Alan Walsh

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

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

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

Overview: four ways to run recurring tasks with Claude Claude can now execute tasks on autopilot, and there are four practical approaches you can choose from depending on how long you want the automation to run, how reliable you need it to be, and how much technical setup you want to manage. I break each … Read more

Overview Claude Cowork brings powerful automation and agent orchestration to a simple desktop interface. I built automations with it that read folders, extract data from invoices, control a browser to interact with web apps, and generate deliverables like Excel sheets, PowerPoint decks, and Word reports. The underlying engine borrows the same planning and sub-agent approach … Read more

I built a set of agentic workflows to see how far coding agents can take routine automation. I wanted to answer a practical question: when should you use a coding agent like Claude Code to generate Python workflows, and when should you stick with visual workflow tools such as n8n? I tested real examples, deployed … Read more

I created an automation that turns short lived AI calls into long running, reliable agents. These agents can research, synthesize, and produce reports that span hours and many data sources. The trick was adding a control layer, which I call an agent harness, around the AI so it can plan, persist progress, and resume work … Read more

I built an automation that lets AI agents answer questions about structured data without hallucinating. It uses natural language query, not just vector stores. The result is a database agent that learns useful SQL patterns over time and reuses them when similar questions come up again. Why vector stores alone often fail for tabular data … Read more

I created an automation that can import tens of thousands of documents into an n8n RAG (Retrieval-Augmented Generation) system with a single click. I recorded this process for The AI Automators to show how to build an orchestrator workflow, run parallel ingestion jobs, and automatically recover from failures without manual intervention. This article breaks down … Read more