and zero data retention. It advises healthcare teams to verify model and provider coverage for their needs.
The post describes computer.box as a shared cloud computer where AI agents can hand off tasks using the same files and logins. It also claims SimularAI's agent ranks first on OSWorld with an 80.6% score.