Automations

Every new model release brings the same promise. Better reasoning. Better synthesis. Better scores on the benchmarks. And yet, if you build knowledge agents for real work, the failures that matter most still keep showing up. I see this especially in retrieval-based systems. The model pulls in source material, then produces something that looks polished … Read more

There’s a huge race happening in AI right now to define what comes after conventional RAG. By this point, most people have heard some variation of “RAG is dead.” I don’t buy that framing. It’s usually too dramatic, and the proposed replacements are often too simple. What is true is that basic retrieval pipelines break … Read more

One of the biggest problems with AI agents shows up right after they seem to be working. An agent answers well. It reasons well enough. It picks tools. It performs actions. Then one day it sends the wrong email, charges the wrong customer, deletes the wrong file, or writes bad data into production. By the … Read more

Last month, Microsoft researchers published a paper with a blunt headline: large language models corrupt your documents when you delegate work to them. I think this matters a lot more than most AI coverage suggests. Right now, much of the conversation around AI still revolves around coding. That’s important, but it’s also narrow. The bigger … Read more

Anthropic recently announced a feature for managed agents called Dreaming. OpenClaw released something very similar before that, with the same name. That timing matters less than the pattern itself, because this feature points to a much bigger shift in agent design. Agents are moving beyond simple request and response systems. The new goal is improvement … Read more

Over the last year, I’ve seen a steady stream of headlines declaring that RAG is dead. Then the proposed replacement changes every few weeks. Sometimes it’s long context windows. Sometimes it’s agentic file exploration. Sometimes it’s context engineering, memory systems, or agent skills. Most of those headlines are too dramatic. But something genuinely interesting did … Read more

OpenAI recently published an open source orchestration spec called Symphony. On the surface, it looks like a practical system for scaling autonomous coding agents. But the deeper value isn’t just the tool itself. It’s the architecture lesson sitting underneath it. The big shift is simple. As coding agents get better, the human stops being the … Read more

Three of the biggest names in AI all made moves in the agent space within a single week. Anthropic launched Claude Managed Agents. LangChain answered with Deep Agents Deploy. Then OpenAI shipped the next evolution of its Agents SDK. At first glance, these looked like three separate announcements. They weren’t. They were three different answers … Read more

Anthropic recently published a deep dive on harness design for long-running AI agents. The topic sounds narrow, but the lessons apply to almost any specialized agent system I build, from contract review to compliance audits, risk analysis, content pipelines, and impact assessments. The core idea is simple but easy to miss: an AI model alone … Read more

In 2026, a lot of people expect AI to finally deliver real work and real business value. Not “AI wrote a blog post.” Not “AI drafted a few social messages.” I’m talking about AI systems that can run complex, multi-stage workflows that normally involve humans, spreadsheets, approvals, and a lot of domain knowledge. Examples include … Read more